Publications

[Extracted from DiVA, the publication database at KTH.]

Hagos, D.; Kakantousis, T.; Sheikholeslami, S.; Wang, T.; Vlassov, V.; Payberah, A.; Meister, M.; Andersson, R.; Dowling, J. (2022):
Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks.
Remote Sensing 14: [Details]
Imtiaz, S.; Matthies, P.; Pinto, F.; Maros, M.; Wenz, H.; Sadre, R.; Vlassov, V. (2021):
PyDPLib - Python Differential Privacy Library for Private Medical Data Analytics.
[Conference paper] 2021 IEEE International Conference on Digital Health, ICDH 2021, Virtual, Online, 5-11 September 2021.; Proceedings - 2021 IEEE International Conference on Digital Health, ICDH 2021 191-196 [Details]
Imtiaz, S.; Tania, Z.; Chaudhry, H.; Arsalan, M.; Sadre, R.; Vlassov, V. (2021):
Machine Learning with Reconfigurable Privacy on Resource-Limited Computing Devices.
[Conference paper] New York, 30 September 2021 through 3 October 2021; 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021 1592-1602 [Details]
Gureya, D.; Vlassov, V.; Barreto, J. (2021):
Brief announcement - BALM: qos-aware memory bandwidth partitioning for multi-socket cloud nodes.
[Conference paper] 33rd ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2021, 6 July 2021-8 July 2021, Virtual Event, USA; Annual ACM Symposium on Parallelism in Algorithms and Architectures 435-438 [Details]
Gureya, D.; Barreto, J.; Vlassov, V. (2021):
Generalizing QoS-Aware Memory Bandwidth Allocation to Multi-Socket Cloud Servers.
[Conference paper] IEEE 14th International Conference on Cloud Computing (CLOUD), SEP 05-10, 2021, ELECTR NETWORK, Chicago, IL, USA; 2021 Ieee 14Th International Conference On Cloud Computing (Cloud 2021) 551-557 [Details]
Imtiaz, S.; Arsalan, M.; Vlassov, V.; Sadre, R. (2021):
Synthetic and Private Smart Health Care Data Generation using GANs.
[Conference paper] 30th International Conference on Computer Communications and Networks (ICCCN), JUL 19-22, 2021, ELECTR NETWORK; 30th International Conference on Computer Communications and Networks (ICCCN 2021) [Details]
Hagos, D.; Kakantousis, T.; Vlassov, V.; Sheikholeslami, S.; Wang, T.; Dowling, J.; Paris, C.; Marinelli, D.; Weikmann, G.; Bruzzone, L.; Khaleghian, S.; Kraemer, T.; Eltoft, T.; Marinoni, A.; Pantazi, D.; Stamoulis, G.; Bilidas, D.; Papadakis, G.; Mandilaras, G.; Koubarakis, M.; Troumpoukis, A.; Konstantopoulos, S.; Muerth, M.; Appel, F.; Fleming, A.; Cziferszky, A. (2021):
ExtremeEarth Meets Satellite Data From Space.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14: 9038-9063 [Details]
Sheikholeslami, S.; Meister, M.; Wang, T.; Payberah, A.; Vlassov, V.; Dowling, J. (2021):
AutoAblation: Automated Parallel Ablation Studies for Deep Learning.
[Conference paper] The 1st Workshop on Machine Learning and Systems (EuroMLSys '21); EuroMLSys '21: Proceedings of the 1st Workshop on Machine Learning and Systems 55-61 [Details]
Asratyan, A.; Sheikholeslami, S.; Vlassov, V. (2021):
A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation.
[Conference paper] 2021 IEEE International Conference on Big Data (Big Data), 15-18 December, Virtual; 2021 IEEE International Conference on Big Data (Big Data) 306-314 [Details]
Fedeli, S.; Schain, F.; Imtiaz, S.; Abbas, Z.; Vlassov, V. (2021):
Privacy Preserving Survival Prediction.
[Conference paper] 9th IEEE International Conference on Big Data (IEEE BigData), 15-18 December, 2021, Virtual; 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) 4600-4608 [Details]
Montesi, D.; Girdzijauskas, S.; Vlassov, V. (2020):
Repeating Link Prediction over Dynamic Graphs.
[Conference paper] 2020 IEEE International Conference on Big Data (Big Data); 2020 IEEE International Conference on Big Data (Big Data) 4420-4428 [Details]
Imtiaz, S.; Horchidan, S.; Abbas, Z.; Arsalan, M.; Chaudhry, H.; Vlassov, V. (2020):
Privacy Preserving Time-Series Forecasting of User Health Data Streams.
[Conference paper] 2020 IEEE International Conference on Big Data (Big Data); 2020 IEEE International Conference on Big Data (Big Data) 3428-3437 [Details]
Wang, T.; Payberah, A.; Vlassov, V. (2020):
CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems.
[Conference paper] 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA); 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA) 1483-1490 [Details]
Meister, M.; Sheikholeslami, S.; Payberah, A.; Vlassov, V.; Dowling, J. (2020):
Maggy - Scalable Asynchronous Parallel Hyperparameter Search.
[Conference paper] The 1st Workshop on Distributed Machine Learning (DistributedML'20); Proceedings of the 1st Workshop on Distributed Machine Learning 28-33 [Details]
Dhariwal, S.; Liu, Y.; Vlassov, V. (2020):
Clothing Classification using Unsupervised Pre-Training.
[Conference paper] 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA); 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA) 82-89 [Details]
Gureya, D.; Neto, J.; Karimi, R.; Barreto, J.; Bhatotia, P.; Quema, V.; Rodrigues, R.; Romano, P.; Vlassov, V. (2020):
Bandwidth-Aware Page Placement in NUMA.
[Conference paper] 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS); 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS) 546-556 [Details]
Garcia Lozano, M.; Brynielsson, J.; Franke, U.; Rosell, M.; Tjörnhammar, E.; Varga, S.; Vlassov, V. (2020):
Veracity assessment of online data.
Decision Support Systems 129: [Details]
Parashar, M.; Vlassov, V. (2020):
General Chairs' Welcome.
[Conference paper] 29th International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2020, Stockholm, Sweden, 23-26 June 2020; HPDC 2020 II-IV [Details]
Imtiaz, S.; Sadre, R.; Vlassov, V. (2019):
On the case of privacy in the iot ecosystem - a survey.
[Conference paper] 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), iThings/GreenCom/CPSCom/SmartData 2019, Atlanta, GA, USA, July 14-17, 2019; Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019 1015-1024 [Details]
Abbas, Z.; Ivarsson, J.; Al-Shishtawy, A.; Vlassov, V. (2019):
Scaling Deep Learning Models for Large Spatial Time-Series Forecasting -
.
[Conference paper] 2019 IEEE International Conference on Big Data, Big Data 2019, 9 December 2019 through 12 December 2019; Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019 1587-1594 [Details]
Trunfio, P.; Vlassov, V. (2019):
Clouds for scalable Big Data processing.
International Journal of Parallel, Emergent and Distributed Systems 34: 629-631 [Details]
Koubarakis, M.; Bereta, K.; Bilidas, D.; Giannousis, K.; Ioannidis, T.; Pantazi, D.; Stamoulis, G.; Haridi, S.; Vlassov, V.; Bruzzone, L.; Paris, C.; Eltoft, T.; Krämer, T.; Charalabidis, A.; Karkaletsis, V.; Konstantopoulos, S.; Dowling, J.; Kakantousis, T.; Datcu, M.; Dumitru, C.; Appel, F.; Bach, H.; Migdall, S.; Hughes, N.; Arthurs, D.; Fleming, A. (2019):
From copernicus big data to extreme earth analytics.
[Conference paper] 22nd International Conference on Extending Database Technology, EDBT 2019; Lisbon; Portugal; 26 March 2019 through 29 March 2019; Advances in Database Technology - EDBT 690-693 [Details]
Lin, X.; Buyya, R.; Yang, L.; Tari, Z.; Choo, K.; Vlassov, V.; Yao, L.; Yin, H.; Wang, W. (2019):
Message from the BDCloud 2018 Chairs.
[Conference paper] 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018, Melbourne, Australia, 11-13 December 2018; Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018 XXIX-XXX [Details]
Khan, A.; Freitag, F.; Vlassov, V.; Ha, P. (2018):
Demo Abstract - Towards IoT Service Deployments on Edge Community Network Microclouds.
[Conference paper] IEEE Conference on Computer Communications (IEEE INFOCOM), APR 15-19, 2018, Honolulu, HI; IEEE INFOCOM 2018 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS) [Details]
Abbas, Z.; Sigurdsson, T.; Al-Shishtawy, A.; Vlassov, V. (2018):
Evaluation of the Use of Streaming Graph Processing Algorithms for Road Congestion Detection.
[Conference paper] 16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom, DEC 11-13, 2018, Melbourne, AUSTRALIA; 2018 IEEE INT CONF ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, UBIQUITOUS COMPUTING & COMMUNICATIONS, BIG DATA & CLOUD COMPUTING, SOCIAL COMPUTING & NETWORKING, SUSTAINABLE COMPUTING & COMMUNICATIONS 1017-1025 [Details]
Sozinov, K.; Vlassov, V.; Girdzijauskas, S. (2018):
Human Activity Recognition Using Federated Learning.
[Conference paper] 16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom, DEC 11-13, 2018, Melbourne, AUSTRALIA; 2018 IEEE INT CONF ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, UBIQUITOUS COMPUTING & COMMUNICATIONS, BIG DATA & CLOUD COMPUTING, SOCIAL COMPUTING & NETWORKING, SUSTAINABLE COMPUTING & COMMUNICATIONS 1103-1111 [Details]
Abbas, Z.; Kalavri, V.; Carbone, P.; Vlassov, V. (2018):
Streaming Graph Partitioning: An Experimental Study.
Proceedings of the VLDB Endowment 11: 1590-1603 [Details]
Abbas, Z.; Al-Shishtawy, A.; Girdzijauskas, S.; Vlassov, V. (2018):
Short-Term Traffic Prediction Using Long Short-Term Memory Neural Networks.
[Conference paper] 2018 IEEE International Congress on Big Data (BigData Congress); 57-65 [Details]
Peiro Sajjad, H.; Liu, Y.; Vlassov, V. (2018):
Optimizing Windowed Aggregation over Geo-Distributed Data Streams.
[Conference paper] 2018 IEEE International Conference on Edge Computing (EDGE)San Francisco, CA, USA; 2018 IEEE International Conference on Edge Computing (EDGE) 33-41 [Details]
Kalavri, V.; Vlassov, V.; Haridi, S. (2018):
High-Level Programming Abstractions for Distributed Graph Processing.
IEEE Transactions on Knowledge and Data Engineering 30: 305-324 [Details]
Xhagjika, V.; Escoda, O.; Navarro, L.; Vlassov, V. (2017):
Load and video performance patterns of a cloud based WebRTC Architecture.
[Conference paper] 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017, 14 May 2017 through 17 May 2017; Proceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017 739-744 [Details]
Paul, R.; Melchior, J.; Roy, P.; Vlassov, V. (2017):
Designing Distributed Applications Using a Phase-Aware, Reversible System.
[Conference paper] 1st IEEE International Conference on Edge Computing, EDGE 2017, Honolulu, United States, 25 June 2017 through 30 June 2017; Proceedings - 2017 IEEE 1st International Conference on Edge Computing, EDGE 2017 55-64 [Details]
Liu, Y.; Gureya, D.; Al-Shishtawy, A.; Vlassov, V. (2017):
OnlineElastMan - self-trained proactive elasticity manager for cloud-based storage services.
Cluster Computing 20: 1977-1994 [Details]
Liu, Y.; Guan, X.; Vlassov, V.; Haridi, S. (2017):
MeteorShower - Minimizing Request Latency for Majority Quorum-Based Data Consistency Algorithms in Multiple Data Centers.
[Conference paper] 37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017, J.W. Marriott Hotel, Atlanta, United States, 5 June 2017 through 8 June 2017; 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) 57-67 [Details]
Apolonia, N.; Freitag, F.; Navarro, L.; Girdzijauskas, S.; Vlassov, V. (2017):
Gossip-based service monitoring platform for wireless edge cloud computing.
[Conference paper] IEEE 14th International Conference on Networking, Sensing and Control (ICNSC), Calabria, Italy, 16-18 May, 2017; Proceedings IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) [Details]
Xhagjika, V.; Divorra Escoda, O.; Navarro, L.; Vlassov, V. (2017):
Media Streams Allocation and Load Patterns for a WebRTC Cloud Architecture.
[Conference paper] 8th International Conference on the Network of the Future (NOF), NOV 22-24, 2017, London, ENGLAND; PROCEEDINGS OF THE 2017 8TH INTERNATIONAL CONFERENCE ON THE NETWORK OF THE FUTURE (NOF) 14-21 [Details]
Javed Awan, A.; Ohara, M.; Ayguade, E.; Ishizaki, K.; Brorsson, M.; Vlassov, V. (2017):
Identifying the potential of Near Data Processing for Apache Spark.
[Conference paper] Proceedings of the International Symposium on Memory Systems, MEMSYS 2017, Alexandria, VA, USA, October 02 - 05, 2017; Proceedings of the International Symposium on Memory Systems, MEMSYS 2017 60-67 [Details]
Vlassov, V.; Bohn, R. (2017):
Message from the ICCAC 2017 Program Chairs.
[Conference paper] 4th IEEE International Conference on Cloud and Autonomic Computing, ICCAC 2017, 18-22 September 2017; Proceedings - 2017 IEEE International Conference on Cloud and Autonomic Computing, ICCAC 2017 [Details]
Paul, R.; Van Roy, P.; Vlassov, V. (2016):
Reversible Phase Transitions in a Structured Overlay Network with Churn.
[Conference paper] The International Conference on Networked Systems; 4th International Conference on Networked Systems (NETYS), May 18-20, 2016 [Details]
Peiro Sajjad, H.; Payberah, A.; Rahimian, F.; Vlassov, V.; Haridi, S. (2016):
Boosting Vertex-Cut Partitioning For Streaming Graphs.
[Conference paper] 5th 2016 IEEE International Congress on Big Data (BigData Congress 2016); Big Data (BigData Congress), 2016 IEEE International Congress on 1-8 [Details]
Baig, R.; Freitag, F.; Moll, A.; Navarro, L.; Pueyo, R.; Vlassov, V. (2016):
Cloud-based community services in community networks.
[Conference paper] International Conference on Computing, Networking and Communications, ICNC 2016; Kauai; United States; 15 February 2016 through 18 February 2016; 2016 International Conference on Computing, Networking and Communications, ICNC 2016 1-5 [Details]
Rameshan, N.; Liu, Y.; Navarro, L.; Vlassov, V. (2016):
Hubbub-Scale: Towards Reliable Elastic Scaling under Multi-tenancy.
[Conference paper] 18 July 2016, Article number 7515693, Pages 233-24416th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2016; Cartagena; Colombia; 16 May 2016 through 19 May 2016; Proceedings - 2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2016 233-244 [Details]
Liu, Y.; Wang, Q.; Vlassov, V. (2016):
Catenae - Low Latency Transactions across Multiple Data Centers.
[Conference paper] 22nd IEEE International Conference on Parallel and Distributed Systems (ICPADS), DEC 13-16, 2016, Wuhan, PEOPLES R CHINA; 2016 IEEE 22ND INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS) 491-500 [Details]
Awan, A.; Brorsson, M.; Vlassov, V.; Ayguade, E. (2016):
Micro-architectural Characterization of Apache Spark on Batch and Stream Processing Workloads.
[Conference paper] The 6th IEEE International Conference on Big Data and Cloud Computing; 59-66 [Details]
Rameshan, N.; Liu, Y.; Navarro, L.; Vlassov, V. (2016):
Augmenting Elasticity Controllers for Improved Accuracy.
[Conference paper] 13th IEEE International Conference on Autonomic Computing (ICAC), JUL 17-22, 2016, Wurzburg, GERMANY; 2016 IEEE INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING (ICAC) 117-126 [Details]
Rameshan, N.; Liu, Y.; Navarro, L.; Vlassov, V. (2016):
Elastic Scaling in the Cloud - A Multi-Tenant Perspective.
[Conference paper] 36th IEEE International Conference on Distributed Computing Systems (ICDCS), JUN 27-30, 2016, Nara, JAPAN; 2016 IEEE 36TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS (ICDCSW 2016) 25-30 [Details]
Liu, Y.; Gureya, D.; Al-Shishtawy, A.; Vlassov, V. (2016):
OnlineElastMan - Self-Trained Proactive Elasticity Manager for Cloud-Based Storage Services.
[Conference paper] IEEE International Conference on Cloud and Autonomic Computing (ICCAC), SEP 12-16, 2016, Augsburg, GERMANY; 2016 INTERNATIONAL CONFERENCE ON CLOUD AND AUTONOMIC COMPUTING (ICCAC) 50-59 [Details]
Awan, A.; Brorsson, M.; Vlassov, V.; Ayguade, E. (2016):
Node architecture implications for in-memory data analytics on scale-in clusters.
[Conference paper] 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies; 237-246 [Details]
Rameshan, N.; Birke, R.; Navarro, L.; Vlassov, V.; Urgaonkar, B.; Kesidis, G.; Schmatz, M.; Chen, L. (2016):
Profiling Memory Vulnerability of Big-data Applications.
[Conference paper] 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), JUN 28-JUL 01, 2016, Toulouse, FRANCE; 2016 46TH ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS WORKSHOPS (DSN-W) 258-261 [Details]
Peiro Sajjad, H.; Danniswara, K.; Al-Shishtawy, A.; Vlassov, V. (2016):
SpanEdge: Towards Unifying Stream Processing over Central and Near-the-Edge Data Centers.
[Conference paper] The First IEEE/ACM Symposium on Edge Computing (SEC); [Details]

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