Publications

2022

• Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, Tianze Wang, Vladimir Vlassov, Amir H. Payberah, Moritz Meister, Robin Andersson, and Jim Dowling, Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks, Remote Sensing

• Nuria Marzo I Grimalt, Serveh Shalmashi, Forough Yaghoubi, Leif Jonsson, and Amir H. Payberah, BERTicsson: A Recommender System For Troubleshooting, Workshop on Scientific Document Understanding (SDU@AAAI), co-located with AAAI

• Massimo Perini, Giorgia Ramponi, Paris Carbone, and Vasia Kalavri, Learning on Streaming Graphs with Experience Replay, ACM Symposium on Applied Computing (SAC)

• Simone Zamboni, Zekarias Tilahun Kefato, Sarunas Girdzijauskas, Christoffer Norén, and Laura Dal Col, Pedestrian Trajectory Prediction With Convolutional Neural Networks, Elsevier Journals on Pattern Recognition

• Tianze Wang, Amir H. Payberah, Desta Haileselassie Hagos, and Vladimir Vlassov, Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement, IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS)

2021

• Abdul Aziz Alkathiri, Lodovico Giaretta, Sarunas Girdzijauskas, and Magnus Sahlgren, Decentralized Word2Vec Using Gossip Learning, Nordic Conference on Computational Linguistics (NoDaLiDa)

• Albert Asratyan, Sina Sheikholeslami, and Vladimir Vlassov, A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation, The IEEE International Conference on Big Data (BigData)

• Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir H. Payberah and Dumitru Roman, Locality-Aware Workflow Orchestration for Big Data, ACM International Conference on Management of Digital EcoSystems (MEDES) [Best Paper Award]

• Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir H. Payberah, and Dumitru Roman, Big Data Workflows: Locality-aware Orchestration using Software Containers, MDPI Sensors

• Astrid Armgarth, Sandra Pantzare, Patrik Arven, Roman Lassnig, Hiroaki Jinno, Erik O. Gabrielsson, Yonatan Kifle, Dennis Cherian, Theresia Arbring Sjöström, Gautier Berthou, Jim Dowling, Takao Someya, J. Jacob Wikner, Göran Gustafsson, Daniel T. Simon, and Magnus Berggren, A Digital Nervous System Aiming Toward Personalized IoT Healthcare, Scientific reports

• Daniel Garcia Bernal, Lodovico Giaretta, Sarunas Girdzijauskas, and Magnus Sahlgren, Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning, arXiv

• David Gureya, Joao Barreto, and Vladimir Vlassov, BALM: QoS-Aware Memory Bandwidth Partitioning for Multi-Socket Cloud Nodes, ACM Symposium on Parallelism in Algorithms and Architectures (SPAA)

• David Gureya, Joao Barreto, and Vladimir Vlassov, Generalizing QoS-Aware Memory Bandwidth Allocation to Multi-Socket Cloud Servers, IEEE International Conference on Cloud Computing (CLOUD)

• Debaditya Roy, Sarunas Girdzijauskas, and Serghei Socolovschi, Confidence-Calibrated Human Activity Recognition, Multidisciplinary Digital Publishing Institute (MDPI)

• Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Andrew Fleming, Andreas Cziferszky, Markus Muerth, Florian Appel, Despina-Athanasia Pantazi, Dimitris Bilidas, George Papadakis, George Mandilaras, George Stamoulis, Manolis Koubarakis, Antonis Troumpoukis, and Stasinos Konstantopoulos, The ExtremeEarth Software Architecture for Copernicus Earth Observation Data, Big Data from Space (BiDS)

• Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Claudia Paris, Daniele Marinelli, Giulio Weikmann, Lorenzo Bruzzone, Salman Khaleghian, Thomas Kræmer, Torbjørn Eltoft, Andrea Marinoni, Despina-Athanasia Pantazi, George Stamoulis, Dimitris Bilidas, George Papadakis, George Mandilaras, Manolis Koubarakis, Antonis Troumpoukis, Stasinos Konstantopoulos, Markus Muerth, Florian Appel, Andrew Fleming, and Andreas Cziferszky, ExtremeEarth Meets Satellite Data from Space, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)

• Francesco V. Lorenzo, Sahar Asadi, Alice Karnsund, Tianze Wang, and Amir H. Payberah, Generalized Reinforcement Learning for Gameplay, Workshop on Reinforcement Learning in Games (AAAI-RLG), co-located with AAAI

• Ian Marsh, Nicolae Paladi, Henrik Abrahamsson, Jonas Gustafsson, Johan Sjöberg, Andreas Johnsson, Pontus Sköldström, Jim Dowling, Paolo Monti, Melina Vruna, and Mohsen Amiribesheli, Evolving 5G: ANIARA, An Edge-Cloud Perspective, ACM International Conference on Computing Frontiers (CF)

• Jingna Zeng, Shady Issa, Paolo Romano, Luis Rodrigues, and Seif Haridi, Investigating the Semantics of Futures in Transactional Memory Systems, ACM SIGPLAN Annual Symposium Principles and Practice of Parallel Programming (PPoPP)

• Jonas Spenger, Paris Carbone, Philipp Haller, Pods: Privacy Compliant Scalable Decentralized Data Services, International Workshop on Heterogeneous Data Management, Polystores, and Analytics for Healthcare, co-located with VLDB21

• Kamal Hakimzadeh, Patrick K. Nicholson, Diego Lugones, and Amir H. Payberah, IMITA: Imitation Learning for Generalizing Cloud Orchestration, The IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

• Karl Fredrik Erliksson, Anders Arpteg, Mihhail Matskin and Amir H. Payberah, Cross-Domain Transfer of Generative Explanations using Text-to-Text Models, International Conference on Natural Language and Information Systems (NLDB)

• Lodovico Giaretta, Ahmed Lekssays, Barbara Carminati, Elena Ferrari, and Sarūnas Girdzijauskas, LiMNet: Early-Stage Detection of IoT Botnets with Lightweight Memory Networks, Springer European Symposium on Research in Computer Security

• Lodovico Giaretta, Ioannis Savvidis, Thomas Marchioro, Sarunas Girdzijauskas, George Pallis, Marios D. Dikaiakos, and Evangelos Markatos, PDS2: A User-Centered Decentralized Marketplace for Privacy Preserving Data Processing, International Workshop on Blockchain and Data Management (BlockDM2021), co-located with IDCE

• Manolis Koubarakis, George Stamoulis, Dimitris Bilidas, Theofilos Ioannidis, Despina-Athanasia Pantazi, Vladimir Vlassov, Amir H. Payberah, Tianze Wang, Sina Sheikholeslami, Desta Haileselassie Hagos, Lorenzo Bruzzone, Claudia Paris, Giulio Weikmann, Daniele Marinelli, Torbjørn Eltoft, Andrea Marinoni, Thomas Kræmer, Salman Khaleghian, Antonis Troumpoukis, Stasinos Konstantopoulos, Vangelis Karkaletsis, Jim Dowling, Theofilos Kakantousis, Mihai Datcu, Corneliu Octavian Dumitru, Wei Yao, Florian Appel, Silke Migdall, Markus Muerth, Heike Bach, Nick Hughes, Alistair Everett, Ashild Kiærbech, Joakim Lillehaug Pedersen, David Arthurs, Andrew Fleming, and Andreas Cziferszky, Artificial Intelligence and Big Data Technologies for Copernicus Data: the ExtremeEarth Project, Big Data from Space (BiDS)

• Marcus Hägglund, Francisco J. Peña, Sepideh Pashami, Ahmad Al-Shishtawy, and Amir H. Payberah, CoCluBERT: Clustering Machine Learning Source Code, The IEEE International Conference on Machine Learning and Applications (ICMLA)

• Marina Angelovska, Sina Sheikholeslami, Bas Dunn, and Amir H. Payberah, Siamese Neural Networks for Detecting Complementary Products, Student Research Workshop (EACL-SRW), co-located with EACL

• Mihhail Matskin, Shirin Tahmasebi, Amirhossein Layegh, Amir H. Payberah, Aleena Thomas, Nikolay Nikolov, and Dumitru Roman, A Survey of Big Data Pipeline Orchestration Tools from the Perspective of the DataCloud Project, International Conference on Data Analytics and Management in Data-Intensive Domains (DAMDID)

• Nikolay Nikolov, Yared Dejene Dessalk, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir H. Payberah, and Dumitru Roman, Conceptualization and Scalable Eexecution of Big Data Workflows Using Domain-Specific Languages and Software Containers, Elsevier Internet of Things (IoT)]

• Paris Carbone, Gyoergy Dan, James Gross, Bo Goeransson, and Marina Petrova, NeuroRAN: rethinking virtualization for AI-native radio access networks in 6G, arXiv

• Roxana Merino Martinez, Heimo Müller, Stefan Negru, Alex Ormenisan, Laila Sara Arroyo Mühr, Xinyue Zhang, Frederik Trier Møller, Mark S Clements, Zisis Kozlakidis, Ville N Pimenoff, Bartlomiej Wilkowski, Martin Boeckhout, Hanna Öhman, Steven Chong, Andreas Holzinger, Matti Lehtinen, Evert-Ben van Veen, Piotr Bała, Martin Widschwendter, Jim Dowling, Juha Törnroos, Michael P Snyder, and Joakim Dillner, Human Exposome Assessment Platform, Environmental Epidemiology

• Sana Imtiaz, Muhammad Arsalan, Vladimir Vlassov and Ramin Sadre, Synthetic and Private Smart Health Care Data Generation using GANs, Workshop on Security, Privacy, Trust, and Machine Learning for IoT (IoTSPT-ML 2021), co-located with ICCCN

• Sana Imtiaz, Philipp Matthies, Francisco Pinto, Máté Maros, Holger Wenz, Ramin Sadre and Vladimir Vlassov, PyDPLib: Python Differential Privacy Library for Private Medical Data Analytics, IEEE International Conference on Digital Health (ICDH)

• Sana Imtiaz, Zannatun N. Tania, Hassan Nazeer Chaudhry, Muhammad Arsalan, Ramin Sadre, and Vladimir Vlassov, Machine Learning with Reconfigurable Privacy on Resource-Limited Computing Devices, IEEE International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage (SpaCCS)

• Sina Sheikholeslami, Moritz Meister, Tianze Wang, Amir H. Payberah, Vladimir Vlassov, and Jim Dowling, AutoAblation: Automated Parallel Ablation Studies for Deep Learning, Workshop on Machine Learning and Systems (EuroMLSys), co-located with EuroSys

• Stefano Fedeli, Frida Schain, Sana Imtiaz, Zainab Abbas, and Vladimir Vlassov, Privacy Preserving Survival Prediction, IEEE International Conference on Big Data (BigData)

• Stefanos Antaris, Dimitrios Rafailidis, and Sarunas Gidzijauskas, A Deep Graph Reinforcement Learning Model for Improving User Eexperience in Live Video Streaming, IEEE International Conference on Big Data (BigData)

• Stefanos Antaris, Dimitrios Rafailidis, and Sarunas Girdzijauskas, Knowledge Distillation on Neural Networks for Eevolving Graphs, Springer Social Network Analysis and Mining (SNAM)

• Stefanos Antaris, Dimitrios Rafailidis, and Sarunas Girdzijauskas, Meta-Reinforcement Learning via Buffering Graph Signatures for Live Video Streaming Events, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

• Zekarias T Kefato, Sarunas Girdzijauskas, and Hannes Stärk, Jointly Learnable Data Augmentations for Self-Supervised GNNs, arXive

• Zekarias Kefato, Sarunas Girdzijauskas, Nasrullah Sheikh, and Alberto Montresor, Dynamic Embeddings for Interaction Prediction, The Web Conference (WWW)

• Zekarias Kefato, and Sarunas Girdzijauskas, SelfGNN: Self-supervised Graph Neural Networks Without Explicit Negative Sampling, International Workshop on Self-Supervised Learning for the Web (SSL’21), co-located with WWW

2020

• Alexandru A. Ormenisan, Mahmoud Ismail, Seif Haridi, and Jim Dowling, Implicit Provenance for Machine Learning Artifacts, Workshop on MLOps Systems, co-located with MLSys

• Alexandru A Ormenisan, Moritz Meister, Fabio Buso, Robin Andersson, Seif Haridi, and Jim Dowling, Time Travel and Provenance for Machine Learning Pipelines, The USENIX Conference on Operational Machine Learning (OpML)

• Amira Soliman, Sarunas Girdzijauskas, Mohamed-Rafik Bouguelia, Sepideh Pashami, and Slawomir Nowacz, Decentralized and Adaptive K-Means Clustering for Non-IID Data using HyperLogLog Counters, The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

• Andrea Nardelli, Vladimir Vlassov, Amir H. Payberah, Framework-Agnostic Optimization of Repeated Skewed Joins at Massive Scale, The IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA) [Best Paper Award]

• Daniele Montesi, Vladimir Vlassov, and Sarunas Girdzijauskas, Repeating Link Prediction over Dynamic Graphs, Workshop on Big Data for Financial News and Data, co-located with IEEE BigData

• David Gureya, Joao Neto, Reza Karimi, Joao Barreto, Pramod Bhatotia, Vivien Quema, Rodrigo Rodrigues, Paolo Romano, and Vladimir Vlassov, Bandwidth-Aware Page Placement in NUMA Systems, IEEE International Parallel and Distributed Processing Symposium (IPDPS)

• Farzad Kamrani, Andreas Elers, Mika Cohen, and Amir H. Payberah, MarioDAgger: A Time and Space Efficient Autonomous Driver, The IEEE International Conference on Machine Learning and Applications (ICMLA)

• Francesco V. Lorenzo, Sahar Asadi, Alice Karnsund, Lele Cao, Tianze Wang, and Amir H. Payberah, Use All Your Skills, Not Only The Most Popular Ones, The IEEE Conference on Games (CoG)

• Jingna Zeng, Seif Haridi, Shady Issa, Paolo Romano, and Luis Rodrigues, Giving Future (s) to Transactional Memory, The ACM Symposium on Parallelism in Algorithms and Architectures (SPAA)

• Jose Roberto Ayala Solares, Francesca Elisa Diletta Raimondi, Yajie Zhu, Fatemeh Rahimian, Dexter Canoy, Jenny Tran, Ana Catarina Pinho Gomes, Amir H. Payberah, Mariagrazia Zottoli, Milad Nazarzadeh, Nathalie Conrad, Kazem Rahimi, and Gholamreza Salimi-Khorshidi, Deep Learning for Electronic Health Records: A Comparative Review of Multiple Deep Neural Architectures, Journal of Biomedical Informatics

• Mahmoud Ismail, Salman Niazi, Gautier Berthou, Mikael Ronstrom, Seif Haridi, and Jim Dowling, HopsFS-S3: Extending Object Stores with POSIX-like Semantics and More, The ACM/IFIP International Middleware Conference (Middleware)

• Mahmoud Ismail, Salman Niazi, Mauritz Sundell, Mikael Ronström, Seif Haridi, and Jim Dowling, Distributed Hierarchical File Systems Strike Back in the Cloud, The IEEE International Conference on Distributed Computing Systems (ICDCS)

• Marianela García Lozano, Joel Brynielsson, Ulrik Frankec, Magnus Rosella, Edward Tjörnhammar, Stefan Varga, Vladimir Vlassov, Veracity Assessment of Online Data, Decision Support Systems

• Milko Mitropolitsky, Zainab Abbas, Amir H. Payberah, Graph Representation Matters in Device Placement, Workshop on Distributed Infrastructures for Deep Learning (DIDL), co-located with ACM/IFIP Middleware

• Moritz Meister, Sina Sheikholeslami, Amir H. Payberah, Vladimir Vlassov, Jim Dowling, Maggy: Scalable Asynchronous Parallel Hyperparameter Search, Workshop on Distributed Machine Learning (DistributedML), co-located with ACM CoNEXT

• Moritz Meister, Sina Sheikholeslami, Robin Andersson, Alexandru A. Ormenisan, and Jim Dowling, Towards Distribution Transparency for Supervised ML With Oblivious Training Functions, Workshop on MLOps Systems, co-located with MLSys

• Nuno Apolónia, Felix Freitag, Leandro Navarro, and Sarunas Girdzijauskas, Socially Aware Microcloud Service Overlay Optimization in Community Networks, Software: Practice and Experience

• Paris Carbone, Marios Fragkoulis, Vasiliki Kalavri, and Asterios Katsifodimos, Beyond Analytics: the Evolution of Stream Processing Systems, ACM Special Interest Group on Management Of Data (SIGMOD)

• Peter Van Roy, Seif Haridi, Christian Schulte, and Gert Smolka, A History of the Oz Multiparadigm Language, ACM Programming Language

• Sana Imtiaz, Sonia-Florina Horchidan, Zainab Abbas, Muhammad Arsalan, Hassan Nazeer Chaudhry, and Vladimir Vlassov, Privacy Preserving Time-Series Forecasting of User Health Data Streams, Workshop on Data Analytics for Smart Health (DASH), co-located with IEEE BigData

• Stefanos Antaris, Dimitrios Rafailidis, and Sarunas Girdzijauskas, EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events, The IEEE International Conference on Big Data (BigData)

• Sumeet Dhariwal, Ying Liu, Abubakrelsedik Karali, Vladimir Vlassov, Clothing Classification using Unsupervised Pre-Training, International Conference on Multimedia Computing, Networking and Applications (MCNA)

• Susanna Pozzoli, Amira Soliman, Leila Bahri, Rui MamedeBranca, Sarunas Girdzijauskas, and Marco Brambilla, Domain Expertise–Agnostic Feature Selection for the Analysis of Breast Cancer Data, Artificial Intelligence in Medicine

• Tianze Wang, Amir H. Payberah, and Vladimir Vlassov, ConvJSSP: Convolutional Learning for Job-Shop Scheduling Problems, The IEEE International Conference on Machine Learning and Applications (ICMLA)

• Zed Lee, Sarūnas Girdzijauskas, and Panagiotis Papapetrou, Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD)

• Zekarias T. Kefato, and Sarunas Girdzijauskas, Gossip and Attend: Context-Sensitive Graph Representation Learning, The International AAAI Conference on Web and Social Media (ICWSM)

• Zekarias T. Kefato, and Sarunas Girdzijauskas, Graph Neighborhood Attentive Pooling, arXiv

2019

• Hooman Peiro Sajjad, Andrew Docherty, and Yuriy Tyshetskiy, Efficient Representation Learning Using Random Walks for Dynamic Graphs, arXiv

• Kamal Hakimzadeh, and Jim Dowling, Karamel: A System for Timely Provisioning Large-Scale Software Across IaaS Clouds, IEEE International Conference on Cloud Computing (CLOUD)

• Kamal Hakimzadeh, and Jim Dowling, Ops-Scale: Elastic Cloud Operations by Declarative Functional Abstraction and Feedback Control Loop, IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO)

• Lars Kroll, Klas Segeljakt, Paris Carbone, Christian Schulte, and Seif Haridi, Arc: An IR for Batch and Stream Programming, ACM SIGPLAN International Symposium on Database Programming Languages (DBPL)

• Leila Bahri, and Sarunas Girdzijauskas, Trust Mends Blockchains: Living up to Expectations, IEEE International Conference on Distributed Computing Systems (ICDCS)

• Lodovico Giaretta, and Sarunas Girdzijauskas, Gossip Learning: Off the Beaten Path, IEEE International Conference on Big Data (BigData)

• Mahmoud Ismail, August Bonds, Salman Niazi, Seif Haridi, and Jim Dowling, Scalable Block Reporting for HopsFS, IEEE International Congress on Big Data (BigData Congress) [Best Paper Award]

• Mahmoud Ismail, Mikael Ronström, Seif Haridi, and Jim Dowling, ePipe: Near Real-Time Polyglot Persistence of HopsFS Metadata, IEEE/ACM International Symposium on Cluster, Cloud and Grid (CCGRID)

• Manolis Koubarakis et al., From Copernicus Big Data to Extreme Earth Analytics, Open Proceedings

• Paolo Trunfio, and Vladimir Vlassov, Clouds for Scalable Big Data Processing, International Journal of Parallel, Emergent and Distributed Systems

• Paris Carbone, Asterios Katsifodimos, and Seif Haridi, Stream Window Aggregation Semantics and Optimization, Encyclopedia of Big Data Technologies

• Sana Imtiaz, Ramin Sadre, and Vladimir Vlassov, On the Case of Privacy in the IoT Ecosystem: A Survey, IEEE International Conference on Internet of Things (iThings)

• Zainab Abbas, Jon Reginbald Ivarsson, Ahmad Al-Shishtawy, and Vladimir Vlassov, Scaling Deep Learning Models for Large Spatial Time-Series Forecasting, IEEE International Conference on Big Data (BigData)

2018

• Amin M. Khan, Felix Freitag, Vladimir Vlassov, and Phuong Hoai Ha, Towards IoT Service Deployments on Edge Community Network Microclouds, IEEE International Conference on Computer Communications (INFOCOM)

• Amira Soliman, Fatemeh Rahimian, and Sarunas Girdzijauskas, Stad: Stateful Diffusion for Linear Time Community Detection, IEEE International Conference on Distributed Computing Systems (ICDCS)

• Chen Chen, Yoav Tock, and Sarunas Girdzijauskas, BeaConvey: Co-Design of Overlay and Routing for Topic-based Publish/Subscribe on Small-World Networks, International Conference on Distributed and Event-Based Systems (DEBS)

• Fatemeh Rahimian, Gholamreza Salimi-Khorshidi, Jenny Tran, Amir H. Payberah, Roberto Ayala Solares, Francesca Raimondi, Milad Nazarzadeh, Dexter Canoy, and Kazem Rahimi, Predicting the Risk of Emergency Hospital Admissions in the General Population: Development and Validation of Machine Learning Models in a Cohort Study Using Large-Scale Linked Electronic Health Records, PLOS Medicine

• Hooman Peiro Sajjad, Ying Liu, and Vladimir Vlassov, Optimizing Windowed Aggregation over Geo-Distributed Data Streams, IEEE International Conference on Edge Computing (EDGE)

• Jingna Zeng, Paolo Romano, Joao Barreto, Luís Rodrigues, and Seif Haridi, Online Tuning of Parallelism Degree in Parallel Nesting Transactional Memory, IEEE International Parallel and Distributed Processing Symposium (IPDPS)

• Kamal Hakimzadeh, Patrick K Nicholson, and Diego Lugones, Auto-Scaling with Apprenticeship Learning, ACM Symposium on Cloud Computing (SoCC)

• Kambiz Ghoorchian, and Sarunas Girdzijauskas, Spatio-Temporal Multiple Geo-Location Identification on Twitter, IEEE International Conference on Big Data (BigData)

• Konstantin Sozinov, Vladimir Vlassov, and Sarunas Girdzijauskas, Human Activity Recognition Using Federated Learning, IEEE Internationl Conference on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom)

• Leila Bahri, and Sarunas Girdzijauskas, When Trust Saves Enegry-A Reference Franework for Proof-of-Trust (PoT) Blockchains, The Web Conference (WWW)

• Linnea Ingmar, and Christian Schulte, Making Compact-Table Compact, International Conference on Principles and Practice of Constraint

• Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, and Amir H. Payberah, An Adaptive Algorithm for Anomaly and Novelty Detection in Evolving Data Streams, Data Mining and Knowledge Discovery

• Nuno Apolónia, Stefanos Antaris, Sarunas Girdzijauskas, George Pallis, and Marios Dikaiakos, SELECT: A Distributed Publish/Subscribe Notification System for Online Social Networks, IEEE International Parallel and Distributed Processing Symposium (IPDPS)

• Roberto Castañeda Lozano, Mats Carlsson, Gabriel Hjort Blindell, and Christian Schulte, Combinatorial Register Allocation and Instruction Scheduling, arXiv

• Salman Niazi, Mikael Ronström, Seif Haridi, and Jim Dowling, Size Matters: Improving the Performance of Small Files in Hadoop, International Middleware Conference (MIDDLEWARE)

• Zainab Abbas, Ahmad Al-Shishtawy, Sarunas Girdzijauskas, and Vladimir Vlassov, Short-Term Traffic Prediction Using Long Short-Term Memory Neural Networks, IEEE International Congress on Big Data (BigData Congress)

• Zainab Abbas, Thorsteinn Thorri Sigurdsson, Ahmad Al-Shishtawy, and Vladimir Vlassov, Evaluation of the Use of Streaming Graph Processing Algorithms for Road Congestion Detection, IEEE International Confrence on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom)

• Zainab Abbas, Vasiliki Kalavri, Paris Carbone, and Vladimir Vlassov, Streaming Graph Partitioning: an Experimental Study, VLDB Endowment

• Zekarias Kefato, Nasrullah Sheikh, Leila Bahri, Amira Soliman, Sarunas Girdzijauskas, and Alberto Montresor, CaTS: Network-Agnostic Virality Prediction Model to Aid Rumour Detection, International Workshop on Rumours and Deception in Social Media (RDSM)

• Zekarias T. Kefato, Nasrullah Sheikh, Leila Bahri, Amira Soliman, Alberto Montresor, and Sarunas Girdzijauskas, Cas2vec: Network-Agnostic Cascade Prediction in Online Social Networks, International Conference on Social Networks Analysis, Management and Security (SNAMS)

2017

• Ahsan Javed Awan, Moriyoshi Ohara, Eduard Ayguadé, Kazuaki Ishizaki, Mats Brorsson, and Vladimir Vlassov, Identifying the Potential of Near Data Processing for Apache Spark, International Symposium on Memory Systems

• Amira Soliman, and Sarunas Girdzijauskas, AdaGraph: Adaptive Graph-Based Algorithms for Spam Detection in Social Networks, International Conference on Networked Systems

• Diarmuid Corcoran, Loghman Andimeh, Andreas Ermedahl, Per Kreuger, and Christian Schulte, Data Driven Selection of DRX for Energy Efficient 5G RAN, International Conference on Network and Service Management (CNSM)

• Gabriel Hjort Blindell, Mats Carlsson, Roberto Castañeda Lozano, and Christian Schulte, Complete and Practical Universal Instruction Selection, ACM Transactions on Embedded Computing Systems (TECS)

• Hooman Peiro Sajjad, Kamal Hakimzadeh, and Shelan Perera, Reproducible Distributed Clusters with Mutable Containers: To Minimize Cost and Provisioning Time, ACM Workshop on Hot Topics in Container Networking and Networked Systems

• Ifeanyi W Ubah, Lars Kroll, Alexandru A Ormenisan, and Seif Haridi, KompicsTesting-Unit Testing Event Streams, arXiv

• Joseph D Scott, Pierre Flener, Justin Pearson, and Christian Schulte, Design and Implementation of Bounded-Length Sequence Variables, International Conference on AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

• Kambiz Ghoorchian, Sarunas Girdzijauskas, and Fatemeh Rahimian, DeGPar: Large Scale Topic Detection using Node-Cut Partitioning on Dense Weighted Graphs, IEEE International Conference on Distributed Computing Systems (ICDCS)

• Lars Kroll, Paris Carbone, and Seif Haridi, Kompics Scala: Narrowing the Gap Between Algorithmic Specification and Executable Code, ACM SIGPLAN International Symposium on Scala

• Lars Kroll, Alexandru A. Ormenişan, and Jim Dowling, Fast and Flexible Networking for Message-Oriented Middleware, IEEE International Conference on Distributed Computing Systems (ICDCS)

• Mahmoud Ismail, Ermias Gebremeskel, Theofilos Kakantousis, Gautier Berthou, and Jim Dowling, Hopsworks: Improving User Experience and Development on Hadoop with Scalable, Strongly Consistent Metadata, IEEE International Conference on Distributed Computing Systems (ICDCS)

• Mahmoud Ismail, Salman Niazi, Mikael Ronström, Seif Haridi, and Jim Dowling, Scaling HDFS to More than 1 Million Operations Per Second with HopsFS, IEEE/ACM International Symposium on Cluster, Cloud and Grid (CCGRID) [Best Paper Award]

• Marc Bux, Jörgen Brandt, Carl Witt, Jim Dowling, and Ulf Leser, Hi-WAY: Execution of Scientific Workflows on Hadoop YARN, International Conference on Extending Database Technology (EDBT)

• Muhammad Anis Uddin Nasir, Aristides Gionis, Gianmarco De Francisci Morales, and Sarunas Girdzijauskas, Fully Dynamic Algorithm for Top-k Densest Subgraphs, ACM Conference on Information and Knowledge Management

• Muhammad Anis Uddin Nasir, Hiroshi Horii, Marco Serafini, Nicolas Kourtellis, Rudy Raymond, Sarunas Girdzijauskas, and Takayuki Osogami, Load Balancing for Skewed Streams on Heterogeneous Cluster, arXiv

• Nuno Apolónia, Felix Freitag, Leandro Navarro, Sarunas Girdzijauskas, and Vladimir Vlassov, Gossip-Based Service Monitoring Platform for Wireless Edge Cloud Computing, IEEE International Conference on Networking, Sensing and Control (ICNCS)

• Paris Carbone, Stephan Ewen, Gyula Fóra, Seif Haridi, Stefan Richter, and Kostas Tzoumas, State Management in Apache Flink®: Consistent Stateful Distributed Stream Processing, VLDB Endowment

• Paris Carbone, Gábor E Gévay, Gábor Hermann, Asterios Katsifodimos, Juan Soto, Volker Markl, and Seif Haridi, Large-Scale Data Stream Processing Systems, Handbook of Big Data Technologies

• Roberto Roverso, Ricardo Reale, Sameh El-Ansary, and Seif Haridi, Aggressive Prefetching, US Patent

• Ruma Paul, Jérémie Melchior, Peter Van Roy, and Vladimir Vlassov, Designing Distributed Applications Using a Phase-Aware, Reversible System, IEEE International Conference on Edge Computing (EDGE)

• Salman Niazi, Mahmoud Ismail, Seif Haridi, Jim Dowling, Steffen Grohsschmiedt, and Mikael Ronström, Hopsfs: Scaling Hierarchical File System Metadata using NewSQL Databases, USENIX Conference on File and Storage Technologies (FAST)

• Shelan Perera, Ashansa Perera, and Kamal Hakimzadeh, Reproducible Experiments for Comparing Apache Flink and Apache Spark on Public Clouds, arXiv

• Sileshi Demesie Yalew, Gerald Q Maguire, Seif Haridi, and Miguel Correia, Hail to the Thief: Protecting data from mobile ransomware with ransomsafedroid, IEEE International Symposium on Network Computing and Applications (NCA)

• Sileshi Demesie Yalew, Pedro Mendonca, Gerald Q Maguire, Seif Haridi, and Miguel Correia, TruApp: A TrustZone-Based Authenticity Detection Service for Mobile Apps, IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

• Sileshi Demesie Yalew, Gerald Q Maguire, Seif Haridi, and Miguel Correia DroidPosture: A Trusted Posture Assessment Service for Mobile Devices, IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

• Sileshi Demesie Yalew, Gerald Q Maguire, Seif Haridi, and Miguel Correia T2Droid: A TrustZone-Based Dynamic Analyser for Android Applications, IEEE Trustcom/BigDataSE/ICESS

• Vamis Xhagjika, Òscar Divorra Escoda, Leandro Navarro, and Vladimir Vlassov, Media Streams Allocation and Load Patterns for a WebRTC Cloud Architecture, International Conference on the Network of the Future (NOF)

• Vamis Xhagjika, Òscar Divorra Escoda, Leandro Navarro, and Vladimir Vlassov, Load and Video Performance Patterns of a Cloud Based Webrtc Architecture, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)

• Vasiliki Kalavri, Vladimir Vlassov, and Seif Haridi, High-Level Programming Abstractions for Distributed Graph Processing, IEEE Transactions on Knowledge and Data Engineering

• Ying Liu, Daharewa Gureya, Ahmad Al-Shishtawy, and Vladimir Vlassov, OnlineElastMan: Self-Trained Proactive Elasticity Manager for Cloud-Based Storage Services, Cluster Computing

• Ying Liu, Xi Guan, Vladimir Vlassov, and Seif Haridi, MeteorShower: Minimizing Request Latency for Majority Quorum-Based Data Consistency Algorithms in Multiple Data Centers, IEEE International Conference on Distributed Computing Systems (ICDCS)

2016

• Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, and Eduard Ayguade, Architectural Impact on Performance of In-Memory Data Analytics: Apache Spark Case Study, arXiv

• Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, and Eduard Ayguade, Micro-Architectural Characterization of Apache Spark on Batch and Stream Processing Workloads, IEEE International Conferences on Big Data and Cloud Computing (BDCloud)

• Ahsan Javed Awan, Vladimir Vlassov, Mats Brorsson, and Eduard Ayguade, Node Architecture Implications for In-Memory Data Analytics on Scale-in Clusters, IEEE/ACM International Conference on Big Data Computing, Applications and Technologies

• Alessio Guerrieri, Fatemeh Rahimian, Sarunas Girdzijauskas, and Alberto Montresor, Tovel: Distributed Graph Clustering for Word Sense Disambiguation, IEEE International Conference on Data Mining Workshops (ICDMW)

• Amira Soliman, Leila Bahri, Sarunas Girdzijauskas, Barbara Carminati, and Elena Ferrari, CADIVa: Cooperative and Adaptive Decentralized Identity Validation Model for Social Networks, Social Network Analysis and Mining

• Amira Soliman, and Sarunas Girdzijauskas, DLSAS: Distributed Large-Scale Anti-Spam Framework for Decentralized Online Social Networks, IEEE International Conference on Collaboration and Internet Computing (CIC)

• Hanna Kavalionak, Amir H. Payberah, Alberto Montresor, and Jim Dowling, NATCloud: Cloud-Assisted NAT-Traversal Service, ACM/SIGAPP Symposium on Applied Computing (SAC)

• Hooman Peiro Sajjad, Amir H. Payberah, Fatemeh Rahimian, Vladimir Vlassov, and Seif Haridi, Boosting Vertex-Cut Partitioning for Streaming Graphs, IEEE International Congress on Big Data (BigData Congress) [Best Paper Award]

• Hooman Peiro Sajjad, Ken Danniswara, Ahmad Al-Shishtawy, and Vladimir Vlassov, SpanEdge: Towards Unifying Stream Processing Over Central and Near-the-Edge Data Centers, IEEE/ACM Symposium on Edge Computing (SEC)

• Jimmy HM Lee, Christian Schulte, and Zichen Zhu, Increasing Nogoods in Restart-Based Search, AAAI Conference on Artificial Intelligence

• Jingna Zeng, Joao Barreto, Seif Haridi, Luís Rodrigues, and Paolo Romano, The Future(s) of Transactional Memory, International Conference on Parallel Processing (ICPP)

• Konstantinos Vandikas, Paris Carbone, and Farjola Peco, Recovery of Operational State Values for Complex Event Processing Based on a Time Window Defined by an Event Query, US Patent

• Lars Kroll, Jim Dowling, and Seif Haridi, Static Type Checking for the Kompics Component Model: Kola-The Kompics Language, Workshop on Programming Models and Languages for Distributed Computing

• Leila Bahri, Amira Soliman, Jacopo Squillaci, Barbara Carminati, Elena Ferrari, and Sarunas Girdzijauskas, Beat the DIVa-Decentralized Identity Validation for Online Social Networks, IEEE International Conference on Data Engineering (ICDE)

• Naeimeh Laleh, Barbara Carminati, Elena Ferrari, and Sarunas Girdzijauskas, Gossip-Based Behavioral Group Identification in Decentralized OSNs, International Conference on Machine Learning and Data Mining in Pattern Recognition

• Navaneeth Rameshan, Robert Birke, Leandro Navarro, Vladimir Vlassov, Bhuvan Urgaonkar, George Kesidis, Martin Schmatz, and Lydia Y Chen, Profiling Memory Vulnerability of Big-Data Applications, IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W)

• Navaneeth Rameshan, Ying Liu, Leandro Navarro, and Vladimir Vlassov, Augmenting Elasticity Controllers for Improved Accuracy, IEEE International Conference on Autonomic Computing (ICAC)

• Navaneeth Rameshan, Ying Liu, Leandro Navarro, and Vladimir Vlassov, Elastic Scaling in the Cloud: A Multi-Tenant Perspective, IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW)

• Navaneeth Rameshan, Ying Liu, Leandro Navarro, and Vladimir Vlassov, Hubbub-Scale: Towards Reliable Elastic Scaling under Multi-Tenancy, IEEE/ACM International Symposium on Cluster, Cloud and Grid (CCGRID)

• Niklas Ekström, and Seif Haridi, A Fault-Tolerant Sequentially Consistent DSM with a Compositional Correctness Proof, International Conference on Networked Systems

• Paris Carbone, Jonas Traub, Asterios Katsifodimos, Seif Haridi, and Volker Markl, Cutty: Aggregate Sharing for User-Defined Windows, ACM International Conference on Information and Knowledge Management (CIKM)

• Roger Baig, Felix Freitag, Agusti Moll, Leandro Navarro, Roger Pueyo, and Vladimir Vlassov, Cloud-Based Community Services in Community Networks, International Conference on Computing, Networking and Communications (ICNC)

• Roberto Castañeda Lozano, Mats Carlsson, Gabriel Hjort Blindell, and Christian Schulte, Register Allocation and Instruction Scheduling in Unison, International Conference on Compiler Construction

• Ruma R Paul, Peter Van Roy, and Vladimir Vlassov, Reversible Phase Transitions in a Structured Overlay Network with Churn, International Conference on Networked Systems

• Ying Liu, Qinjin Wang, and Vladimir Vlassov, Catenae: Low Latency Transactions across Multiple Data Centers, IEEE International Conference on Parallel and Distributed Systems (ICPADS)

2015

• Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, and Eduard Ayguade, How Data Volume Affects Spark Based Data Analytics on a Scale-Up Server, BPOE

• Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, and Eduard Ayguade, Performance Characterization of In-Memory Data Analytics on a Modern Cloud Server, IEEE International Conference on Big Data and Cloud Computing [Best Paper Award]

• Ali Gholami, Jim Dowling, and Erwin Laure, A Security Framework for Population-Scale Genomics Analysis, International Conference on High Performance Computing & Simulation (HPCS)

• Ali Gholami, Erwin Laure, Peter Somogyi, Ola Spjuth, Salman Niazi, and Jim Dowling, Privacy-Preservation for Publishing Sample Availability Data With Personal Identifiers, Journal of Medical and Bioengineering (JOMB)

• Amira Soliman, Leila Bahri, Barbara Carminati, Elena Ferrari, and Sarunas Girdzijauskas, Diva: Decentralized Identity Validation for Social Networks, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

• Alysson Bessani, Jörgen Brandt, Marc Bux, Vinicius Cogo, Lora Dimitrova, Jim Dowling, Ali Gholami, Kamal Hakimzadeh, Micheal Hummel, Mahmoud Ismail, Erwin Laure, Ulf Leser, Jan-Eric Litton, Roxanna Martinez, Salman Niazi, Jane Reichel, and Karin Zimmermann, BiobankCloud: a Platform for the Secure Storage, Sharing, and Processing of Large Biomedical Data Sets, International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH)

• Fatemeh Rahimian, Amir H. Payberah, Sarunas Girdzijauskas, Mark Jelasity, and Seif Haridi A Distributed Algorithm For Large-Scale Graph Partitioning, ACM Transactions on Autonomous and Adaptive Systems (TAAS)

• Gabriel Hjort Blindell, Roberto Castañeda Lozano, Mats Carlsson, and Christian Schulte, Modeling Universal Instruction Selection, International Conference on Principles and Practice of Constraint

• Hooman Peiro Sajjad, Fatemeh Rahimian, and Vladimir Vlassov, Smart Partitioning of Geo-Distributed Resources to Improve Cloud Network Performance, IEEE International Conference on Cloud Networking (CloudNet)

• Kambiz Ghoorchian, Fatemeh Rahimian, and Sarunas Girdzijauskas, Semi-Supervised Multiple Disambiguation, IEEE International Conference on Big Data Science and Engineering (BigDataSE)

• Ken Danniswara, Hooman Peiro Sajjad, Ahmad Al-Shishtawy, and Vladimir Vlassov, Stream Processing in Community Network Clouds, International Conference on Future Internet of Things and Cloud

• Marc Bux, Jörgen Brandt, Carsten Lipka, Kamal Hakimzadeh, Jim Dowling, and Ulf Leser, SAASFEE: Scalable Scientific Workflow Execution Engine, VLDB Endowment

• Marianela García Lozano, Ulrik Franke, Magnus Rosell, and Vladimir Vlassov, Towards Automatic Veracity Assessment of Open Source Information, IEEE International Congress on Big Data

• Muhammad Anis Uddin Nasir, Sarunas Girdzijauskas, and Nicolas Kourtellis, Socially-Aware Distributed Hash Tables for Decentralized Online Social Networks, IEEE International Conference on Peer-to-Peer Computing (P2P)

• Paris Carbone, Gyula Fóra, Stephan Ewen, Seif Haridi, and Kostas Tzoumas, Lightweight Asynchronous Snapshots for Distributed Dataflows, arXiv

• Paris Carbone, Stephan Ewen, Seif Haridi, Asterios Katsifodimos, Volker Markl, and Kostas Tzoumas, Apache Flink™: Stream and Batch Processing in a Single Engine, IEEE Computer Society Technical Committee on Data Engineering

• Paris Carbone, and Vladimir Vlassov, Auto-Scoring of Personalised News in the Real-Time Web: Challenges, Overview and Evaluation of the State-of-the-Art Solutions, International Conference on Cloud and Autonomic Computing

• Roberto Roverso, Riccardo Reale, Sameh El-Ansary, Seif Haridi, SmoothCache 2.0: CDN-quality Adaptive HTTP Live Streaming on Peer-to-Peer Overlays, ACM Multimedia Systems Conference (MMSys)

• Roger Baig, Felix Freitag, Agusti Moll, Leandro Navarro, Roger Pueyo, and Vladimir Vlassov, Community Network Clouds as a Case for the IEEE Intercloud Standardization, IEEE Conference on Standards for Communications and Networking (CSCN)

• Roger Baig, Felix Freitag, Amin M Khan, Agusti Moll, Leandro Navarro, Roger Pueyo, and Vladimir Vlassov, Community Clouds at the Edge Deployed in Guifi.net, IEEE International Conference on Cloud Networking (CloudNet)

• Roger Baig, Felix Freitag, Agusti Moll, Leandro Navarro, Roger Pueyo, and Vladimir Vlassov, Experiences in Building Micro-Cloud Provider Federation in the Guifi Community Network, International Conference on Utility and Cloud Computing

• Roger Baig, Rodrigo Carbajales, Pau Escrich, Jorge Florit, Felix Freitag, Agusti Moll, Leandro Navarro, Ermanno Pietrosemoli, Roger Pueyo, Mennan Selimi, Vladimir Vlassov, and Marco Zennaro, The Cloudy Distribution in Community Network Clouds in Guifi.net, IFIP/IEEE International Symposium on Integrated Network Management (IM)

• Roger Baig, Jim Dowling, Pau Escrich, Felix Freitag, Roc Meseguer, Agusti Moll, Leandro Navarro, Ermanno Pietrosemoli, Roger Pueyo, Vladimir Vlassov, and Marco Zennaro, Deploying Clouds in the Guifi Community Network, IFIP/IEEE International Symposium on Integrated Network Management (IM)

• Ruma R Paul, Peter Van Roy, and Vladimir Vlassov, Interaction Between Network Partitioning and Churn in a Self-Healing Structured Overlay Network, IEEE International Conference on Parallel and Distributed Systems (ICPADS)

• Salman Niazi, Mahmoud Ismail, Gautier Berthou, and Jim Dowling, Leader Election Using NewSQL Database Systems, IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS)

• Vamis Xhagjika, Leandro Navarro, and Vladimir Vlassov, Enhancing Real-Time Applications by Means of Multi-Tier Cloud Federations, IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

• Vasiliki Kalavri, Jeremy Blackburn, Matteo Varvello, Konstantina Papagiannak, Like a Pack of Wolves: Community Structure of Web Trackers, Passive and Active Measurements Conference (PAM)

• Ying Liu, Navaneeth Rameshan, Enric Monte, Vladimir Vlassov, and Leandro Navarro, ProRenaTa: Proactive and Reactive Tuning to Scale a Distributed Storage System, IEEE/ACM International Symposium on Cluster, Cloud and Grid (CCGRID)

2014

• Artur Podobas, Mats Brorsson, Vladimir Vlassov, Chi Chi Ching, and Ben Juurlink, Considering Quality-of-Service for Resource Reduction using OpenMP, Programmability Issues for Heterogeneous Multicores

• Artur Podobas, Mats Brorsson, and Vladimir Vlassov, TurboBŁYSK: Scheduling for Improved Data-Driven Task Performance with Fast Dependency Resolution, International Workshop on OpenMP (IWOMP) [Best Paper Award]

• Fatemeh Rahimian, Amir H. Payberah, Sarunas Girdzijauskas, and Seif Haridi, Distributed Vertex-Cut Partitioning, IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS)

• Fatemeh Rahimian, Sarunas Girdzijauskas, and Seif Haridi, Parallel Community Detection For Cross-Document Coreference, IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WIC)

• Kamal Hakimzadeh, Hooman Peiro Sajjad, Jim Dowling, Scaling HDFS with a Strongly Consistent Relational Model for Metadata, IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS)

• Mansour Khelghatdoust, and Sarunas Girdzijauskas, Short: Gossip-Based Sampling in Social Overlays, International Conference on Networked Systems

• Mina Sedaghat, Francisco Hernández-Rodriguez, Erik Elmroth, and Sarunas Girdzijauskas, Divide the Task, Multiply the Outcome: Cooperative VM Consolidation, IEEE International Conference on Cloud Computing Technology and Science

• Muhammad Anis Uddin Nasir, Fatemeh Rahimian, and Sarunas Girdzijauskas, Gossip-based Partitioning and Replication for Online Social Networks, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

• Navaneeth Rameshan, Leandro Navarro, Enric Monte, and Vladimir Vlassov, Stay-Away, Protecting Sensitive Applications from Performance Interference, International Middleware Conference (MIDDLEWARE)

• Roberto Castaneda Lozano, and Christian Schulte, Survey on Combinatorial Register Allocation and Instruction Scheduling, arXiv

• Roberto Castañeda Lozano, Mats Carlsson, Gabriel Hjort Blindell, and Christian Schulte, Combinatorial Spill Code Optimization and Ultimate Coalescing, ACM SIGPLAN Notices

• Ruma R Paul, Peter Van Roy, and Vladimir Vlassov, An Empirical Study of the Global Behavior of a Structured Overlay Network, IEEE International Conference on Peer-to-Peer Computing (P2P)

• Vamis Xhagjika, Vladimir Vlassov, Magnus Molin, and Simona Toma, Structured Cloud Federation for Carrier and ISP Infrastructure, IEEE International Conference on Cloud Networking (CloudNet)

• Vasiliki Kalavri, Stephan Ewen, Kostas Tzoumas, Vladimir Vlassov, Volker Markl, and Seif Haridi, Asymmetry in Large-Scale Graph Analysis, Explained, Workshop on GRAph Data management Experiences and Systems

• Ying Liu, Xiaxi Li, and Vladimir Vlassov, GlobLease: A Globally Consistent and Elastic Storage System Using Leases, IEEE International Conference on Parallel and Distributed Systems (ICPADS)

• Ying Liu, Vamis Xhagjika, Vladimir Vlassov, and Ahmad Al Shishtawy, BwMan: Bandwidth Manager for Elastic Services in the Cloud, IEEE International Symposium on Parallel and Distributed Processing with Application

• Ying Liu, Vladimir Vlassov, and Leandro Navarro, Towards a Community Cloud Storage, IEEE International Conference on Advanced Information Networking and Applications

2013

• Ahmad Al-Shishtawy, Vladimir Vlassov, ElastMan: Elasticity Manager for Elastic Key-Value Stores in the Cloud, ACM Cloud and Autonomic Computing Conference (CAC)

• Ahmad Al-Shishtawy, Vladimir Vlassov, ElastMan: Autonomic Elasticity Manager for Cloud-Based Key-value Stores, ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC)

• Amir H. Payberah, Hanna Kavalionak, Alberto Montresor, Jim Dowling, and Seif Haridi, Lightweight Gossip-based Distribution Estimation, IEEE International Conference on Communications (ICC)

• Christian Schulte, and Guido Tack, View-Based Propagator Derivation, Constraints

• Fatemeh Rahimian, Amir H. Payberah, Sarunas Girdzijauskas, Mark Jelasity, and Seif Haridi, Ja-Be-Ja: A Distributed Algorithm for Balanced Graph Partitioning, IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO) [Best Paper Award]

• Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, and Ion Stoica, Effective Straggler Mitigation: Attack of the Clones, USENIX Symposium on Networked Systems Design and Implementation (NSDI)

• Manuel Loth, Michele Sebag, Youssef Hamadi, Marc Schoenauer, and Christian Schulte, Hybridizing Constraint Programming and Monte-Carlo Tree Search: Application to the Job Shop Problem, International Conference on Learning and Intelligent Optimization

• Peter Bailis, Ali Ghodsi, Joseph Hellerstein, and Ion Stoica, Bolt-on Causal Consistency, ACM Special Interest Group on Management Of Data (SIGMOD)

• Peter Bailis, Alan Fekete, Ali Ghodsi, Joseph M. Hellerstein, and Ion Stoica, HAT, not CAP: Towards Highly Available Transactions, USENIX conference on Hot Topics in Operating Systems (HotOS)

• Raul Jimenez, Gunnar Kreitz, Björn Knutsson, Marcus Isaksson, and Seif Haridi, Integrating Smartphones in Spotify’s Peer-Assisted Music Streaming Service

• Roberto Castañeda Lozano, Gabriel Hjort Blindell, Mats Carlsson, Frej Drejhammar, and Christian Schulte, Constraint-Based Code Generation, International Workshop on Software and Compilers for Embedded Systems

• Roberto Roverso, Sameh El-Ansary and Mikael Hoeqvist, On HTTP Live Streaming in Large Enterprises, ACM International Conference of the Special Interest Group on Data Communication (SIGCOMM)

• Roberto Roverso, Jim Dowling and Mark Jelasity, Through the Wormhole: Low Cost, Fresh Peer Sampling for the Internet, IEEE International Conference on Peer-to-Peer Computing (P2P)

• Seyed Kaveh Fayazbakhsh, Yin Lin, Amin Tootoonchian, Ali Ghodsi, Teemu Koponen, Bruce M. Maggs, K. C. Ng, Vyas Sekar, and Scott Shenker, Less Pain, Most of the Gain: Incrementally Deployable ICN, ACM Special Interest Group on Data Communication (SIGCOMM)

• Vasiliki Kalavri, Hui Shang, Vladimir Vlassov, m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data, IEEE International Conference on Big Data Science and Engineering (BDSE)

• Vasiliki Kalavri, Vladimir Vlassov, Per Brand, PonIC: Using Stratosphere to Speed Up Pig Analytics, International European Conference on Parallel and Distributed Computing (EuroPar)

• Vasiliki Kalavri, Vladimir Vlassov, MapReduce: Limitations, Optimizations and Open Issues, IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA)

• Vasiliki Kalavri, Vaidas Brundza, Vladimir Vlassov, Block Sampling: Efficient Accurate Online Aggregation in MapReduce, IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

2012

• Ala Arman, Ahmad Al-Shishtawy, and Vladimir Vlassov, Elasticity Controller for Cloud-Based Key-Value Stores, IEEE International Conference on Parallel and Distributed Systems (ICPADS)

• Ali Ghodsi, Vyas Sekar, Matei Zaharia, and Ion Stoica, Multi-Resource Fair Queueing for Packet Processing, ACM Special Interest Group on Data Communication (SIGCOMM) [Best Paper Award]

• Amir H. Payberah, Hanna Kavalionak, Vimalkumar Kumaresan, Alberto Montresor, and Seif Haridi, CLive: Cloud-Assisted P2P Live Streaming, IEEE International Conference on Peer-to-Peer Computing (P2P)

• Amir H. Payberah, Jim Dowling, Fatemeh Rahimian and Seif Haridi, Distributed Optimization of P2P Live Streaming Overlays, Springer Computing, Special Issue on Extreme Distributed Systems: From Large Scale to Complexity

• Amir Moulavi, Ahmad Al-Shishtawy, and Vladimir Vlassov, State-Space Feedback Control for Elastic Distributed Storage in a Cloud Environment, International Conference on Autonomic and Autonomous Systems (ICAS) [Best Paper Award]

• Ananya Muddukrishna, Artur Podobas, Mats Brorsson, and Vladimir Vlassov, Task Scheduling on Manycore Processors with Home Caches, European Conference on Parallel Processing [Best Paper Award]

• Artur Podobas, Mats Brorsson, and Vladimir Vlassov, Exploring Heterogeneous Scheduling Using the Task-Centric Programming Model, European Conference on Parallel Processing

• Cosmin Arad, Jim Dowling, and Seif Haridi, Message-Passing Concurrency for Scalable, Stateful, Reconfigurable Middleware, International Middleware Conference (MIDDLEWARE)

• Cosmin Arad, Tallat M. Shafaat, and Seif Haridi, Atomic Consistency and Partition Tolerance in Scalable Key-Value Stores (Brief Announcement), International Symposium on Distributed Computing (DISC)

• Fatemeh Rahimian, Sarunas Girdzijauskas, Amir H. Payberah and Seif Haridi, Subscription Awareness Meets Rendezvous Routing, IARIA International Conference on Advances in P2P Systems (AP2PS)

• Fatemeh Rahimian, Thinh Le Nguyen Le, Sarunas Girdzijauskas, Locality Awareness in a Peer-to-Peer Publish/Subscribe System, IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS)

• Imran Mahmood, Rassul Ayani, Vladimir Vlassov, and Farshad Moradi, Verifying Dynamic Semantic Composability of BOM-Based Composed Models using Colored Petri Nets, ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation

• Jim Dowling and Amir H. Payberah, Shuffling with a Croupier: Nat-Aware Peer-Sampling, IEEE International Conference on Distributed Computing Systems (ICDCS)

• Peter Bailis, Alan Fekete, Ali Ghodsi, Joseph M. Hellerstein, and Ion Stoica, The Potential Dangers of Causal Consistency and an Explicit Solution, ACM Symposium on Cloud Computing (SoCC)

• Riccardo Reale, Roberto Roverso, Sameh El-Ansary and Seif Haridi, DTL: Dynamic Transport Library for Peer-To-Peer Applications, International Conference On Distributed Computing And Networking (ICDCN)

• Roberto Castañeda Lozano, Mats Carlsson, Frej Drejhammar, and Christian Schulte, Constraint-Based Register Allocation and Instruction Scheduling, International Conference on Principles and Practice of Constraint

• Roberto Roverso, Sameh El-Ansary and Seif Haridi, Peer2View: a Peer-To-Peer HTTP-Live Streaming platform, IEEE International Conference on Peer-to-Peer Computing (P2P)

• Roberto Roverso, Sameh El-Ansary and Seif Haridi, SmoothCache: HTTP-Live Streaming Goes Peer-To-Peer, IFIP International Conferences on Networking Networking (Networking)

• Tallat M. Shafaat, Ali Ghodsi, and Seif Haridi, Dealing with Bootstrapping, Maintenance, and Network Partitions and Mergers in Structured Overlay Networks, IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO)

• Tallat M. Shafaat, Bilal Ahmad, and Seif Haridi, ID-Replication for Structured Peer-to-Peer Systems, International European Conference on Parallel and Distributed Computing (EuroPar)

• Vladimir Vlassov, Ahmad Al-Shishtawy, Per Brand, and N. Parlavantzas, Niche: A platform for self-managing distributed applications, Formal and Practical Aspects of Autonomic Computing and Networking: Specification, Development, and Verification, IGI Global

• Vladimir Vlassov, Mattin Addibpour, and Enn Tyugu, Nuts: A Distributed Object-Oriented Platform with High Level Communication Functions, Computing and Informatics

• Vladimir Vlassov, and Sint Maarten, Autonomic Control for Cloud-Based Services and Applications, International Conference on Autonomic and Autonomous Systems (ICAS)

2011

• Ahmad Al-Shishtawy, Tareq Jamal Khan, and Vladimir Vlassov, Robust Fault-Tolerant Majority-Based Key-Value Store Supporting Multiple Consistency Levels, IEEE International Conference on Parallel and Distributed Systems (ICPADS)

• Alexandros Gkogkas, Roberto Roverso, and Seif Haridi, Accurate and Efficient Simulation of Bandwidth Dynamics for Peer-To-Peer Overlay Networks, ICST/ACM International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS)

• Amir H. Payberah, Jim Dowling and Seif Haridi, GLive: The Gradient Overlay as a Market Maker for Mesh-Based P2P Live Streaming, IEEE International Symposium on Parallel and Distributed Computing (ISPDC)

• Amir H. Payberah, Jim Dowling and Seif Haridi, Gozar: NAT-friendly Peer Sampling with One-Hop Distributed NAT Traversal, IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS)

• Ananya Muddukrishna, Mats Brorsson, and Vladimir Vlassov, A Locality Approach to Architecture-Aware Task-Scheduling in OpenMP, Swedish Workshop on Multicore Computing (MCC)

• Fatemeh Rahimian, Sarunas Girdzijauskas, Amir H. Payberah and Seif Haridi, Vitis: A Gossip-based Hybrid Overlay for Internet-scale Publish/Subscribe, IEEE International Parallel & Distributed Processing Symposium (IPDPS)

• Imran Mahmood, Rassul Ayani, Vladimir Vlassov, and Farshad Moradi, Fairness Verification of BOM-based Composed Models using Petri Nets, IEEE Workshop on Principles of Advanced and Distributed Simulation

• Irfan Younas, Farzad Kamrani, Christian Schulte, and Rassul Ayani, Optimization of Task Assignment to Collaborating Agents, IEEE Symposium on Computational Intelligence in Scheduling (SCIS)

• Roberto Roverso, Amgad Naiem, Mohammed Reda, Mohammed El-Beltagy, Sameh El-Ansary, Nils Franzen and Seif Haridi, On The Feasibility Of Centrally-Coordinated Peer-To-Peer Live Streaming IEEE International Conference on Consumer Communications and Networking Conference (CCNC)

• Roberto Roverso, Sameh El-Ansary, Alexandros Gkogkas, and Seif Haridi, Mesmerizer: A Effective Tool for a Complete Peer-to-Peer Software Development Life-Cycle, ICST/IEEE International Conference on Simulation Tools and Techniques (SIMUTOOLS)

• Vladimir Vlassov, Ahmad Al-Shishtawy, Per Brand, and Nikos Parlavantzas, Self-Management with Niche, a Platform for Self-Managing Distributed Applications, Formal and Practical Aspects of Autonomic Computing and Networking