2022

D. Wu, R. Ullah, P. Harvey, P. Kilpatrick, I. Spence and Blesson Varghese, "FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning," IEEE Internet of Things Journal, 2022. [IF: 11.705]
​
R. Ullah, D. Wu, P. Harvey, P. Kilpatrick, I. Spence and Blesson Varghese, "FedFly: Towards Migration in Edge-based Distributed Federated Learning," IEEE Communications Magazine, 2022. [IF: 11.05]
 
A. A. Majeed, P. Kilpatrick, I. Spence and Blesson Varghese, "CONTINUER: Maintaining Distributed DNN Services During Edge Failures," IEEE International Conference on Edge Computing and Communications, 2022. [Best Student Paper Award]

G. Cleland, D. Wu, R. Ullah and Blesson Varghese, “FedComm: Understanding Communication Protocols for Edge-based Federated Learning,” IEEE/ACM International Conference on Utility and Cloud Computing, 2022.
 
N. Wang and Blesson Varghese, "Context-aware Distribution of Fog Applications Using Deep Reinforcement Learning," Journal of Network and Computer Applications, 2022. [IF: 6.281]
   
A. Y. Ding, E. Peltonen, T. Meuser, A. Aral, C. Becker, S. Dustdar, T. Hisse, D. Kranzlmuller, M. Liyange, S. Magshudi, N. Mohan, J. Ott, J. S. Kellermeier, S. Schulte, H. Schulzrinne, G. Solmaz, S. Tarkoma, Blesson Varghese and L. Wolf, "Roadmap for Edge AI: A Dagstuhl Perspective," ACM SIGCOMM Computer Communication Review, 2022.

H. Ahn, M. Lee, C. -H. Hong and Blesson Varghese, "ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer," eprint arXiv:2105.02019.

Blesson Varghese, E. de Lara, A. Ding, C. -H. Hong, F. Bonomi, S. Dustdar, P. Harvey, P. Hewkin, W. Shi, M. Thiele and P. Willis, "Revisiting the Arguments for Edge Computing Research," IEEE Internet Computing, 2021. [IF: 4.231]

F. McNamee, S. Dustadar, P. Kilpatrick, W. Shi, I. Spence and Blesson Varghese, "A Case for Adaptive Deep Neural Networks in Edge Computing," 14th IEEE International Conference on Cloud Computing, 2021. 

A. A. Majeed, P. Kilpatrick, I. Spence and Blesson Varghese, "NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs," 9th IEEE International Conference on Cloud Engineering, 2021. 

K. Wallis, Blesson Varghese, C. Reich and C. Schindelhauer, "QUDOS: Quorum-Based Cloud-Edge Distributed DNNs for Security Enhanced Industry 4.0," 14th IEEE/ACM Conference on Utility and Cloud Computing, 2021. 

P. Patros, J. Spillner, A. Papadopoulos, Blesson Varghese, O. Rana and S. Dustdar, "Towards Sustainable Serverless Computing," IEEE Internet Computing, 2021. [IF: 4.231]

J. Kennedy, Blesson Varghese and C. Reano, "AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries," 5th IEEE International Conference on Fog and Edge Computing, 2021 [Acceptance rate: 17%].

V. Sharma, Blesson Varghese, J. McAllister and S. Mohanty, "Abusive Adversaries in 5G and beyond IoT," IEEE Consumer Electronics Magazine, 2021 [IF: 4.016]

J. Lee, Blesson Varghese, R. Woods and H. Vandierendonck, "TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge," 5th IEEE International Conference on Fog and Edge Computing, 2021 [Acceptance rate: 17%]

Blesson Varghese and F. Bonomi, "Reimagining the Internet with Edge Computing," BCS ITNOW, Vol. 63, Issue 1, 2021, pp. 20–21.

N. Wang, M. Matthaiou, D. S. Nikolopoulos and Blesson Varghese, "DYVERSE: DYnamic VERtical Scaling in Multi-tenant Edge Environments," Future Generation Computer Systems, Vol. 108, 2020, pp. 598-612 [IF: 5.678].​

Blesson Varghese, N. Wang, D. Bermbach, C. -H. Hong, E. de Lara, W. Shi, and C. Stewart, "A Survey on Edge Performance Benchmarking," ACM Computing Surveys, 2020 [IF: 7.990]

L. Lockhart, P. Harvey, P. Imai, P. Willis, and Blesson Varghese, "Scission: Performance-driven and Context-aware Cloud-Edge Distribution of Deep Neural Networks," Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 2020, pp. 257-268. 

A. Madej, N. Wang, N. Athanasopoulos, R. Ranjan, and Blesson Varghese, "Priority-based Fair Scheduling in Edge Computing," IEEE International Conference on Fog and Edge Computing (ICFEC), 2020, pp. 39-48.

A. A. Majeed, P. Kilpatrick, I. Spence, and Blesson Varghese, "Modelling Fog Offloading Performance," IEEE International Conference on Fog and Edge Computing (ICFEC), 2020, pp. 29-38.

K. Chen, P. Kilpatrick, D. S. Nikolopoulos and Blesson Varghese, "Cross Architectural Power Modelling," IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2020.

K. Alwasel, D. N. Jha, E. Hernandez, D. Puthal, M. Barika, Blesson Varghese, S. Garg, P. James, A. Zomaya, G. Morgan, and R. Ranjan, "IoTSim-SDWAN: A Simulation Framework for Interconnecting Distributed Datacenters over Software-Defined Wide Area Network (SD-WAN)," Journal of Parallel and Distributed Systems, 2020 [IF: 2.157].

H. Mehta, P. Harvey, O. Rana, R. Buyya, and Blesson Varghese, "WattsApp: Power-Aware Container Scheduling," Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 2020, pp. 79-90.

A. Dhillon, A. Singh, H. Vohra, C. Ellis, Blesson Varghese and S. S. Gill, “IoTPulse: Machine Learning-based Enterprise Health Information System to Predict Alcohol Addiction in Punjab (India) Using IoT and Fog Computing,” Enterprise Information Systems, 2020 [IF: 2.145].

J. McChesney, N. Wang, A. Tanwer, E. de Lara, and Blesson Varghese, "DeFog: Fog Computing Benchmarks," ACM/IEEE International Symposium on Edge Computing, 2019. ​

Blesson Varghese, P. Leitner, S. Ray, K. Chard, A. Barker, Y. Elkhatib, H. Herry, C. -H. Hong, J. Singer, P. Tso, E. Yoneki and M. -F. Zhani, "Cloud Futurology," Vol. 52, Issue 9, Computer, 2019. [IF: 1.94]​

C.-H. Hong and Blesson Varghese, "Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure and Algorithms ," ACM Computing Surveys (CSUR), Vol. 52, Issue 5, 2019. [IF: 6.748] 

A. A. Majeed, P. Kilpatrick, I. Spence and B. Varghese, "Performance Estimation of Container-Based Cloud-to-Fog Offloading​," 12th IEEE/ACM International Conference on Utility and Cloud Computing Doctoral Symposium, 2019. ​

Blesson Varghese, S. Ray, B. Gohil and S. Vega, "Research Challenges in Query Processing and Data Analytics on the Edge," 29th Annual International Conference on Computer Science and Software Engineering (IBM CASCON), 2019​

Blesson Varghese and R. Buyya, "Next Generation Cloud Computing: New Trends and Research Directions," Future Generation Computer Systems (FGCS), Vol. 79, Part 3, 2018, pp. 849-861. [IF: 4.787]​​

R. Buyya, S. Srirama, G. Casale, R. Calheiros, Y. Simhan, Blesson Varghese, E. Gelenbe, B. Javadi, L. M. Vaquero, M. A. S. Netto, A. N. Toosi, M. A. Rodriguez, I. M. Llorente, S. D. C. D. Vimercati, P. Samarati, D. Milojicic, C. Varela, R. Bahsoon, M. D. D. Assuncao, O. Rana, W. Zhou, H. Jin, W. Gentzsch, A. Zomaya, and H. Shen, “A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade,” ACM Computing Surveys (CSUR), Volume 51 Issue 5, Article No. 1052018. [IF: 6.748]​

Blesson Varghese, C. Reano and F. Silla, "Accelerator Virtualization in Fog Computing: Moving from the Cloud to the Edge," IEEE Cloud Computing, Volume 5, Issue 6, 2018, pp. 28-37. [IF: 2.912]​

Blesson Varghese, M. Villari, O. Rana, P. James, T. Shah, M. Fazio, and R. Ranjan, “Realizing Edge Marketplaces: Challenges and Opportunities,”  IEEE Cloud Computing, Volume 5, Issue 6, 2018, pp. 9-20. [IF: 2.912]​

L. Thai, Blesson Varghese and A. Barker, "A Survey and Taxonomy of Resource Optimisation for Executing Bag-of-Task Applications on Public Clouds," Future Generation Computer Systems (FGCS), Vol. 82, 2018, pp. 1-11. [IF: 4.787]​

C. Baktir, C. Sonmez, C. Ersoy, A. Ozgovde and Blesson Varghese, “Addressing the Challenges in Federating Edge Resources,” in Fog and Edge Computing: Principles and Paradigms, Editors: R. Buyya and S. Srirama, Wiley STM, 2018.​​

C. Reano, F. Silla, D. S. Nikolopoulos and Blesson Varghese, "Intra-node Memory Safe GPU Co-Scheduling," IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2017. [IF: 4.181]​

N. Wang, Blesson Varghese, M. Matthaiou and D. S. Nikolopoulos, "ENORM: A Framework For Edge NOde Resource Management," IEEE Transactions on Services Computing (IEEE TSC), 2017. [IF: 3.520]​​​

Blesson Varghese, N. Wang, J. Li and D. S. Nikolopoulos, "Edge-as-a-Service: Towards Distributed Cloud Architectures," Proceedings of the International Conference on Parallel Computing (ParCo), 2017.

K. Chen, Blesson Varghese, P. Kilpatrick and D. S. Nikolopoulos, "Power Modelling for Heterogeneous Cloud-Edge Data Centers," Proceedings of the International Conference on Parallel Computing (ParCo), 2017.​

S. Ceesay, A. Barker and Blesson Varghese, "Plug and Play Bench: Simplifying Big Data Benchmarking Using Containers," Proceedings of the IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications in conjunction with IEEE BigData, 2017

Blesson Varghese, O. Akgun, I. Miguel, L. Thai and A. Barker, “Cloud Benchmarking for Maximising Application Performance,” IEEE Transactions on Cloud Computing (IEEE TCC), 2016. [IF: 7.928]​

J. Prades, Blesson Varghese, C. Reano and F. Silla, “Multi-tenant Virtual GPUs,” Journal of Parallel and Distributed Computing (JPDC), 2016. [IF: 1.320]​

Blesson Varghese, N. Wang, S. Barbhuiya, P. Kilpatrick and D. S. Nikolopoulos, "Challenges and Opportunities in Edge Computing", IEEE International Conference on Smart Cloud (SmartCloud), 2016. Acceptance Rate: 24%​​

Blesson Varghese, L. Subba, L. Thai and A. Barker, “DocLite: Docker Container-Based Cloud Benchmarking,” IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (IEEE/ACM CCGrid), 2016. Acceptance Rate: 20%​

Blesson Varghese, L. Subba, L. Thai and A. Barker, “Container-based Cloud Virtual Machine Benchmarking”, IEEE International Conference on Cloud Engineering (IEEE IC2E), 2016. Acceptance Rate: 23%​

L. Thai, Blesson Varghese and A. Barker, “Algorithms for Optimising Heterogeneous Cloud Virtual Machine Clusters,” IEEE International Conference on Cloud Computing Technology (IEEE CloudCom), 2016. Acceptance rate: 26%​

N. Wang, Blesson Varghese and P. D. Donnelly, “A Machine Learning Analysis of Twitter Sentiment to the Sandy Hook Shootings,” IEEE International Conference on eScience (IEEE eScience), 2016.​​

L. Thai, Blesson Varghese and A. Barker, "Minimising the Execution of Unknown Bag-of-Task Jobs with Deadlines on the Cloud", 7th International Workshop on Data-intensive Distributed Computing (DIDC), in conjunction with the 25th International ACM Symposium on High Performance Parallel and Distributed Computing (ACM HPDC), 2016.

Blesson Varghese, I. Patel and A. Barker, "RBioCloud: A Light-weight Framework for Bioconductor and R-based Jobs on the Cloud", IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume 12, Issue 4, 2015, pp.871-878. [IF: 1.616]​

Blesson Varghese, "The Hardware Acceleration Debate: A Financial Risk Case Study Using Many-core Computing", Computers and Electrical Engineering, 2015. [IF: 1.008]​

N. Burke, A. Rau-Chaplin and Blesson Varghese, "Computing Probable Maximum Loss in Catastrophe Reinsurance Portfolios on Multi-Core and Many-Core Architectures", Concurrency and Computation: Practice and Experience, 2015. [IF: 1.000]​

Blesson Varghese, J. Prades, C. Reano and F. Silla, “Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application,” IEEE International Conference on eScience (IEEE eScience), 2015. Acceptance rate: 25%​

L. Thai, Blesson Varghese and A. Barker, “Budget Constrained Execution of Multiple Bag-of-Tasks Applications on the Cloud,” IEEE International Conference on Cloud Computing (IEEE CLOUD), 2015. Acceptance rate: 15%​

J. Wetter, O. Akgun, A. Barker, M. Dominik, I. Miguel and Blesson Varghese, “Cloud-based e-Infrastructure for Scheduling Astronomical Observations,” IEEE International Conference on eScience (IEEE eScience), 2015. Acceptance rate: 25%​

L. Thai, Blesson Varghese and A. Barker, “Executing Bag of Distributed Tasks on Virtually Unlimited Cloud Resources,” International Conference on Cloud Computing and Services Science (CLOSER), 2015. Acceptance rate: 15%​

A. Barker, Blesson Varghese and L. Thai, "Cloud Services Brokerage: A Survey and Research Roadmap", IEEE International Conference on Cloud Computing (IEEE CLOUD), 2015.​

L. Thai, Blesson Varghese and A. Barker, "Task Scheduling on the Cloud with Hard Constraints", Visionary Track of the IEEE 11th World Congress on Services (IEEE SERVICES), 2015.

Blesson Varghese, G. T. McKee and V. Alexandrov, "Automating Fault Tolerance in High-Performance Computational Biological Jobs using Multi-Agent Approaches", Computers in Biology and Medicine, Vol. 48, 2014, pp. 28-41. [IF: 1.359]​

Blesson Varghese and A. Barker, "Are Clouds Ready to Accelerate Ad hoc Financial Simulations?" International Symposium on Big Data Computing (BDC), in conjunction with the 7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014), London, UK, 2014. Acceptance rate: 22%. [Best Paper Award Nominee]​

Blesson Varghese, O. Akgun, I. Miguel, L. Thai and A. Barker, "Cloud Benchmarking for Performance," 6th IEEE International Conference on Cloud Computing Technology (IEEE CloudCom), Singapore, 2014. Acceptance rate: 18%​

L. Thai, Blesson Varghese and A. Barker, "Executing Bag of Distributed Tasks on the Cloud: Investigating the Trade-offs Between Performance and Cost," 6th IEEE International Conference on Cloud Computing Technology (IEEE CloudCom), Singapore, 2014. Acceptance rate: 18%​

A. Barker, Blesson Varghese, J. S. Ward and I. Sommerville, "Academic Cloud Computing Research: Five Pitfalls and Five Opportunities," Proceedings of the 6th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), USA, 2014. Acceptance rate: 30%​

L. Thai, A. Barker, Blesson Varghese, O. Akgun and I. Miguel, "Optimal Deployment of Geographically Distributed Workflow Engines on the Cloud," Workshop of the 6th IEEE International Conference on Cloud Computing Technology (IEEE CloudCom), Singapore, 2014.​

M. A. Saleem, Blesson Varghese and A. Barker, "BigExcel: A Web-Based Framework for Exploring Big Data in Social Sciences," Big Humanities Workshop of the IEEE International Conference on Big Data (IEEE BigData), Washington DC, USA, 2014.

A. Astoul, C. Filliter, E. Mason, A. Rau-Chaplin, K. Shridhar, Blesson Varghese and N. Varshney, "Developing and Testing the Automated Post-Event Earthquake Loss Estimation and Visualisation (APE-ELEV) Technique," Bulletin of Earthquake Engineering, August 2013. [IF: 1.560]

​I. Patel, A. Rau-Chaplin and Blesson Varghese, "Accelerating R-based Analytics on the Cloud," Concurrency and Computation: Practice and Experience, May 2013. [IF: 0.845]​

A. Rau-Chaplin, Blesson Varghese, D. Wilson, Z. Yao, and N. Zeh, "QuPARA: Query-Driven Large-Scale Portfolio Aggregate Risk Analysis on MapReduce," Proceedings of the IEEE International Conference on Big Data (IEEE BigData), Santa Clara, USA, 2013. Acceptance rate: 20%​

A. Bahl, O. Baltzer, A. Rau-Chaplin, Blesson Varghese and A. Whiteway, "Achieving Speedup in Real-time Aggregate Risk Analysis using Multiple GPUs," Proceedings of the 42nd International Conference on Parallel Processing (ICPP), Lyon, France, 2013.​

V. D. Nguyen, Blesson Varghese and A. Barker, "Royal Birth of 2013: Analysing and Visualising Public Sentiment in the UK Using Twitter," Workshop Proceedings of the IEEE International Conference on Big Data (IEEE BigData), Santa Clara, USA, 2013.​

Blesson Varghese and A. Rau-Chaplin, "Accounting for Secondary Uncertainty: Efficient Computation of Portfolio Risk Measures on Multi and Many Core Architectures," Workshop Proceedings of the International Conference of High Performance Computing, Networking, Storage and Analysis (SC), Denver, USA, 2013.​

A. Rau-Chaplin, Blesson Varghese and Z. Yao, "High Performance Risk Aggregation: Addressing the Data Processing Challenge the Hadoop MapReduce Way," Workshop Proceedings of the 22nd International ACM Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC), New York, USA, 2013.

A. Bahl, O. Baltzer, A. Rau-Chaplin and Blesson Varghese, "Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk", Workshop Proceedings of the International Conference of High Performance Computing, Networking, Storage and Analysis (SC), 2012.​

Blesson Varghese and A. Rau-Chaplin, "Data Challenges in High-Performance Risk Analytics", Workshop Proceedings of the International Conference of High Performance Computing, Networking, Storage and Analysis (SC), 2012.​

I. Patel, A. Rau-Chaplin and Blesson Varghese, "A Platform for Parallel R-based Analytics on Cloud Infrastructure", Proceedings of the 41st International Conference on Parallel Processing Workshops (ICPPW), 2012.