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ORCIDBlesson Varghese
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- affiliation: Queen's University Belfast, UK
- affiliation: University of St Andrews, UK
- affiliation (PhD 2011): University of Reading, UK
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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]