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ORCIDVladimir Vlassov
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2020 – today
- 2024
[j16]Ashish Rauniyar
, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård, Ulas Bagci, Danda B. Rawat, Vladimir Vlassov:
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. IEEE Internet Things J. 11(5): 7374-7398 (2024)- [c110]Javier de la Rúa Martínez, Fabio Buso, Antonios Kouzoupis, Alexandru A. Ormenisan, Salman Niazi, Davit Bzhalava, Kenneth Mak, Victor Jouffrey, Mikael Ronström, Raymond Cunningham, Ralfs Zangis, Dhananjay Mukhedkar, Ayushman Khazanchi, Vladimir Vlassov, Jim Dowling:
The Hopsworks Feature Store for Machine Learning. SIGMOD Conference Companion 2024: 135-147 - 2023
- [c109]Sina Sheikholeslami, Amir Hossein Payberah, Tianze Wang, Jim Dowling, Vladimir Vlassov:
The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks. DAIS 2023: 74-89 - [c108]Joseph Attieh, Abraham Woubie Zewoudie, Vladimir Vlassov, Adrian Flanagan, Tom Bäckström:
Optimizing the Performance of Text Classification Models by Improving the Isotropy of the Embeddings Using a Joint Loss Function. ICDAR (5) 2023: 121-136 - [c107]Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Ole André Solbakken, Amir Hossein Payberah, Vladimir Vlassov:
Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders. ICDH 2023: 150-157 - [c106]Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov:
Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization. ICMLA 2023: 488-495 - [i11]Guoyun Tu, Ying Liu, Vladimir Vlassov:
AIC-AB NET: A Neural Network for Image Captioning with Spatial Attention and Text Attributes. CoRR abs/2307.07370 (2023) - [i10]Gibson Chikafa, Sina Sheikholeslami, Salman Niazi, Jim Dowling, Vladimir Vlassov:
Cloud-native RStudio on Kubernetes for Hopsworks. CoRR abs/2307.09132 (2023) - [i9]Junhui Liang, Ying Liu, Vladimir Vlassov:
The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation. CoRR abs/2308.09764 (2023) - 2022
- [j15]Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, Tianze Wang, Vladimir Vlassov, Amir Hossein Payberah, Moritz Meister, Robin Andersson, Jim Dowling:
Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks. Remote. Sens. 14(8): 1889 (2022) - [c105]Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov:
Node Context Selection in Transformer-Based Graph Representation Learning Models. IEEE Big Data 2022: 4625-4634 - [c104]Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov:
Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement. DAIS 2022: 114-130 - [c103]Muhammad Arsalan, Davide Di Matteo, Sana Imtiaz, Zainab Abbas, Vladimir Vlassov, Vadim Issakov:
Energy-Efficient Privacy-Preserving Time-Series Forecasting on User Health Data Streams. TrustCom 2022: 541-546 - [i8]Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov:
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement. CoRR abs/2201.09676 (2022) - [i7]Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård, Ulas Bagci, Danda B. Rawat, Vladimir Vlassov:
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. CoRR abs/2208.03392 (2022) - 2021
- [j14]Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Claudia Paris, Daniele Marinelli, Giulio Weikmann, Lorenzo Bruzzone, Salman Khaleghian, Thomas Krämer, Torbjørn Eltoft, Andrea Marinoni, Despina-Athanasia Pantazi, George Stamoulis, Dimitris Bilidas, George Papadakis, Georgios M. Mandilaras, Manolis Koubarakis, Antonis Troumpoukis, Stasinos Konstantopoulos, Markus Muerth, Florian Appel, Andrew Fleming, Andreas Cziferszky:
ExtremeEarth Meets Satellite Data From Space. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9038-9063 (2021) - [c102]David Gureya, João Barreto, Vladimir Vlassov:
Generalizing QoS-Aware Memory Bandwidth Allocation to Multi-Socket Cloud Servers. CLOUD 2021: 551-557 - [c101]Albert Asratyan, Sina Sheikholeslami, Vladimir Vlassov:
A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation. IEEE BigData 2021: 306-314 - [c100]Stefano Fedeli, Frida Schain, Sana Imtiaz, Zainab Abbas, Vladimir Vlassov:
Privacy Preserving Survival Prediction. IEEE BigData 2021: 4600-4608 - [c99]Sina Sheikholeslami, Moritz Meister, Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov, Jim Dowling:
AutoAblation: Automated Parallel Ablation Studies for Deep Learning. EuroMLSys@EuroSys 2021: 55-61 - [c98]Sana Imtiaz, Muhammad Arsalan, Vladimir Vlassov, Ramin Sadre:
Synthetic and Private Smart Health Care Data Generation using GANs. ICCCN 2021: 1-7 - [c97]Sana Imtiaz, Philipp Matthies, Francisco Pinto, Máté E. Maros, Holger Wenz, Ramin Sadre, Vladimir Vlassov:
PyDPLib: Python Differential Privacy Library for Private Medical Data Analytics. ICDH 2021: 191-196 - [c96]Sana Imtiaz, Zannatun N. Tania, Hassan Nazeer Chaudhry, Muhammad Arsalan, Ramin Sadre, Vladimir Vlassov:
Machine Learning with Reconfigurable Privacy on Resource-Limited Computing Devices. ISPA/BDCloud/SocialCom/SustainCom 2021: 1592-1602 - [c95]David Gureya, Vladimir Vlassov, João Barreto:
BALM: QoS-Aware Memory Bandwidth Partitioning for Multi-Socket Cloud Nodes. SPAA 2021: 435-438 - 2020
- [j13]Marianela García Lozano, Joel Brynielsson, Ulrik Franke, Magnus Rosell, Edward Tjörnhammar, Stefan Varga, Vladimir Vlassov:
Veracity assessment of online data. Decis. Support Syst. 129 (2020) - [c94]Sana Imtiaz, Sonia-Florina Horchidan, Zainab Abbas, Muhammad Arsalan, Hassan Nazeer Chaudhry, Vladimir Vlassov:
Privacy Preserving Time-Series Forecasting of User Health Data Streams. IEEE BigData 2020: 3428-3437 - [c93]Daniele Montesi, Sarunas Girdzijauskas, Vladimir Vlassov:
Repeating Link Prediction over Dynamic Graphs. IEEE BigData 2020: 4420-4428 - [c92]Moritz Meister, Sina Sheikholeslami, Amir Hossein Payberah, Vladimir Vlassov, Jim Dowling:
Maggy: Scalable Asynchronous Parallel Hyperparameter Search. DistributedML@CoNEXT 2020: 28-33 - [c91]Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov:
CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems. ICMLA 2020: 1483-1490 - [c90]David Gureya, João Neto, Reza Karimi, João Barreto, Pramod Bhatotia, Vivien Quéma, Rodrigo Rodrigues, Paolo Romano, Vladimir Vlassov:
Bandwidth-Aware Page Placement in NUMA. IPDPS 2020: 546-556 - [c89]Andrea Nardelli, Vladimir Vlassov, Amir Hossein Payberah:
Framework-Agnostic Optimization of Repeated Skewed Joins at Massive Scale. ISPA/BDCloud/SocialCom/SustainCom 2020: 26-33 - [e1]Manish Parashar, Vladimir Vlassov, David E. Irwin, Kathryn M. Mohror:
HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, Stockholm, Sweden, June 23-26, 2020. ACM 2020, ISBN 978-1-4503-7052-3 [contents] - [i6]David Gureya, João Neto, Reza Karimi, João Barreto, Pramod Bhatotia, Vivien Quéma, Rodrigo Rodrigues, Paolo Romano, Vladimir Vlassov:
Bandwidth-Aware Page Placement in NUMA. CoRR abs/2003.03304 (2020)
2010 – 2019
- 2019
- [j12]Paolo Trunfio, Vladimir Vlassov:
Clouds for scalable Big Data processing. Int. J. Parallel Emergent Distributed Syst. 34(6): 629-631 (2019) - [c88]Zainab Abbas, Jon Reginbald Ivarsson, Ahmad Al-Shishtawy, Vladimir Vlassov:
Scaling Deep Learning Models for Large Spatial Time-Series Forecasting. IEEE BigData 2019: 1587-1594 - [c87]Manolis Koubarakis, Konstantina Bereta, Dimitris Bilidas, Konstantinos Giannousis, Theofilos Ioannidis, Despina-Athanasia Pantazi, George Stamoulis, Jim Dowling, Seif Haridi, Vladimir Vlassov, Lorenzo Bruzzone, Claudia Paris, Torbjørn Eltoft, Thomas Krämer, Angelos Charalambidis, Vangelis Karkaletsis, Stasinos Konstantopoulos, Theofilos Kakantousis, Mihai Datcu, Corneliu Octavian Dumitru, Florian Appel, Heike Bach, Silke Migdall, Nick Hughes, David Arthurs, Andrew Fleming:
From Copernicus Big Data to Extreme Earth Analytics. EDBT 2019: 690-693 - [c86]Sana Imtiaz, Ramin Sadre, Vladimir Vlassov:
On the Case of Privacy in the IoT Ecosystem: A Survey. iThings/GreenCom/CPSCom/SmartData 2019: 1015-1024 - 2018
- [j11]Zainab Abbas, Vasiliki Kalavri, Paris Carbone, Vladimir Vlassov:
Streaming Graph Partitioning: An Experimental Study. Proc. VLDB Endow. 11(11): 1590-1603 (2018) - [j10]Vasiliki Kalavri, Vladimir Vlassov, Seif Haridi:
High-Level Programming Abstractions for Distributed Graph Processing. IEEE Trans. Knowl. Data Eng. 30(2): 305-324 (2018) - [c85]Zainab Abbas, Ahmad Al-Shishtawy, Sarunas Girdzijauskas, Vladimir Vlassov:
Short-Term Traffic Prediction Using Long Short-Term Memory Neural Networks. BigData Congress 2018: 57-65 - [c84]Hooman Peiro Sajjad, Ying Liu, Vladimir Vlassov:
Optimizing Windowed Aggregation over Geo-Distributed Data Streams. EDGE 2018: 33-41 - [c83]Amin M. Khan, Felix Freitag, Vladimir Vlassov, Phuong Hoai Ha:
Demo abstract: Towards IoT service deployments on edge community network microclouds. INFOCOM Workshops 2018: 1-2 - [c82]Zainab Abbas, Thorsteinn Thorri Sigurdsson, Ahmad Al-Shishtawy, Vladimir Vlassov:
Evaluation of the Use of Streaming Graph Processing Algorithms for Road Congestion Detection. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 1017-1025 - [c81]Konstantin Sozinov, Vladimir Vlassov, Sarunas Girdzijauskas:
Human Activity Recognition Using Federated Learning. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 1103-1111 - 2017
- [j9]Ying Liu, Daharewa Gureya, Ahmad Al-Shishtawy, Vladimir Vlassov:
OnlineElastMan: self-trained proactive elasticity manager for cloud-based storage services. Clust. Comput. 20(3): 1977-1994 (2017) - [c80]Vamis Xhagjika, Òscar Divorra Escoda, Leandro Navarro, Vladimir Vlassov:
Load and Video Performance Patterns of a Cloud Based WebRTC Architecture. CCGrid 2017: 739-744 - [c79]Ruma R. Paul, Jérémie Melchior, Peter Van Roy, Vladimir Vlassov:
Designing Distributed Applications Using a Phase-Aware, Reversible System. EDGE 2017: 55-64 - [c78]Ying Liu, Xi Guan, Vladimir Vlassov, Seif Haridi:
MeteorShower: Minimizing Request Latency for Majority Quorum-Based Data Consistency Algorithms in Multiple Data Centers. ICDCS 2017: 57-67 - [c77]Nuno Apolónia, Felix Freitag, Leandro Navarro, Sarunas Girdzijauskas, Vladimir Vlassov:
Gossip-based service monitoring platform for wireless edge cloud computing. ICNSC 2017: 789-794 - [c76]Ahsan Javed Awan, Moriyoshi Ohara, Eduard Ayguadé, Kazuaki Ishizaki, Mats Brorsson, Vladimir Vlassov:
Identifying the potential of near data processing for apache spark. MEMSYS 2017: 60-67 - [c75]Vamis Xhagjika, Òscar Divorra Escoda, Leandro Navarro, Vladimir Vlassov:
Media streams allocation and load patterns for a WebRTC cloud architecture. NOF 2017: 14-21 - [i5]Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé:
Identifying the potential of Near Data Computing for Apache Spark. CoRR abs/1707.09323 (2017) - 2016
- [c74]Ahsan Javed Awan, Vladimir Vlassov, Mats Brorsson, Eduard Ayguadé:
Node architecture implications for in-memory data analytics on scale-in clusters. BDCAT 2016: 237-246 - [c73]Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé:
Micro-Architectural Characterization of Apache Spark on Batch and Stream Processing Workloads. BDCloud-SocialCom-SustainCom 2016: 59-66 - [c72]Hooman Peiro Sajjad, Amir Hossein Payberah, Fatemeh Rahimian, Vladimir Vlassov, Seif Haridi:
Boosting Vertex-Cut Partitioning for Streaming Graphs. BigData Congress 2016: 1-8 - [c71]Navaneeth Rameshan, Ying Liu, Leandro Navarro, Vladimir Vlassov:
Hubbub-Scale: Towards Reliable Elastic Scaling under Multi-tenancy. CCGrid 2016: 233-244 - [c70]Navaneeth Rameshan, Robert Birke, Leandro Navarro, Vladimir Vlassov, Bhuvan Urgaonkar, George Kesidis, Martin L. Schmatz, Lydia Y. Chen:
Profiling Memory Vulnerability of Big-Data Applications. DSN Workshops 2016: 258-261 - [c69]Hooman Peiro Sajjad, Ken Danniswara, Ahmad Al-Shishtawy, Vladimir Vlassov:
SpanEdge: Towards Unifying Stream Processing over Central and Near-the-Edge Data Centers. SEC 2016: 168-178 - [c68]Navaneeth Rameshan, Ying Liu, Leandro Navarro, Vladimir Vlassov:
Augmenting Elasticity Controllers for Improved Accuracy. ICAC 2016: 117-126 - [c67]Ying Liu, Daharewa Gureya, Ahmad Al-Shishtawy, Vladimir Vlassov:
OnlineElastMan: Self-Trained Proactive Elasticity Manager for Cloud-Based Storage Services. ICCAC 2016: 50-59 - [c66]Roger Baig, Felix Freitag, Agustí Moll, Leandro Navarro, Roger Pueyo Centelles, Vladimir Vlassov:
Cloud-based community services in community networks. ICNC 2016: 1-5 - [c65]Navaneeth Rameshan, Ying Liu, Leandro Navarro, Vladimir Vlassov:
Elastic Scaling in the Cloud: A Multi-tenant Perspective. ICDCS Workshops 2016: 25-30 - [c64]Ying Liu, Qinjin Wang, Vladimir Vlassov:
Catenae: Low Latency Transactions across Multiple Data Centers. ICPADS 2016: 491-500 - [c63]Ruma R. Paul, Peter Van Roy, Vladimir Vlassov:
Reversible Phase Transitions in a Structured Overlay Network with Churn. NETYS 2016: 318-333 - [i4]Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé:
Architectural Impact on Performance of In-memory Data Analytics: Apache Spark Case Study. CoRR abs/1604.08484 (2016) - [i3]Vasiliki Kalavri, Vladimir Vlassov, Seif Haridi:
High-Level Programming Abstractions for Distributed Graph Processing. CoRR abs/1607.02646 (2016) - 2015
- [c62]Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé:
Performance Characterization of In-Memory Data Analytics on a Modern Cloud Server. BDCloud 2015: 1-8 - [c61]Marianela García Lozano, Ulrik Franke, Magnus Rosell, Vladimir Vlassov:
Towards Automatic Veracity Assessment of Open Source Information. BigData Congress 2015: 199-206 - [c60]Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé:
How Data Volume Affects Spark Based Data Analytics on a Scale-up Server. BPOE 2015: 81-92 - [c59]Ying Liu, Navaneeth Rameshan, Enric Monte, Vladimir Vlassov, Leandro Navarro:
ProRenaTa: Proactive and Reactive Tuning to Scale a Distributed Storage System. CCGRID 2015: 453-464 - [c58]Vamis Xhagjika, Leandro Navarro, Vladimir Vlassov:
Enhancing Real-Time Applications by Means of Multi-tier Cloud Federations. CloudCom 2015: 397-404 - [c57]Hooman Peiro Sajjad, Fatemeh Rahimian, Vladimir Vlassov:
Smart partitioning of geo-distributed resources to improve cloud network performance. CloudNet 2015: 112-118 - [c56]Roger Baig, Felix Freitag, Amin M. Khan, Agustí Moll, Leandro Navarro, Roger Pueyo Centelles, Vladimir Vlassov:
Community clouds at the edge deployed in Guifi.net. CloudNet 2015: 213-215 - [c55]Roger Baig, Felix Freitag, Agustí Moll, Leandro Navarro, Roger Pueyo Centelles, Vladimir Vlassov:
Community network clouds as a case for the IEEE Intercloud standardization. CSCN 2015: 269-274 - [c54]Ken Danniswara, Hooman Peiro Sajjad, Ahmad Al-Shishtawy, Vladimir Vlassov:
Stream Processing in Community Network Clouds. FiCloud 2015: 800-805 - [c53]Paris Carbone, Vladimir Vlassov:
Auto-Scoring of Personalised News in the Real-Time Web: Challenges, Overview and Evaluation of the State-of-the-Art Solutions. ICCAC 2015: 169-180 - [c52]Ruma R. Paul, Peter Van Roy, Vladimir Vlassov:
Interaction between Network Partitioning and Churn in a Self-Healing Structured Overlay Network. ICPADS 2015: 232-241 - [c51]Roger Baig, Jim Dowling, Pau Escrich Garcia, Felix Freitag, Roc Meseguer, Agustí Moll, Leandro Navarro, Ermanno Pietrosemoli, Roger Pueyo Centelles, Vladimir Vlassov, Marco Zennaro:
Deploying clouds in the Guifi community network. IM 2015: 1020-1025 - [c50]Roger Baig, Rodrigo Carbajales, Pau Escrich Garcia, Jorge L. Florit, Felix Freitag, Agustí Moll, Leandro Navarro, Ermanno Pietrosemoli, Roger Pueyo Centelles, Mennan Selimi, Vladimir Vlassov, Marco Zennaro:
The cloudy distribution in community network clouds in Guifi.net. IM 2015: 1161-1162 - [c49]Roger Baig, Felix Freitag, Agustí Moll, Leandro Navarro, Roger Pueyo Centelles, Vladimir Vlassov:
Experiences in Building Micro-cloud Provider Federation in the Guifi Community Network. UCC 2015: 516-521 - [i2]Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé:
Performance Characterization of In-Memory Data Analytics on a Modern Cloud Server. CoRR abs/1506.07742 (2015) - [i1]Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé:
How Data Volume Affects \\Spark Based Data Analytics on a Scale-up Server. CoRR abs/1507.08340 (2015) - 2014
- [c48]Ying Liu, Vladimir Vlassov, Leandro Navarro:
Towards a Community Cloud Storage. AINA 2014: 837-844 - [c47]Vamis Xhagjika, Vladimir Vlassov, Magnus Molin, Simona Toma:
Structured Cloud federation for Carrier and ISP infrastructure. CloudNet 2014: 20-26 - [c46]Ying Liu, Xiaxi Li, Vladimir Vlassov:
GlobLease: A globally consistent and elastic storage system using leases. ICPADS 2014: 701-709 - [c45]Ying Liu, Vamis Xhagjika, Vladimir Vlassov, Ahmad Al-Shishtawy:
BwMan: Bandwidth Manager for Elastic Services in the Cloud. ISPA 2014: 217-224 - [c44]Artur Podobas, Mats Brorsson, Vladimir Vlassov:
TurboBŁYSK: Scheduling for Improved Data-Driven Task Performance with Fast Dependency Resolution. IWOMP 2014: 45-57 - [c43]Navaneeth Rameshan, Leandro Navarro, Enric Monte, Vladimir Vlassov:
Stay-Away, protecting sensitive applications from performance interference. Middleware 2014: 301-312 - [c42]Ruma R. Paul, Peter Van Roy, Vladimir Vlassov:
An empirical study of the global behavior of a structured overlay network. P2P 2014: 1-5 - [c41]Vasiliki Kalavri, Stephan Ewen, Kostas Tzoumas, Vladimir Vlassov, Volker Markl, Seif Haridi:
Asymmetry in Large-Scale Graph Analysis, Explained. GRADES 2014: 4:1-4:7 - 2013
- [c40]Ahmad Al-Shishtawy, Vladimir Vlassov:
ElastMan: elasticity manager for elastic key-value stores in the cloud. CAC 2013: 7:1-7:10 - [c39]Vasiliki Kalavri, Vaidas Brundza, Vladimir Vlassov:
Block Sampling: Efficient Accurate Online Aggregation in MapReduce. CloudCom (1) 2013: 250-257 - [c38]Vasiliki Kalavri, Hui Shang, Vladimir Vlassov:
m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data. CSE 2013: 894-901 - [c37]Ying Liu, Vladimir Vlassov:
Replication in Distributed Storage Systems: State of the Art, Possible Directions, and Open Issues. CyberC 2013: 225-232 - [c36]Vasiliki Kalavri, Vladimir Vlassov, Per Brand:
PonIC: Using Stratosphere to Speed Up Pig Analytics. Euro-Par 2013: 279-290 - [c35]Javi Jimenez, Roger Baig, Pau Escrich Garcia, Amin M. Khan, Felix Freitag, Leandro Navarro, Ermanno Pietrosemoli, Marco Zennaro, Amir Hossein Payberah, Vladimir Vlassov:
Supporting cloud deployment in the Guifi.net community network. GIIS 2013: 1-3 - [c34]Ahmad Al-Shishtawy, Vladimir Vlassov:
ElastMan: autonomic elasticity manager for cloud-based key-value stores. HPDC 2013: 115-116 - [c33]Ananya Muddukrishna, Peter A. Jonsson, Vladimir Vlassov, Mats Brorsson:
Locality-Aware Task Scheduling and Data Distribution on NUMA Systems. IWOMP 2013: 156-170 - [c32]Vasiliki Kalavri, Vladimir Vlassov:
MapReduce: Limitations, Optimizations and Open Issues. TrustCom/ISPA/IUCC 2013: 1031-1038 - [c31]Imran Mahmood, Rassul Ayani, Vladimir Vlassov, Farshad Moradi:
Composability Verification of Real Time System Models Using Colored Petri Nets. UKSim 2013: 407-412 - 2012
- [c30]Artur Podobas, Mats Brorsson, Vladimir Vlassov:
Exploring Heterogeneous Scheduling Using the Task-Centric Programming Model. Euro-Par Workshops 2012: 133-144 - [c29]Ananya Muddukrishna, Artur Podobas, Mats Brorsson, Vladimir Vlassov:
Task Scheduling on Manycore Processors with Home Caches. Euro-Par Workshops 2012: 357-367 - [c28]Ala Arman, Ahmad Al-Shishtawy, Vladimir Vlassov:
Elasticity Controller for Cloud-Based Key-Value Stores. ICPADS 2012: 268-275 - [c27]Imran Mahmood, Rassul Ayani, Vladimir Vlassov, Farshad Moradi:
Verifying Dynamic Semantic Composability of BOM-Based Composed Models Using Colored Petri Nets. PADS 2012: 250-257 - 2011
- [c26]Ahmad Al-Shishtawy, Tareq Jamal Khan, Vladimir Vlassov:
Robust Fault-Tolerant Majority-Based Key-Value Store Supporting Multiple Consistency Levels. ICPADS 2011: 589-596 - [c25]Imran Mahmood, Rassul Ayani, Vladimir Vlassov, Farshad Moradi:
Fairness Verification of BOM-Based Composed Models Using Petri Nets. PADS 2011: 1-8 - 2010
- [j8]Leif Lindbäck, Vladimir Vlassov, Shahab Mokarizadeh, Gabriele Violino:
VOFS: A Secure Churn-Tolerant Grid File System. Scalable Comput. Pract. Exp. 11(2) (2010) - [c24]Ahmad Al-Shishtawy, Muhammad Asif Fayyaz, Konstantin Popov, Vladimir Vlassov:
Achieving Robust Self-Management for Large-Scale Distributed Applications. SASO 2010: 31-40 - [c23]Lin Bao, Ahmad Al-Shishtawy, Vladimir Vlassov:
Policy Based Self-Management in Distributed Environments. SASO Workshops 2010: 256-260
2000 – 2009
- 2009
- [c22]