default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBlesson Varghese
Person information
- affiliation: Queen's University Belfast, UK
- affiliation: University of St Andrews, UK
- affiliation (PhD 2011): University of Reading, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j43]Sayed Chhattan Shah, Taehong Kim, Blesson Varghese, Zhi Wang:
Special Issue on Intelligent Architectures and Platforms for Private Edge Cloud Systems. Future Gener. Comput. Syst. 164: 107605 (2025)- 2024
- [j42]Carlos Reaño
, Federico Silla, Blesson Varghese:
Accelerator virtualization. Concurr. Comput. Pract. Exp. 36(10) (2024) - [j41]Bailey J. Eccles, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
DNNShifter: An efficient DNN pruning system for edge computing. Future Gener. Comput. Syst. 152: 43-54 (2024) - [j40]Tek Raj Chhetri, Chinmaya Kumar Dehury, Blesson Varghese, Anna Fensel, Satish Narayana Srirama, Rance J. DeLong:
Enabling privacy-aware interoperable and quality IoT data sharing with context. Future Gener. Comput. Syst. 157: 164-179 (2024) - [j39]Zihan Zhang, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
PiPar: Pipeline parallelism for collaborative machine learning. J. Parallel Distributed Comput. 193: 104947 (2024) - [j38]Hyunho Ahn, Munkyu Lee, Sihoon Seong, Gap-Joo Na, In-Geol Chun, Blesson Varghese, Cheol-Ho Hong:
ScissionLite: Accelerating Distributed Deep Learning With Lightweight Data Compression for IIoT. IEEE Trans. Ind. Informatics 20(10): 11950-11960 (2024) - [j37]Di Wu, Rehmat Ullah, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning. IEEE Trans. Parallel Distributed Syst. 35(3): 377-390 (2024) - [c62]Bailey J. Eccles, Leon Wong, Blesson Varghese:
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization. CCGrid 2024: 317-326 - [c61]Dhananjay Saikumar, Blesson Varghese:
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning. EuroSys 2024: 999-1015 - [i75]Dhananjay Saikumar, Blesson Varghese:
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning. CoRR abs/2402.14139 (2024) - [i74]Dhananjay Saikumar, Blesson Varghese:
DRIVE: Dual Gradient-Based Rapid Iterative Pruning. CoRR abs/2404.03687 (2024) - [i73]Bailey J. Eccles, Leon Wong, Blesson Varghese:
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization. CoRR abs/2404.16877 (2024) - 2023
- [j36]Banoth Ravi, Blesson Varghese, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar, Chinmaya Kumar Dehury, Satish Narayana Srirama:
Stochastic Modeling for Intelligent Software-Defined Vehicular Networks: A Survey. Comput. 12(8): 162 (2023) - [j35]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:
AI-based fog and edge computing: A systematic review, taxonomy and future directions. Internet Things 21: 100674 (2023) - [j34]Jason Kennedy, Vishal Sharma, Blesson Varghese, Carlos Reaño:
Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems. IEEE Trans. Parallel Distributed Syst. 34(7): 2107-2123 (2023) - [c60]JunKyu Lee, Blesson Varghese, Hans Vandierendonck:
ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy. WACV 2023: 6394-6403 - [e4]Blesson Varghese, Cristina L. Abad, Yogesh Simmhan, Khalid Elgazzar, Stefan Schulte, Abhinandan S. Prasad, Lorenzo Carnevale:
7th IEEE International Conference on Fog and Edge Computing, ICFEC 2023, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-2288-0 [contents] - [i72]Zihan Zhang, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
PipeLearn: Pipeline Parallelism for Collaborative Machine Learning. CoRR abs/2302.12803 (2023) - [i71]Di Wu, Rehmat Ullah, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
Communication Efficient DNN Partitioning-based Federated Learning. CoRR abs/2304.05495 (2023) - [i70]Bailey J. Eccles, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
DNNShifter: An Efficient DNN Pruning System for Edge Computing. CoRR abs/2309.06973 (2023) - 2022
- [j33]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:
Roadmap for edge AI: a Dagstuhl perspective. Comput. Commun. Rev. 52(1): 28-33 (2022) - [j32]Vishal Sharma, Blesson Varghese, John McAllister, Saraju P. Mohanty:
Abusive Adversaries in 5G and Beyond IoT. IEEE Consumer Electron. Mag. 11(4): 11-20 (2022) - [j31]Rehmat Ullah, Di Wu, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
FedFly: Toward Migration in Edge-Based Distributed Federated Learning. IEEE Commun. Mag. 60(11): 42-48 (2022) - [j30]Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal de Lara, Weisong Shi, Christopher Stewart:
A Survey on Edge Performance Benchmarking. ACM Comput. Surv. 54(3): 66:1-66:33 (2022) - [j29]Arwinder Dhillon, Ashima Singh, Harpreet Vohra, Caroline Ellis, Blesson Varghese, Sukhpal Singh Gill:
IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing. Enterp. Inf. Syst. 16(7) (2022) - [j28]Di Wu, Rehmat Ullah, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning. IEEE Internet Things J. 9(21): 20889-20901 (2022) - [j27]Nan Wang, Blesson Varghese:
Context-aware distribution of fog applications using deep reinforcement learning. J. Netw. Comput. Appl. 203: 103354 (2022) - [c59]Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
CONTINUER: Maintaining Distributed DNN Services During Edge Failures. EDGE 2022: 143-152 - [c58]Erin Mahan, Nathan Dunkelberger, Jeonghoon Oh, Madison Simmons, Blesson Varghese, Dimitry Sayenko, Marcia K. O'Malley:
Measuring Torque Production with a Robotic Exoskeleton during Cervical Transcutaneous Spinal Stimulation. ICORR 2022: 1-5 - [c57]Gary Cleland, Di Wu, Rehmat Ullah, Blesson Varghese:
FedComm: Understanding Communication Protocols for Edge-based Federated Learning. UCC 2022: 71-81 - [e3]Lena Mashayekhy, Stefan Schulte, Valeria Cardellini, Burak Kantarci, Yogesh Simmhan, Blesson Varghese:
6th IEEE International Conference on Fog and Edge Computing, ICFEC 2022, Messina, Italy, May 16-19, 2022. IEEE 2022, ISBN 978-1-6654-9524-0 [contents] - [i69]Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
CONTINUER: Maintaining Distributed DNN Services During Edge Failures. CoRR abs/2206.05267 (2022) - [i68]Gary Cleland, Di Wu, Rehmat Ullah, Blesson Varghese:
FedComm: Understanding Communication Protocols for Edge-based Federated Learning. CoRR abs/2208.08764 (2022) - [i67]JunKyu Lee, Blesson Varghese, Hans Vandierendonck:
ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy. CoRR abs/2210.16083 (2022) - [i66]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:
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions. CoRR abs/2212.04645 (2022) - 2021
- [j26]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:
Revisiting the Arguments for Edge Computing Research. IEEE Internet Comput. 25(5): 36-42 (2021) - [j25]Panos Patros, Josef Spillner, Alessandro V. Papadopoulos, Blesson Varghese, Omer F. Rana, Schahram Dustdar:
Toward Sustainable Serverless Computing. IEEE Internet Comput. 25(6): 42-50 (2021) - [j24]Carlos Reaño, Federico Silla, Blesson Varghese:
Editorial. J. Parallel Distributed Comput. 147: 268-269 (2021) - [c56]Francis McNamee, Schahram Dustdar, Peter Kilpatrick, Weisong Shi, Ivor T. A. Spence, Blesson Varghese:
The Case for Adaptive Deep Neural Networks in Edge Computing. CLOUD 2021: 43-52 - [c55]Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs. IC2E 2021: 118-125 - [c54]Jason Kennedy, Blesson Varghese, Carlos Reaño:
AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries. ICFEC 2021: 37-44 - [c53]JunKyu Lee, Blesson Varghese, Roger F. Woods, Hans Vandierendonck:
TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge. ICFEC 2021: 53-60 - [c52]Kevin Wallis, Christoph Reich, Blesson Varghese, Christian Schindelhauer:
QUDOS: quorum-based cloud-edge distributed DNNs for security enhanced industry 4.0. UCC 2021: 5:1-5:10 - [e2]Yogesh L. Simmhan, Blesson Varghese, Lena Mashayekhy, Rajkumar Buyya, Omer F. Rana:
5th IEEE International Conference on Fog and Edge Computing, ICFEC 2021, Virtual Event, May 10-13, 2021. IEEE 2021, ISBN 978-1-6654-0291-0 [contents] - [i65]Jason Kennedy, Blesson Varghese, Carlos Reaño:
AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries. CoRR abs/2103.04930 (2021) - [i64]Hyunho Ahn, Munkyu Lee, Cheol-Ho Hong, Blesson Varghese:
ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer. CoRR abs/2105.02019 (2021) - [i63]JunKyu Lee, Blesson Varghese, Roger F. Woods, Hans Vandierendonck:
TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge. CoRR abs/2105.08668 (2021) - [i62]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:
Revisiting the Arguments for Edge Computing Research. CoRR abs/2106.12224 (2021) - [i61]Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs. CoRR abs/2106.15689 (2021) - [i60]Di Wu, Rehmat Ullah, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning. CoRR abs/2107.04271 (2021) - [i59]Rehmat Ullah, Di Wu, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
FedFly: Towards Migration in Edge-based Distributed Federated Learning. CoRR abs/2111.01516 (2021) - [i58]Kevin Wallis, Christoph Reich, Blesson Varghese, Christian Schindelhauer:
QUDOS: Quorum-Based Cloud-Edge Distributed DNNs for Security Enhanced Industry 4.0. CoRR abs/2111.05190 (2021) - [i57]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:
Roadmap for Edge AI: A Dagstuhl Perspective. CoRR abs/2112.00616 (2021) - 2020
- [j23]Nan Wang, Michail Matthaiou, Dimitrios S. Nikolopoulos, Blesson Varghese:
DYVERSE: DYnamic VERtical Scaling in multi-tenant Edge environments. Future Gener. Comput. Syst. 108: 598-612 (2020) - [j22]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:
IoTSim-SDWAN: A simulation framework for interconnecting distributed datacenters over Software-Defined Wide Area Network (SD-WAN). J. Parallel Distributed Comput. 143: 17-35 (2020) - [j21]Blesson Varghese, Marco A. S. Netto, Ignacio Martín Llorente, Rajkumar Buyya:
New generation cloud computing. Softw. Pract. Exp. 50(6): 803-804 (2020) - [j20]Nan Wang, Blesson Varghese, Michail Matthaiou, Dimitrios S. Nikolopoulos:
ENORM: A Framework For Edge NOde Resource Management. IEEE Trans. Serv. Comput. 13(6): 1086-1099 (2020) - [c51]Kai Chen, Peter Kilpatrick, Dimitrios S. Nikolopoulos, Blesson Varghese:
Cross Architectural Power Modelling. CCGRID 2020: 390-399 - [c50]Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
Modelling Fog Offloading Performance. ICFEC 2020: 29-38 - [c49]Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos, Rajiv Ranjan, Blesson Varghese:
Priority-based Fair Scheduling in Edge Computing. ICFEC 2020: 39-48 - [c48]Hemant Kumar Mehta, Paul Harvey, Omer F. Rana, Rajkumar Buyya, Blesson Varghese:
WattsApp: Power-Aware Container Scheduling. UCC 2020: 79-90 - [c47]Luke Lockhart, Paul Harvey, Pierre Imai, Peter Willis, Blesson Varghese:
Scission: Performance-driven and Context-aware Cloud-Edge Distribution of Deep Neural Networks. UCC 2020: 257-268 - [i56]Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos, Rajiv Ranjan, Blesson Varghese:
Priority-based Fair Scheduling in Edge Computing. CoRR abs/2001.09070 (2020) - [i55]Nan Wang, Blesson Varghese:
Context-aware Distribution of Fog Applications Using Deep Reinforcement Learning. CoRR abs/2001.09228 (2020) - [i54]Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
Modelling Fog Offloading Performance. CoRR abs/2002.05531 (2020) - [i53]Kai Chen, Peter Kilpatrick, Dimitrios S. Nikolopoulos, Blesson Varghese:
Cross Architectural Power Modelling. CoRR abs/2003.08305 (2020) - [i52]Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal de Lara, Weisong Shi, Christopher Stewart:
A Survey on Edge Benchmarking. CoRR abs/2004.11725 (2020) - [i51]Hemant Kumar Mehta, Paul Harvey, Omer F. Rana, Rajkumar Buyya, Blesson Varghese:
WattsApp: Power-Aware Container Scheduling. CoRR abs/2006.00342 (2020) - [i50]Francis McNamee, Schahram Dustdar, Peter Kilpatrick, Weisong Shi, Ivor T. A. Spence, Blesson Varghese:
A Case For Adaptive Deep Neural Networks in Edge Computing. CoRR abs/2008.01814 (2020) - [i49]Luke Lockhart, Paul Harvey, Pierre Imai, Peter Willis, Blesson Varghese:
Scission: Context-aware and Performance-driven Edge-based Distributed Deep Neural Networks. CoRR abs/2008.03523 (2020)
2010 – 2019
- 2019
- [j19]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:
Cloud Futurology. Computer 52(9): 68-77 (2019) - [j18]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:
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. ACM Comput. Surv. 51(5): 105:1-105:38 (2019) - [j17]Cheol-Ho Hong, Blesson Varghese:
Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms. ACM Comput. Surv. 52(5): 97:1-97:37 (2019) - [j16]Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai, Adam Barker:
Cloud Benchmarking for Maximising Performance of Scientific Applications. IEEE Trans. Cloud Comput. 7(1): 170-182 (2019) - [c46]Blesson Varghese, Suprio Ray, Bhavesh N. Gohil, Sergio Vega:
Research challenges in query processing and data analytics on the edge. CASCON 2019: 317-322 - [c45]Jonathan McChesney, Nan Wang, Ashish Tanwer, Eyal de Lara, Blesson Varghese:
DeFog: fog computing benchmarks. SEC 2019: 47-58 - [c44]Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
Performance Estimation of Container-Based Cloud-to-Fog Offloading. UCC Companion 2019: 151-156 - [p1]Ahmet Cihat Baktir, Cagatay Sonmez, Cem Ersoy, Atay Ozgovde, Blesson Varghese:
Addressing the Challenges in Federating Edge Resources. Fog and Edge Computing 2019: 25-49 - [e1]Kenneth Johnson, Josef Spillner, Xinghui Zhao, Olga Datskova, Blesson Varghese:
Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2019, Auckland, New Zealand, December 2-5, 2019. ACM 2019, ISBN 978-1-4503-7016-5 [contents] - [i48]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:
Cloud Futurology. CoRR abs/1902.03656 (2019) - [i47]Jonathan McChesney, Nan Wang, Ashish Tanwer, Eyal de Lara, Blesson Varghese:
DeFog: Fog Computing Benchmarks. CoRR abs/1907.10890 (2019) - [i46]Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
Performance Estimation of Container-Based Cloud-to-Fog Offloading. CoRR abs/1909.04945 (2019) - 2018
- [j15]Blesson Varghese, Massimo Villari, Omer F. Rana, Philip James, Tejal Shah, Maria Fazio, Rajiv Ranjan:
Realizing Edge Marketplaces: Challenges and Opportunities. IEEE Cloud Comput. 5(6): 9-20 (2018) - [j14]Blesson Varghese, Carlos Reaño, Federico Silla:
Accelerator Virtualization in Fog Computing: Moving from the Cloud to the Edge. IEEE Cloud Comput. 5(6): 28-37 (2018) - [j13]Blesson Varghese, Rajkumar Buyya:
Next generation cloud computing: New trends and research directions. Future Gener. Comput. Syst. 79: 849-861 (2018) - [j12]Long Thai, Blesson Varghese, Adam Barker:
A survey and taxonomy of resource optimisation for executing bag-of-task applications on public clouds. Future Gener. Comput. Syst. 82: 1-11 (2018) - [j11]Carlos Reaño, Federico Silla, Dimitrios S. Nikolopoulos, Blesson Varghese:
Intra-Node Memory Safe GPU Co-Scheduling. IEEE Trans. Parallel Distributed Syst. 29(5): 1089-1102 (2018) - [i45]Ahmet Cihat Baktir, Cagatay Sonmez, Cem Ersoy, Atay Ozgovde, Blesson Varghese:
Addressing the Challenges in Federating Edge Resources. CoRR abs/1803.05255 (2018) - [i44]Cheol-Ho Hong, Blesson Varghese:
Resource Management in Fog/Edge Computing: A Survey. CoRR abs/1810.00305 (2018) - [i43]Nan Wang, Michail Matthaiou, Dimitrios S. Nikolopoulos, Blesson Varghese:
DYVERSE: DYnamic VERtical Scaling in Multi-tenant Edge Environments. CoRR abs/1810.04608 (2018) - [i42]Blesson Varghese, Carlos Reaño, Federico Silla:
Accelerator Virtualization in Fog Computing: Moving From the Cloud to the Edge. CoRR abs/1810.06046 (2018) - [i41]Blesson Varghese, Massimo Villari, Omer F. Rana, Philip James, Tejal Shah, Maria Fazio, Rajiv Ranjan:
Realizing Edge Marketplaces: Challenges and Opportunities. CoRR abs/1812.01344 (2018) - 2017
- [j10]Javier Prades, Blesson Varghese, Carlos Reaño, Federico Silla:
Multi-tenant virtual GPUs for optimising performance of a financial risk application. J. Parallel Distributed Comput. 108: 28-44 (2017) - [c43]Sheriffo Ceesay, Adam Barker, Blesson Varghese:
Plug and play bench: Simplifying big data benchmarking using containers. IEEE BigData 2017: 2821-2828 - [c42]Blesson Varghese, Nan Wang, Jianyu Li, Dimitrios S. Nikolopoulos:
Edge-as-a-Service: Towards Distributed Cloud Architectures. PARCO 2017: 784-793 - [c41]Kai Chen, Blesson Varghese, Peter Kilpatrick, Dimitrios S. Nikolopoulos:
Power Modelling for Heterogeneous Cloud-Edge Data Centers. PARCO 2017: 804-813 - [i40]Blesson Varghese, Nan Wang, Dimitrios S. Nikolopoulos, Rajkumar Buyya:
Feasibility of Fog Computing. CoRR abs/1701.05451 (2017) - [i39]Blesson Varghese, Rajkumar Buyya:
Next Generation Cloud Computing: New Trends and Research Directions. CoRR abs/1707.07452 (2017) - [i38]Nan Wang, Blesson Varghese, Michail Matthaiou, Dimitrios S. Nikolopoulos:
ENORM: A Framework For Edge NOde Resource Management. CoRR abs/1709.04061 (2017) - [i37]Blesson Varghese, Nan Wang, Jianyu Li, Dimitrios S. Nikolopoulos:
Edge-as-a-Service: Towards Distributed Cloud Architectures. CoRR abs/1710.10090 (2017) - [i36]Kai Chen, Blesson Varghese, Peter Kilpatrick, Dimitrios S. Nikolopoulos:
Power Modelling for Heterogeneous Cloud-Edge Data Centers. CoRR abs/1710.10325 (2017) - [i35]Long Thai, Blesson Varghese, Adam Barker:
A Survey and Taxonomy of Resource Optimisation for Executing Bag-of-Task Applications on Public Clouds. CoRR abs/1711.08973 (2017) - [i34]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:
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. CoRR abs/1711.09123 (2017) - [i33]Sheriffo Ceesay, Adam Barker, Blesson Varghese:
Plug and Play Bench: Simplifying Big Data Benchmarking Using Containers. CoRR abs/1711.09138 (2017) - [i32]Carlos Reaño, Federico Silla, Dimitrios S. Nikolopoulos, Blesson Varghese:
Intra-node Memory Safe GPU Co-Scheduling. CoRR abs/1712.04495 (2017) - 2016
- [j9]Neil Burke, Andrew Rau-Chaplin, Blesson Varghese:
Computing probable maximum loss in catastrophe reinsurance portfolios on multi-core and many-core architectures. Concurr. Comput. Pract. Exp. 28(3): 836-847 (2016) - [j8]Ishan Patel, Andrew Rau-Chaplin, Blesson Varghese:
Accelerating R-based analytics on the cloud. Concurr. Comput. Pract. Exp. 28(4): 977-994 (2016) - [c40]Blesson Varghese, Lawan Thamsuhang Subba, Long Thai, Adam Barker:
DocLite: A Docker-Based Lightweight Cloud Benchmarking Tool. CCGrid 2016: 213-222 - [c39]Long Thai, Blesson Varghese, Adam Barker:
Algorithms for Optimising Heterogeneous Cloud Virtual Machine Clusters. CloudCom 2016: 118-125 - [c38]Nan Wang, Blesson Varghese, Peter D. Donnelly:
A machine learning analysis of Twitter sentiment to the Sandy Hook shootings. eScience 2016: 303-312 - [c37]Long Thai, Blesson Varghese, Adam Barker:
Minimising the Execution of Unknown Bag-of-Task Jobs with Deadlines on the Cloud. DIDC@HPDC 2016: 3-10 - [c36]Blesson Varghese, Lawan Thamsuhang Subba, Long Thai, Adam Barker:
Container-Based Cloud Virtual Machine Benchmarking. IC2E 2016: 192-201 - [c35]Blesson Varghese, Nan Wang, Sakil Barbhuiya, Peter Kilpatrick, Dimitrios S. Nikolopoulos:
Challenges and Opportunities in Edge Computing. SmartCloud 2016: 20-26 - [i31]Blesson Varghese, Lawan Thamsuhang Subba, Long Thai, Adam Barker:
Container-Based Cloud Virtual Machine Benchmarking. CoRR abs/1601.03872 (2016) - [i30]Blesson Varghese, Lawan Thamsuhang Subba, Long Thai, Adam Barker:
DocLite: A Docker-Based Lightweight Cloud Benchmarking Tool. CoRR abs/1603.07357 (2016) - [i29]Javier Prades, Blesson Varghese, Carlos Reaño, Federico Silla:
Multi-Tenant Virtual GPUs for Optimising Performance of a Financial Risk Application. CoRR abs/1606.04473 (2016) - [i28]Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai, Adam Barker:
Cloud Benchmarking For Maximising Performance of Scientific Applications. CoRR abs/1608.00406 (2016) - [i27]Nan Wang, Blesson Varghese, Peter D. Donnelly:
A Machine Learning Analysis of Twitter Sentiment to the Sandy Hook Shootings. CoRR abs/1609.00536 (2016) - [i26]Blesson Varghese, Nan Wang, Sakil Barbhuiya, Peter Kilpatrick, Dimitrios S. Nikolopoulos:
Challenges and Opportunities in Edge Computing. CoRR abs/1609.01967 (2016) - 2015
- [j7]Blesson Varghese:
The hardware accelerator debate: A financial risk case study using many-core computing. Comput. Electr. Eng. 46: 157-175 (2015) - [j6]Blesson Varghese, Ishan Patel, Adam Barker:
RBioCloud: A Light-Weight Framework for Bioconductor and R-based Jobs on the Cloud. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 871-878 (2015) - [c34]Long Thai, Blesson Varghese, Adam Barker:
Budget Constrained Execution of Multiple Bag-of-Tasks Applications on the Cloud. CLOUD 2015: 975-980 - [c33]Adam Barker, Blesson Varghese, Long Thai:
Cloud Services Brokerage: A Survey and Research Roadmap. CLOUD 2015: 1029-1032 - [c32]Long Thai, Blesson Varghese, Adam Barker:
Executing Bag of Distributed Tasks on Virtually Unlimited Cloud Resources. CLOSER 2015: 373-380 - [c31]Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla:
Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application. e-Science 2015: 47-56 - [c30]James Wetter, Ozgur Akgun, Adam Barker, Martin Dominik, Ian Miguel, Blesson Varghese:
Cloud-based E-Infrastructure for Scheduling Astronomical Observations. e-Science 2015: 362-370 - [c29]Long Thai, Blesson Varghese, Adam Barker:
Task Scheduling on the Cloud with Hard Constraints. SERVICES 2015: 95-102 - [i25]Blesson Varghese:
The GPU vs Phi Debate: Risk Analytics Using Many-Core Computing. CoRR abs/1501.06326 (2015) - [i24]Adam Barker, Blesson Varghese, Long Thai:
Cloud Services Brokerage: A Survey and Research Roadmap. CoRR abs/1506.00485 (2015) - [i23]Long Thai, Blesson Varghese, Adam Barker:
Executing Bag of Distributed Tasks on Virtually Unlimited Cloud Resources. CoRR abs/1506.00590 (2015) - [i22]Long Thai, Blesson Varghese, Adam Barker:
Budget Constrained Execution of Multiple Bag-of-Tasks Applications on the Cloud. CoRR abs/1507.05467 (2015) - [i21]Long Thai, Blesson Varghese, Adam Barker:
Task Scheduling on the Cloud with Hard Constraints. CoRR abs/1507.05470 (2015) - [i20]Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla:
Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application. CoRR abs/1508.02558 (2015) - 2014
- [j5]Blesson Varghese, Gerard T. McKee, Vassil Alexandrov:
Automating fault tolerance in high-performance computational biological jobs using multi-agent approaches. Comput. Biol. Medicine 48: 28-41 (2014) - [c28]Blesson Varghese, Adam Barker:
Are Clouds Ready to Accelerate Ad Hoc Financial Simulations? BDC 2014: 54-63 - [c27]Muhammed Asif Saleem, Blesson Varghese, Adam Barker:
BigExcel: A web-based framework for exploring big data in social sciences. IEEE BigData 2014: 84-91 - [c26]Long Thai, Blesson Varghese, Adam Barker:
Executing Bag of Distributed Tasks on the Cloud: Investigating the Trade-Offs between Performance and Cost. CloudCom 2014: 400-407 - [c25]Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai, Adam Barker:
Cloud Benchmarking for Performance. CloudCom 2014: 535-540 - [c24]Long Thai, Adam Barker, Blesson Varghese, Ozgur Akgun, Ian Miguel:
Optimal Deployment of Geographically Distributed Workflow Engines on the Cloud. CloudCom 2014: 811-816 - [c23]Adam Barker, Blesson Varghese, Jonathan Stuart Ward, Ian Sommerville:
Academic Cloud Computing Research: Five Pitfalls and Five Opportunities. HotCloud 2014 - [i19]Blesson Varghese, Gerard T. McKee, Vassil Alexandrov:
Automating Fault Tolerance in High-Performance Computational Biological Jobs Using Multi-Agent Approaches. CoRR abs/1403.0500 (2014) - [i18]Adam Barker, Blesson Varghese, Jonathan Stuart Ward, Ian Sommerville:
Academic Cloud Computing Research: Five Pitfalls and Five Opportunities. CoRR abs/1406.4974 (2014) - [i17]Long Thai, Blesson Varghese, Adam Barker:
Executing Bag of Distributed Tasks on the Cloud: Investigating the Trade-offs Between Performance and Cost. CoRR abs/1410.8357 (2014) - [i16]Long Thai, Adam Barker, Blesson Varghese, Ozgur Akgun, Ian Miguel:
Optimal Deployment of Geographically Distributed Workflow Engines on the Cloud. CoRR abs/1410.8359 (2014) - [i15]Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai, Adam Barker:
Cloud Benchmarking for Performance. CoRR abs/1411.0912 (2014) - [i14]Muhammed Asif Saleem, Blesson Varghese, Adam Barker:
BigExcel: A Web-Based Framework for Exploring Big Data in Social Sciences. CoRR abs/1411.1215 (2014) - [i13]Blesson Varghese, Adam Barker:
Are Clouds Ready to Accelerate Ad hoc Financial Simulations? CoRR abs/1412.4556 (2014) - 2013
- [c22]Vu Dung Nguyen, Blesson Varghese, Adam Barker:
The royal birth of 2013: Analysing and visualising public sentiment in the UK using Twitter. IEEE BigData 2013: 46-54 - [c21]Andrew Rau-Chaplin, Blesson Varghese, Duane Wilson, Zhimin Yao, Norbert Zeh:
QuPARA: Query-driven large-scale portfolio aggregate risk analysis on MapReduce. IEEE BigData 2013: 703-709 - [c20]Anthony Astoul, Christopher Filliter, Andrew Rau-Chaplin, Kunal Shridhar, Blesson Varghese, Naman Varshney:
Risk Analytics for Estimating and Validating Magnitude of Earthquake Losses. DEXA Workshops 2013: 26-31 - [c19]Zhimin Yao, Blesson Varghese, Andrew Rau-Chaplin:
High performance risk aggregation: addressing the data processing challenge the hadoop mapreduce way. ScienceCloud@HPDC 2013: 53-60 - [c18]Andrew Rau-Chaplin, Blesson Varghese, Zhimin Yao:
A MapReduce Framework for Analysing Portfolios of Catastrophic Risk with Secondary Uncertainty. ICCS 2013: 2317-2326 - [c17]Aman K. Bahl, Oliver Baltzer, Andrew Rau-Chaplin, Blesson Varghese, Aaron Whiteway:
Achieving Speedup in Aggregate Risk Analysis Using Multiple GPUs. ICPP 2013: 909-916 - [c16]Blesson Varghese, Andrew Rau-Chaplin:
Accounting for secondary uncertainty: efficient computation of portfolio risk measures on multi and many core architectures. WHPCF@SC 2013: 3:1-3:10 - [i12]Anthony Astoul, Christopher Filliter, Eric Mason, Andrew Rau-Chaplin, Kunal Shridhar, Blesson Varghese, Naman Varshney:
Developing and Testing the Automated Post-Event Earthquake Loss Estimation and Visualisation (APE-ELEV) Technique. CoRR abs/1308.1846 (2013) - [i11]Vu Dung Nguyen, Blesson Varghese, Adam Barker:
The Royal Birth of 2013: Analysing and Visualising Public Sentiment in the UK Using Twitter. CoRR abs/1308.1847 (2013) - [i10]Ishan Patel, Blesson Varghese, Adam Barker:
RBioCloud: A Light-weight Framework for Bioconductor and R-based Jobs on the Cloud. CoRR abs/1308.2058 (2013) - [i9]Aman Kumar Bahl, Oliver Baltzer, Andrew Rau-Chaplin, Blesson Varghese:
Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk. CoRR abs/1308.2066 (2013) - [i8]Aman K. Bahl, Oliver Baltzer, Andrew Rau-Chaplin, Blesson Varghese, Aaron Whiteway:
Achieving Speedup in Aggregate Risk Analysis using Multiple GPUs. CoRR abs/1308.2572 (2013) - [i7]Ishan Patel, Andrew Rau-Chaplin, Blesson Varghese:
Accelerating R-based Analytics on the Cloud. CoRR abs/1308.2787 (2013) - [i6]Blesson Varghese, Gerard T. McKee, Vassil Alexandrov:
Can Agent Intelligence be used to Achieve Fault Tolerant Parallel Computing Systems? CoRR abs/1308.2872 (2013) - [i5]Andrew Rau-Chaplin, Blesson Varghese, Duane Wilson, Zhimin Yao, Norbert Zeh:
QuPARA: Query-Driven Large-Scale Portfolio Aggregate Risk Analysis on MapReduce. CoRR abs/1308.3615 (2013) - [i4]Blesson Varghese, Andrew Rau-Chaplin:
Accounting for Secondary Uncertainty: Efficient Computation of Portfolio Risk Measures on Multi and Many Core Architectures. CoRR abs/1310.2274 (2013) - [i3]Blesson Varghese, Gerard T. McKee:
A Mathematical Model, Implementation and Study of a Swarm System. CoRR abs/1310.2279 (2013) - [i2]Blesson Varghese, Andrew Rau-Chaplin:
Data Challenges in High-Performance Risk Analytics. CoRR abs/1311.5685 (2013) - [i1]Zhimin Yao, Blesson Varghese, Andrew Rau-Chaplin:
High Performance Risk Aggregation: Addressing the Data Processing Challenge the Hadoop MapReduce Way. CoRR abs/1311.5686 (2013) - 2012
- [c15]Eric Mason, Andrew Rau-Chaplin, Kunal Shridhar, Blesson Varghese, Naman Varshney:
Rapid Post-event Catastrophe Modelling and Visualization. DEXA Workshops 2012: 10-15 - [c14]Ishan Patel, Andrew Rau-Chaplin, Blesson Varghese:
A Platform for Parallel R-based Analytics on Cloud Infrastructure. ICPP Workshops 2012: 188-193 - [c13]Aman Kumar Bahl, Oliver Baltzer, Andrew Rau-Chaplin, Blesson Varghese:
Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk. SC Companion 2012: 1176-1184 - [c12]Blesson Varghese, Andrew Rau-Chaplin:
Data Challenges in High-Performance Risk Analytics. SC Companion 2012: 1312-1313 - [c11]Gerard T. McKee, Blesson Varghese:
Robotic Ecologies for Deep Space Outposts. SyRoCo 2012: 455-460 - 2011
- [b1]Blesson Varghese:
Swarm-array computing : a swarm robotics inspired approach to achieve automated fault tolerance in high-performance computing systems. University of Reading, UK, 2011 - [j4]Blesson Varghese, Gerard T. McKee, Vassil Alexandrov:
Can Agent Intelligence be Used to Achieve Fault Tolerant Parallel Computing Systems? Parallel Process. Lett. 21(4): 379-396 (2011) - 2010
- [j3]Blesson Varghese, Gerard T. McKee:
A mathematical model, implementation and study of a swarm system. Robotics Auton. Syst. 58(3): 287-294 (2010) - [j2]Blesson Varghese, Gerard T. McKee:
Exploring Carrier Agents in Swarm-Array Computing. Scalable Comput. Pract. Exp. 11(1) (2010) - [c10]Blesson Varghese, Gerard T. McKee, Vassil Alexandrov:
Intelligent Agents for Fault Tolerance: From Multi-agent Simulation to Cluster-Based Implementation. AINA Workshops 2010: 985-990 - [c9]Blesson Varghese, Gerard T. McKee, Vassil Alexandrov:
A Cluster-Based Implementation of a Fault Tolerant Parallel Reduction Algorithm Using Swarm-Array Computing. ICAS 2010: 30-36 - [c8]Blesson Varghese, Gerard T. McKee, Vassil Alexandrov:
An MPI-based implementation of intelligent agents on clusters. SpringSim 2010: 79 - [c7]Blesson Varghese, Gerard T. McKee, Vassil Alexandrov:
Implementing intelligent cores using processor virtualization for fault tolerance. ICCS 2010: 2197-2205
2000 – 2009
- 2009
- [j1]Blesson Varghese, Gerard T. McKee:
A review and implementation of swarm pattern formation and transformation models. Int. J. Intell. Comput. Cybern. 2(4): 786-817 (2009) - [c6]Blesson Varghese, Gerard T. McKee:
Can Space Applications Benefit from Intelligent Agents? Autonomics 2009: 192-202 - [c5]Blesson Varghese, Gerard T. McKee:
Modeling and Simulating a Mathematical Tool for Multi-robot Pattern Transformation. ICCMS 2009: 21-27 - [c4]Blesson Varghese, Gerard T. McKee:
Autonomous Execution of Tasks by Swarm Carrier Agents in Swarm-Array Computing. IDC 2009: 187-196 - [c3]Blesson Varghese, Gerard T. McKee:
Investigating feasible tools for swarm pattern transformation. ROBOCOMM 2009: 1-7 - [c2]Blesson Varghese, Gerard T. McKee:
Swarm pattern transformation methodologies. SIS 2009: 145-152 - 2008
- [c1]Blesson Varghese, Gerard T. McKee:
A swarm pattern transformation method based on macroscopic parameter operations. ROBIO 2008: 1164-1169
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-20 23:02 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
