Blesson Varghese

197 papers A 2B 12C 13Misc 9Journal 128Unranked 31
YearRankTypeTitle / Venue / Authors
2026 J jnl
DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning.
CoRR
Yizhou Han, Di Wu, Blesson Varghese
2026 J jnl
FedFreeze: A dual-phase layer freezing framework for federated learning.
Future Gener. Comput. Syst.
Di Wu, Leon Wong, Blesson Varghese
2026 J jnl
Mosaic: Composite projection pruning for resource-efficient LLMs.
Future Gener. Comput. Syst.
Bailey J. Eccles, Leon Wong, Blesson Varghese
2026 J jnl
Multi-DNN Inference of Sparse Models on Edge SoCs.
CoRR
Jiawei Luo, Di Wu, Simon Dobson, Blesson Varghese
2025 J jnl
Ampere: Communication-Efficient and High-Accuracy Split Federated Learning.
CoRR
Zihan Zhang, Leon Wong, Blesson Varghese
2025 J jnl
Data-Free Pruning of Self-Attention Layers in LLMs.
CoRR
Dhananjay Saikumar, Blesson Varghese
2025 J jnl
EMO: Edge Model Overlays to Scale Model Size in Federated Learning.
CoRR
Di Wu, Weibo He, Wanglei Feng, Zhenyu Wen, Bin Qian, Blesson Varghese
2025 Misc conf
InferEdge: Characterizing Edge Inference Performance.
UCC
Gabriel Orion Kai Antar, Blesson Varghese
2025 J jnl
Mosaic: Composite Projection Pruning for Resource-efficient LLMs.
CoRR
Bailey J. Eccles, Leon Wong, Blesson Varghese
2025 J jnl
Resource Utilization Optimized Federated Learning.
CoRR
Zihan Zhang, Leon Wong, Blesson Varghese
2025 J jnl
Signal Collapse in One-Shot Pruning: When Sparse Models Fail to Distinguish Neural Representations.
CoRR
Dhananjay Saikumar, Blesson Varghese
2025 J jnl
Special Issue on Intelligent Architectures and Platforms for Private Edge Cloud Systems.
Future Gener. Comput. Syst.
Sayed Chhattan Shah, Taehong Kim, Blesson Varghese, Zhi Wang
2024 J jnl
Accelerator virtualization.
Concurr. Comput. Pract. Exp.
Carlos Reaño, Federico Silla, Blesson Varghese
2024 J jnl
DNNShifter: An efficient DNN pruning system for edge computing.
Future Gener. Comput. Syst.
Bailey J. Eccles, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2024 J jnl
DRIVE: Dual Gradient-Based Rapid Iterative Pruning.
CoRR
Dhananjay Saikumar, Blesson Varghese
2024 J jnl
EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning.
IEEE Trans. Parallel Distributed Syst.
Di Wu, Rehmat Ullah, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2024 J jnl
Enabling privacy-aware interoperable and quality IoT data sharing with context.
Future Gener. Comput. Syst.
Tek Raj Chhetri, Chinmaya Kumar Dehury, Blesson Varghese, Anna Fensel, Satish Narayana Srirama, Rance J. DeLong
2024 A conf
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning.
EuroSys
Dhananjay Saikumar, Blesson Varghese
2024 J jnl
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning.
CoRR
Dhananjay Saikumar, Blesson Varghese
2024 J jnl
PiPar: Pipeline parallelism for collaborative machine learning.
J. Parallel Distributed Comput.
Zihan Zhang, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2024 B conf
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization.
CCGrid
Bailey J. Eccles, Leon Wong, Blesson Varghese
2024 J jnl
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization.
CoRR
Bailey J. Eccles, Leon Wong, Blesson Varghese
2024 J jnl
ScissionLite: Accelerating Distributed Deep Learning With Lightweight Data Compression for IIoT.
IEEE Trans. Ind. Informatics
Hyunho Ahn, Munkyu Lee, Sihoon Seong, Gap-Joo Na, In-Geol Chun, Blesson Varghese, Cheol-Ho Hong
2023 C ed.
7th IEEE International Conference on Fog and Edge Computing, ICFEC 2023, Bangalore, India, May 1-4, 2023
ICFEC
Blesson Varghese, Cristina L. Abad, Yogesh Simmhan, Khalid Elgazzar, Stefan Schulte, Abhinandan S. Prasad, Lorenzo Carnevale
2023 J jnl
AI-based fog and edge computing: A systematic review, taxonomy and future directions.
Internet Things
Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song, Minxian Xu, Mohammad Sadegh Aslanpour, Adel Nadjaran Toosi, Junhui Du, Huaming Wu, Shreya Ghosh, Deepraj Chowdhury, Muhammed Golec, Mohit Kumar, Ahmed M. Abdelmoniem, Félix Cuadrado, Blesson Varghese, Omer F. Rana, Schahram Dustdar, Steve Uhlig
2023 J jnl
Communication Efficient DNN Partitioning-based Federated Learning.
CoRR
Di Wu, Rehmat Ullah, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2023 J jnl
DNNShifter: An Efficient DNN Pruning System for Edge Computing.
CoRR
Bailey J. Eccles, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2023 J jnl
Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems.
IEEE Trans. Parallel Distributed Syst.
Jason Kennedy, Vishal Sharma, Blesson Varghese, Carlos Reaño
2023 J jnl
PipeLearn: Pipeline Parallelism for Collaborative Machine Learning.
CoRR
Zihan Zhang, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2023 A conf
ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy.
WACV
JunKyu Lee, Blesson Varghese, Hans Vandierendonck
2023 J jnl
Stochastic Modeling for Intelligent Software-Defined Vehicular Networks: A Survey.
Comput.
Banoth Ravi, Blesson Varghese, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar, Chinmaya Kumar Dehury, Satish Narayana Srirama
2022 C ed.
6th IEEE International Conference on Fog and Edge Computing, ICFEC 2022, Messina, Italy, May 16-19, 2022
ICFEC
Lena Mashayekhy, Stefan Schulte, Valeria Cardellini, Burak Kantarci, Yogesh Simmhan, Blesson Varghese
2022 J jnl
A Survey on Edge Performance Benchmarking.
ACM Comput. Surv.
Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal de Lara, Weisong Shi, Christopher Stewart
2022 J jnl
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions.
CoRR
Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song, Minxian Xu, Mohammad Sadegh Aslanpour, Adel Nadjaran Toosi, Junhui Du, Huaming Wu, Shreya Ghosh, Deepraj Chowdhury, Muhammed Golec, Mohit Kumar, Ahmed M. Abdelmoniem, Félix Cuadrado, Blesson Varghese, Omer F. Rana, Schahram Dustdar, Steve Uhlig
2022 J jnl
Abusive Adversaries in 5G and Beyond IoT.
IEEE Consumer Electron. Mag.
Vishal Sharma, Blesson Varghese, John McAllister, Saraju P. Mohanty
2022 — conf
CONTINUER: Maintaining Distributed DNN Services During Edge Failures.
EDGE
Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2022 J jnl
CONTINUER: Maintaining Distributed DNN Services During Edge Failures.
CoRR
Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2022 J jnl
Context-aware distribution of fog applications using deep reinforcement learning.
J. Netw. Comput. Appl.
Nan Wang, Blesson Varghese
2022 J jnl
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning.
IEEE Internet Things J.
Di Wu, Rehmat Ullah, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2022 Misc conf
FedComm: Understanding Communication Protocols for Edge-based Federated Learning.
UCC
Gary Cleland, Di Wu, Rehmat Ullah, Blesson Varghese
2022 J jnl
FedComm: Understanding Communication Protocols for Edge-based Federated Learning.
CoRR
Gary Cleland, Di Wu, Rehmat Ullah, Blesson Varghese
2022 J jnl
FedFly: Toward Migration in Edge-Based Distributed Federated Learning.
IEEE Commun. Mag.
Rehmat Ullah, Di Wu, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2022 J jnl
IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing.
Enterp. Inf. Syst.
Arwinder Dhillon, Ashima Singh, Harpreet Vohra, Caroline Ellis, Blesson Varghese, Sukhpal Singh Gill
2022 — conf
Measuring Torque Production with a Robotic Exoskeleton during Cervical Transcutaneous Spinal Stimulation.
ICORR
Erin E. Mahan, Nathan Dunkelberger, Jeonghoon Oh, Madison Simmons, Blesson Varghese, Dimitry Sayenko, Marcia K. O'Malley
2022 J jnl
ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy.
CoRR
JunKyu Lee, Blesson Varghese, Hans Vandierendonck
2022 J jnl
Roadmap for edge AI: a Dagstuhl perspective.
Comput. Commun. Rev.
Aaron Yi Ding, Ella Peltonen, Tobias Meuser, Atakan Aral, Christian Becker, Schahram Dustdar, Thomas Hiessl, Dieter Kranzlmüller, Madhusanka Liyanage, Setareh Maghsudi, Nitinder Mohan, Jörg Ott, Jan S. Rellermeyer, Stefan Schulte, Henning Schulzrinne, Gürkan Solmaz, Sasu Tarkoma, Blesson Varghese, Lars C. Wolf
2021 C ed.
5th IEEE International Conference on Fog and Edge Computing, ICFEC 2021, Virtual Event, May 10-13, 2021
ICFEC
Yogesh L. Simmhan, Blesson Varghese, Lena Mashayekhy, Rajkumar Buyya, Omer F. Rana
2021 C conf
AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries.
ICFEC
Jason Kennedy, Blesson Varghese, Carlos Reaño
2021 J jnl
AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries.
CoRR
Jason Kennedy, Blesson Varghese, Carlos Reaño
2021 J jnl
Editorial.
J. Parallel Distributed Comput.
Carlos Reaño, Federico Silla, Blesson Varghese
2021 J jnl
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning.
CoRR
Di Wu, Rehmat Ullah, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2021 J jnl
FedFly: Towards Migration in Edge-based Distributed Federated Learning.
CoRR
Rehmat Ullah, Di Wu, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2021 B conf
NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs.
IC2E
Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2021 J jnl
NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs.
CoRR
Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2021 J jnl
QUDOS: Quorum-Based Cloud-Edge Distributed DNNs for Security Enhanced Industry 4.0.
CoRR
Kevin Wallis, Christoph Reich, Blesson Varghese, Christian Schindelhauer
2021 Misc conf
QUDOS: quorum-based cloud-edge distributed DNNs for security enhanced industry 4.0.
UCC
Kevin Wallis, Christoph Reich, Blesson Varghese, Christian Schindelhauer
2021 J jnl
Revisiting the Arguments for Edge Computing Research.
CoRR
Blesson Varghese, Eyal de Lara, Aaron Yi Ding, Cheol-Ho Hong, Flavio Bonomi, Schahram Dustdar, Paul Harvey, Peter Hewkin, Weisong Shi, Mark Thiele, Peter Willis
2021 J jnl
Revisiting the Arguments for Edge Computing Research.
IEEE Internet Comput.
Blesson Varghese, Eyal de Lara, Aaron Yi Ding, Cheol-Ho Hong, Flavio Bonomi, Schahram Dustdar, Paul Harvey, Peter Hewkin, Weisong Shi, Mark Thiele, Peter Willis
2021 J jnl
Roadmap for Edge AI: A Dagstuhl Perspective.
CoRR
Aaron Yi Ding, Ella Peltonen, Tobias Meuser, Atakan Aral, Christian Becker, Schahram Dustdar, Thomas Hiessl, Dieter Kranzlmüller, Madhusanka Liyanage, Setareh Magshudi, Nitinder Mohan, Jörg Ott, Jan S. Rellermeyer, Stefan Schulte, Henning Schulzrinne, Gürkan Solmaz, Sasu Tarkoma, Blesson Varghese, Lars C. Wolf
2021 J jnl
ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer.
CoRR
Hyunho Ahn, Munkyu Lee, Cheol-Ho Hong, Blesson Varghese
2021 C conf
TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge.
ICFEC
JunKyu Lee, Blesson Varghese, Roger F. Woods, Hans Vandierendonck
2021 J jnl
TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge.
CoRR
JunKyu Lee, Blesson Varghese, Roger F. Woods, Hans Vandierendonck
2021 B conf
The Case for Adaptive Deep Neural Networks in Edge Computing.
CLOUD
Francis McNamee, Schahram Dustdar, Peter Kilpatrick, Weisong Shi, Ivor T. A. Spence, Blesson Varghese
2021 J jnl
Toward Sustainable Serverless Computing.
IEEE Internet Comput.
Panos Patros, Josef Spillner, Alessandro V. Papadopoulos, Blesson Varghese, Omer F. Rana, Schahram Dustdar
2020 J jnl
A Case For Adaptive Deep Neural Networks in Edge Computing.
CoRR
Francis McNamee, Schahram Dustdar, Peter Kilpatrick, Weisong Shi, Ivor T. A. Spence, Blesson Varghese
2020 J jnl
A Survey on Edge Benchmarking.
CoRR
Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal de Lara, Weisong Shi, Christopher Stewart
2020 J jnl
Context-aware Distribution of Fog Applications Using Deep Reinforcement Learning.
CoRR
Nan Wang, Blesson Varghese
2020 B conf
Cross Architectural Power Modelling.
CCGRID
Kai Chen, Peter Kilpatrick, Dimitrios S. Nikolopoulos, Blesson Varghese
2020 J jnl
Cross Architectural Power Modelling.
CoRR
Kai Chen, Peter Kilpatrick, Dimitrios S. Nikolopoulos, Blesson Varghese
2020 J jnl
DYVERSE: DYnamic VERtical Scaling in multi-tenant Edge environments.
Future Gener. Comput. Syst.
Nan Wang, Michail Matthaiou, Dimitrios S. Nikolopoulos, Blesson Varghese
2020 J jnl
ENORM: A Framework For Edge NOde Resource Management.
IEEE Trans. Serv. Comput.
Nan Wang, Blesson Varghese, Michail Matthaiou, Dimitrios S. Nikolopoulos
2020 J jnl
IoTSim-SDWAN: A simulation framework for interconnecting distributed datacenters over Software-Defined Wide Area Network (SD-WAN).
J. Parallel Distributed Comput.
Khaled Alwasel, Devki Nandan Jha, Eduardo Hernández, Deepak Puthal, Mutaz Barika, Blesson Varghese, Saurabh Kumar Garg, Philip James, Albert Y. Zomaya, Graham Morgan, Rajiv Ranjan
2020 C conf
Modelling Fog Offloading Performance.
ICFEC
Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2020 J jnl
Modelling Fog Offloading Performance.
CoRR
Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2020 J jnl
New generation cloud computing.
Softw. Pract. Exp.
Blesson Varghese, Marco A. S. Netto, Ignacio Martín Llorente, Rajkumar Buyya
2020 C conf
Priority-based Fair Scheduling in Edge Computing.
ICFEC
Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos, Rajiv Ranjan, Blesson Varghese
2020 J jnl
Priority-based Fair Scheduling in Edge Computing.
CoRR
Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos, Rajiv Ranjan, Blesson Varghese
2020 J jnl
Scission: Context-aware and Performance-driven Edge-based Distributed Deep Neural Networks.
CoRR
Luke Lockhart, Paul Harvey, Pierre Imai, Peter Willis, Blesson Varghese
2020 Misc conf
Scission: Performance-driven and Context-aware Cloud-Edge Distribution of Deep Neural Networks.
UCC
Luke Lockhart, Paul Harvey, Pierre Imai, Peter Willis, Blesson Varghese
2020 Misc conf
WattsApp: Power-Aware Container Scheduling.
UCC
Hemant Kumar Mehta, Paul Harvey, Omer F. Rana, Rajkumar Buyya, Blesson Varghese
2020 J jnl
WattsApp: Power-Aware Container Scheduling.
CoRR
Hemant Kumar Mehta, Paul Harvey, Omer F. Rana, Rajkumar Buyya, Blesson Varghese
2019 J jnl
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade.
ACM Comput. Surv.
Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale, Rodrigo N. Calheiros, Yogesh Simmhan, Blesson Varghese, Erol Gelenbe, Bahman Javadi, Luis Miguel Vaquero, Marco A. S. Netto, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Ignacio Martín Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assunção, Omer F. Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya, Haiying Shen
2019 — ch.
Addressing the Challenges in Federating Edge Resources.
Fog and Edge Computing
Ahmet Cihat Baktir, Cagatay Sonmez, Cem Ersoy, Atay Ozgovde, Blesson Varghese
2019 J jnl
Cloud Benchmarking for Maximising Performance of Scientific Applications.
IEEE Trans. Cloud Comput.
Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai, Adam Barker
2019 J jnl
Cloud Futurology.
Computer
Blesson Varghese, Philipp Leitner, Suprio Ray, Kyle Chard, Adam Barker, Yehia Elkhatib, Herry Herry, Cheol-Ho Hong, Jeremy Singer, Fung Po Tso, Eiko Yoneki, Mohamed Faten Zhani
2019 J jnl
Cloud Futurology.
CoRR
Blesson Varghese, Philipp Leitner, Suprio Ray, Kyle Chard, Adam Barker, Yehia Elkhatib, Herry Herry, Cheol-Ho Hong, Jeremy Singer, Fung Po Tso, Eiko Yoneki, Mohamed Faten Zhani
2019 J jnl
DeFog: Fog Computing Benchmarks.
CoRR
Jonathan McChesney, Nan Wang, Ashish Tanwer, Eyal de Lara, Blesson Varghese
2019 Misc conf
DeFog: fog computing benchmarks.
SEC
Jonathan McChesney, Nan Wang, Ashish Tanwer, Eyal de Lara, Blesson Varghese
2019 — conf
Performance Estimation of Container-Based Cloud-to-Fog Offloading.
UCC Companion
Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2019 J jnl
Performance Estimation of Container-Based Cloud-to-Fog Offloading.
CoRR
Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2019 C ed.
Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2019, Auckland, New Zealand, December 2-5, 2019.
BDCAT
Kenneth Johnson, Josef Spillner, Xinghui Zhao, Olga Datskova, Blesson Varghese
2019 — conf
Research challenges in query processing and data analytics on the edge.
CASCON
Blesson Varghese, Suprio Ray, Bhavesh N. Gohil, Sergio Vega
2019 J jnl
Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms.
ACM Comput. Surv.
Cheol-Ho Hong, Blesson Varghese
2018 J jnl
A survey and taxonomy of resource optimisation for executing bag-of-task applications on public clouds.
Future Gener. Comput. Syst.
Long Thai, Blesson Varghese, Adam Barker
2018 J jnl
Accelerator Virtualization in Fog Computing: Moving From the Cloud to the Edge.
CoRR
Blesson Varghese, Carlos Reaño, Federico Silla
2018 J jnl
Accelerator Virtualization in Fog Computing: Moving from the Cloud to the Edge.
IEEE Cloud Comput.
Blesson Varghese, Carlos Reaño, Federico Silla
2018 J jnl
Addressing the Challenges in Federating Edge Resources.
CoRR
Ahmet Cihat Baktir, Cagatay Sonmez, Cem Ersoy, Atay Ozgovde, Blesson Varghese
2018 J jnl
DYVERSE: DYnamic VERtical Scaling in Multi-tenant Edge Environments.
CoRR
Nan Wang, Michail Matthaiou, Dimitrios S. Nikolopoulos, Blesson Varghese
2018 J jnl
Intra-Node Memory Safe GPU Co-Scheduling.
IEEE Trans. Parallel Distributed Syst.
Carlos Reaño, Federico Silla, Dimitrios S. Nikolopoulos, Blesson Varghese
2018 J jnl
Next generation cloud computing: New trends and research directions.
Future Gener. Comput. Syst.
Blesson Varghese, Rajkumar Buyya
2018 J jnl
Realizing Edge Marketplaces: Challenges and Opportunities.
IEEE Cloud Comput.
Blesson Varghese, Massimo Villari, Omer F. Rana, Philip James, Tejal Shah, Maria Fazio, Rajiv Ranjan
2018 J jnl
Realizing Edge Marketplaces: Challenges and Opportunities.
CoRR
Blesson Varghese, Massimo Villari, Omer F. Rana, Philip James, Tejal Shah, Maria Fazio, Rajiv Ranjan
2018 J jnl
Resource Management in Fog/Edge Computing: A Survey.
CoRR
Cheol-Ho Hong, Blesson Varghese
2017 J jnl
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade.
CoRR
Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale, Rodrigo N. Calheiros, Yogesh Simmhan, Blesson Varghese, Erol Gelenbe, Bahman Javadi, Luis Miguel Vaquero, Marco A. S. Netto, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Ignacio Martín Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assunção, Omer F. Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya, Haiying Shen
2017 J jnl
A Survey and Taxonomy of Resource Optimisation for Executing Bag-of-Task Applications on Public Clouds.
CoRR
Long Thai, Blesson Varghese, Adam Barker
2017 J jnl
ENORM: A Framework For Edge NOde Resource Management.
CoRR
Nan Wang, Blesson Varghese, Michail Matthaiou, Dimitrios S. Nikolopoulos
2017 — conf
Edge-as-a-Service: Towards Distributed Cloud Architectures.
PARCO
Blesson Varghese, Nan Wang, Jianyu Li, Dimitrios S. Nikolopoulos
2017 J jnl
Edge-as-a-Service: Towards Distributed Cloud Architectures.
CoRR
Blesson Varghese, Nan Wang, Jianyu Li, Dimitrios S. Nikolopoulos
2017 J jnl
Feasibility of Fog Computing.
CoRR
Blesson Varghese, Nan Wang, Dimitrios S. Nikolopoulos, Rajkumar Buyya
2017 J jnl
Intra-node Memory Safe GPU Co-Scheduling.
CoRR
Carlos Reaño, Federico Silla, Dimitrios S. Nikolopoulos, Blesson Varghese
2017 J jnl
Multi-tenant virtual GPUs for optimising performance of a financial risk application.
J. Parallel Distributed Comput.
Javier Prades, Blesson Varghese, Carlos Reaño, Federico Silla
2017 J jnl
Next Generation Cloud Computing: New Trends and Research Directions.
CoRR
Blesson Varghese, Rajkumar Buyya
2017 J jnl
Plug and Play Bench: Simplifying Big Data Benchmarking Using Containers.
CoRR
Sheriffo Ceesay, Adam Barker, Blesson Varghese
2017 — conf
Plug and play bench: Simplifying big data benchmarking using containers.
IEEE BigData
Sheriffo Ceesay, Adam Barker, Blesson Varghese
2017 — conf
Power Modelling for Heterogeneous Cloud-Edge Data Centers.
PARCO
Kai Chen, Blesson Varghese, Peter Kilpatrick, Dimitrios S. Nikolopoulos
2017 J jnl
Power Modelling for Heterogeneous Cloud-Edge Data Centers.
CoRR
Kai Chen, Blesson Varghese, Peter Kilpatrick, Dimitrios S. Nikolopoulos
2016 J jnl
A Machine Learning Analysis of Twitter Sentiment to the Sandy Hook Shootings.
CoRR
Nan Wang, Blesson Varghese, Peter D. Donnelly
2016 — conf
A machine learning analysis of Twitter sentiment to the Sandy Hook shootings.
eScience
Nan Wang, Blesson Varghese, Peter D. Donnelly
2016 J jnl
Accelerating R-based analytics on the cloud.
Concurr. Comput. Pract. Exp.
Ishan Patel, Andrew Rau-Chaplin, Blesson Varghese
2016 C conf
Algorithms for Optimising Heterogeneous Cloud Virtual Machine Clusters.
CloudCom
Long Thai, Blesson Varghese, Adam Barker
2016 — conf
Challenges and Opportunities in Edge Computing.
SmartCloud
Blesson Varghese, Nan Wang, Sakil Barbhuiya, Peter Kilpatrick, Dimitrios S. Nikolopoulos
2016 J jnl
Challenges and Opportunities in Edge Computing.
CoRR
Blesson Varghese, Nan Wang, Sakil Barbhuiya, Peter Kilpatrick, Dimitrios S. Nikolopoulos
2016 J jnl
Cloud Benchmarking For Maximising Performance of Scientific Applications.
CoRR
Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai, Adam Barker
2016 J jnl
Computing probable maximum loss in catastrophe reinsurance portfolios on multi-core and many-core architectures.
Concurr. Comput. Pract. Exp.
Neil Burke, Andrew Rau-Chaplin, Blesson Varghese
2016 B conf
Container-Based Cloud Virtual Machine Benchmarking.
IC2E
Blesson Varghese, Lawan Thamsuhang Subba, Long Thai, Adam Barker
2016 J jnl
Container-Based Cloud Virtual Machine Benchmarking.
CoRR
Blesson Varghese, Lawan Thamsuhang Subba, Long Thai, Adam Barker
2016 B conf
DocLite: A Docker-Based Lightweight Cloud Benchmarking Tool.
CCGrid
Blesson Varghese, Lawan Thamsuhang Subba, Long Thai, Adam Barker
2016 J jnl
DocLite: A Docker-Based Lightweight Cloud Benchmarking Tool.
CoRR
Blesson Varghese, Lawan Thamsuhang Subba, Long Thai, Adam Barker
2016 — conf
Minimising the Execution of Unknown Bag-of-Task Jobs with Deadlines on the Cloud.
DIDC@HPDC
Long Thai, Blesson Varghese, Adam Barker
2016 J jnl
Multi-Tenant Virtual GPUs for Optimising Performance of a Financial Risk Application.
CoRR
Javier Prades, Blesson Varghese, Carlos Reaño, Federico Silla
2015 B conf
Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application.
e-Science
Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla
2015 J jnl
Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application.
CoRR
Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla
2015 B conf
Budget Constrained Execution of Multiple Bag-of-Tasks Applications on the Cloud.
CLOUD
Long Thai, Blesson Varghese, Adam Barker
2015 J jnl
Budget Constrained Execution of Multiple Bag-of-Tasks Applications on the Cloud.
CoRR
Long Thai, Blesson Varghese, Adam Barker
2015 B conf
Cloud Services Brokerage: A Survey and Research Roadmap.
CLOUD
Adam Barker, Blesson Varghese, Long Thai
2015 J jnl
Cloud Services Brokerage: A Survey and Research Roadmap.
CoRR
Adam Barker, Blesson Varghese, Long Thai
2015 B conf
Cloud-based E-Infrastructure for Scheduling Astronomical Observations.
e-Science
James Wetter, Ozgur Akgun, Adam Barker, Martin Dominik, Ian Miguel, Blesson Varghese
2015 C conf
Executing Bag of Distributed Tasks on Virtually Unlimited Cloud Resources.
CLOSER
Long Thai, Blesson Varghese, Adam Barker
2015 J jnl
Executing Bag of Distributed Tasks on Virtually Unlimited Cloud Resources.
CoRR
Long Thai, Blesson Varghese, Adam Barker
2015 J jnl
RBioCloud: A Light-Weight Framework for Bioconductor and R-based Jobs on the Cloud.
IEEE ACM Trans. Comput. Biol. Bioinform.
Blesson Varghese, Ishan Patel, Adam Barker
2015 B conf
Task Scheduling on the Cloud with Hard Constraints.
SERVICES
Long Thai, Blesson Varghese, Adam Barker
2015 J jnl
Task Scheduling on the Cloud with Hard Constraints.
CoRR
Long Thai, Blesson Varghese, Adam Barker
2015 J jnl
The GPU vs Phi Debate: Risk Analytics Using Many-Core Computing.
CoRR
Blesson Varghese
2015 J jnl
The hardware accelerator debate: A financial risk case study using many-core computing.
Comput. Electr. Eng.
Blesson Varghese
2014 — conf
Academic Cloud Computing Research: Five Pitfalls and Five Opportunities.
HotCloud
Adam Barker, Blesson Varghese, Jonathan Stuart Ward, Ian Sommerville
2014 J jnl
Academic Cloud Computing Research: Five Pitfalls and Five Opportunities.
CoRR
Adam Barker, Blesson Varghese, Jonathan Stuart Ward, Ian Sommerville
2014 — conf
Are Clouds Ready to Accelerate Ad Hoc Financial Simulations?
BDC
Blesson Varghese, Adam Barker
2014 J jnl
Are Clouds Ready to Accelerate Ad hoc Financial Simulations?
CoRR
Blesson Varghese, Adam Barker
2014 J jnl
Automating Fault Tolerance in High-Performance Computational Biological Jobs Using Multi-Agent Approaches.
CoRR
Blesson Varghese, Gerard T. McKee, Vassil Alexandrov
2014 J jnl
Automating fault tolerance in high-performance computational biological jobs using multi-agent approaches.
Comput. Biol. Medicine
Blesson Varghese, Gerard T. McKee, Vassil Alexandrov
2014 J jnl
BigExcel: A Web-Based Framework for Exploring Big Data in Social Sciences.
CoRR
Muhammed Asif Saleem, Blesson Varghese, Adam Barker
2014 — conf
BigExcel: A web-based framework for exploring big data in social sciences.
IEEE BigData
Muhammed Asif Saleem, Blesson Varghese, Adam Barker
2014 C conf
Cloud Benchmarking for Performance.
CloudCom
Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai, Adam Barker
2014 J jnl
Cloud Benchmarking for Performance.
CoRR
Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai, Adam Barker
2014 C conf
Executing Bag of Distributed Tasks on the Cloud: Investigating the Trade-Offs between Performance and Cost.
CloudCom
Long Thai, Blesson Varghese, Adam Barker
2014 J jnl
Executing Bag of Distributed Tasks on the Cloud: Investigating the Trade-offs Between Performance and Cost.
CoRR
Long Thai, Blesson Varghese, Adam Barker
2014 C conf
Optimal Deployment of Geographically Distributed Workflow Engines on the Cloud.
CloudCom
Long Thai, Adam Barker, Blesson Varghese, Ozgur Akgun, Ian Miguel
2014 J jnl
Optimal Deployment of Geographically Distributed Workflow Engines on the Cloud.
CoRR
Long Thai, Adam Barker, Blesson Varghese, Ozgur Akgun, Ian Miguel
2013 Misc conf
A MapReduce Framework for Analysing Portfolios of Catastrophic Risk with Secondary Uncertainty.
ICCS
Andrew Rau-Chaplin, Blesson Varghese, Zhimin Yao
2013 J jnl
A Mathematical Model, Implementation and Study of a Swarm System.
CoRR
Blesson Varghese, Gerard T. McKee
2013 J jnl
Accelerating R-based Analytics on the Cloud.
CoRR
Ishan Patel, Andrew Rau-Chaplin, Blesson Varghese
2013 J jnl
Accounting for Secondary Uncertainty: Efficient Computation of Portfolio Risk Measures on Multi and Many Core Architectures.
CoRR
Blesson Varghese, Andrew Rau-Chaplin
2013 — conf
Accounting for secondary uncertainty: efficient computation of portfolio risk measures on multi and many core architectures.
WHPCF@SC
Blesson Varghese, Andrew Rau-Chaplin
2013 B conf
Achieving Speedup in Aggregate Risk Analysis Using Multiple GPUs.
ICPP
Aman K. Bahl, Oliver Baltzer, Andrew Rau-Chaplin, Blesson Varghese, Aaron Whiteway
2013 J jnl
Achieving Speedup in Aggregate Risk Analysis using Multiple GPUs.
CoRR
Aman K. Bahl, Oliver Baltzer, Andrew Rau-Chaplin, Blesson Varghese, Aaron Whiteway
2013 J jnl
Can Agent Intelligence be used to Achieve Fault Tolerant Parallel Computing Systems?
CoRR
Blesson Varghese, Gerard T. McKee, Vassil Alexandrov
2013 J jnl
Data Challenges in High-Performance Risk Analytics.
CoRR
Blesson Varghese, Andrew Rau-Chaplin
2013 J jnl
Developing and Testing the Automated Post-Event Earthquake Loss Estimation and Visualisation (APE-ELEV) Technique.
CoRR
Anthony Astoul, Christopher Filliter, Eric Mason, Andrew Rau-Chaplin, Kunal Shridhar, Blesson Varghese, Naman Varshney
2013 J jnl
High Performance Risk Aggregation: Addressing the Data Processing Challenge the Hadoop MapReduce Way.
CoRR
Zhimin Yao, Blesson Varghese, Andrew Rau-Chaplin
2013 — conf
High performance risk aggregation: addressing the data processing challenge the hadoop mapreduce way.
ScienceCloud@HPDC
Zhimin Yao, Blesson Varghese, Andrew Rau-Chaplin
2013 J jnl
Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk.
CoRR
Aman Kumar Bahl, Oliver Baltzer, Andrew Rau-Chaplin, Blesson Varghese
2013 J jnl
QuPARA: Query-Driven Large-Scale Portfolio Aggregate Risk Analysis on MapReduce.
CoRR
Andrew Rau-Chaplin, Blesson Varghese, Duane Wilson, Zhimin Yao, Norbert Zeh
2013 — conf
QuPARA: Query-driven large-scale portfolio aggregate risk analysis on MapReduce.
IEEE BigData
Andrew Rau-Chaplin, Blesson Varghese, Duane Wilson, Zhimin Yao, Norbert Zeh
2013 J jnl
RBioCloud: A Light-weight Framework for Bioconductor and R-based Jobs on the Cloud.
CoRR
Ishan Patel, Blesson Varghese, Adam Barker
2013 — conf
Risk Analytics for Estimating and Validating Magnitude of Earthquake Losses.
DEXA Workshops
Anthony Astoul, Christopher Filliter, Andrew Rau-Chaplin, Kunal Shridhar, Blesson Varghese, Naman Varshney
2013 J jnl
The Royal Birth of 2013: Analysing and Visualising Public Sentiment in the UK Using Twitter.
CoRR
Vu Dung Nguyen, Blesson Varghese, Adam Barker
2013 — conf
The royal birth of 2013: Analysing and visualising public sentiment in the UK using Twitter.
IEEE BigData
Vu Dung Nguyen, Blesson Varghese, Adam Barker
2012 — conf
A Platform for Parallel R-based Analytics on Cloud Infrastructure.
ICPP Workshops
Ishan Patel, Andrew Rau-Chaplin, Blesson Varghese
2012 — conf
Data Challenges in High-Performance Risk Analytics.
SC Companion
Blesson Varghese, Andrew Rau-Chaplin
2012 — conf
Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk.
SC Companion
Aman Kumar Bahl, Oliver Baltzer, Andrew Rau-Chaplin, Blesson Varghese
2012 — conf
Rapid Post-event Catastrophe Modelling and Visualization.
DEXA Workshops
Eric Mason, Andrew Rau-Chaplin, Kunal Shridhar, Blesson Varghese, Naman Varshney
2012 — conf
Robotic Ecologies for Deep Space Outposts.
SyRoCo
Gerard T. McKee, Blesson Varghese
2011 J jnl
Can Agent Intelligence be Used to Achieve Fault Tolerant Parallel Computing Systems?
Parallel Process. Lett.
Blesson Varghese, Gerard T. McKee, Vassil Alexandrov
2011 — —
Swarm-array computing : a swarm robotics inspired approach to achieve automated fault tolerance in high-performance computing systems.
Blesson Varghese
2010 — conf
A Cluster-Based Implementation of a Fault Tolerant Parallel Reduction Algorithm Using Swarm-Array Computing.
ICAS
Blesson Varghese, Gerard T. McKee, Vassil Alexandrov
2010 J jnl
A mathematical model, implementation and study of a swarm system.
Robotics Auton. Syst.
Blesson Varghese, Gerard T. McKee
2010 — conf
An MPI-based implementation of intelligent agents on clusters.
SpringSim
Blesson Varghese, Gerard T. McKee, Vassil Alexandrov
2010 J jnl
Exploring Carrier Agents in Swarm-Array Computing.
Scalable Comput. Pract. Exp.
Blesson Varghese, Gerard T. McKee
2010 Misc conf
Implementing intelligent cores using processor virtualization for fault tolerance.
ICCS
Blesson Varghese, Gerard T. McKee, Vassil Alexandrov
2010 — conf
Intelligent Agents for Fault Tolerance: From Multi-agent Simulation to Cluster-Based Implementation.
AINA Workshops
Blesson Varghese, Gerard T. McKee, Vassil Alexandrov
2009 J jnl
A review and implementation of swarm pattern formation and transformation models.
Int. J. Intell. Comput. Cybern.
Blesson Varghese, Gerard T. McKee
2009 Misc conf
Autonomous Execution of Tasks by Swarm Carrier Agents in Swarm-Array Computing.
IDC
Blesson Varghese, Gerard T. McKee
2009 — conf
Can Space Applications Benefit from Intelligent Agents?
Autonomics
Blesson Varghese, Gerard T. McKee
2009 — conf
Investigating feasible tools for swarm pattern transformation.
ROBOCOMM
Blesson Varghese, Gerard T. McKee
2009 — conf
Modeling and Simulating a Mathematical Tool for Multi-robot Pattern Transformation.
ICCMS
Blesson Varghese, Gerard T. McKee
2009 — conf
Swarm pattern transformation methodologies.
SIS
Blesson Varghese, Gerard T. McKee
2008 — conf
A swarm pattern transformation method based on macroscopic parameter operations.
ROBIO
Blesson Varghese, Gerard T. McKee