Blesson Varghese

Concurr. Comput. Pract. Exp., 2024

NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning.

[BibT_eX]

[DOI]

Dhananjay Saikumar

Mohammad Sadegh Aslanpour

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023

Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., July, 2023

Stochastic Modeling for Intelligent Software-Defined Vehicular Networks: A Survey.

[BibT_eX]

[DOI]

Chinmaya Kumar Dehury

Satish Narayana Srirama

Comput., July, 2023

AI-based fog and edge computing: A systematic review, taxonomy and future directions.

[BibT_eX]

[DOI]

Internet Things, April, 2023

Communication Efficient DNN Partitioning-based Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

PipeLearn: Pipeline Parallelism for Collaborative Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2023

ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy.

[BibT_eX]

[DOI]

JunKyu Lee

Hans Vandierendonck

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Context-aware distribution of fog applications using deep reinforcement learning.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2022

FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing.

[BibT_eX]

[DOI]

Enterp. Inf. Syst., 2022

A Survey on Edge Performance Benchmarking.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2022

FedFly: Toward Migration in Edge-Based Distributed Federated Learning.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2022

Abusive Adversaries in 5G and Beyond IoT.

[BibT_eX]

[DOI]

IEEE Consumer Electron. Mag., 2022

Roadmap for edge AI: a Dagstuhl perspective.

[BibT_eX]

[DOI]

Comput. Commun. Rev., 2022

FedComm: Understanding Communication Protocols for Edge-based Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022

Measuring Torque Production with a Robotic Exoskeleton during Cervical Transcutaneous Spinal Stimulation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Rehabilitation Robotics, 2022

CONTINUER: Maintaining Distributed DNN Services During Edge Failures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2022

2021

Editorial.

[BibT_eX]

[DOI]

Alessandro V. Papadopoulos

J. Parallel Distributed Comput., 2021

Revisiting the Arguments for Edge Computing Research.

[BibT_eX]

[DOI]

IEEE Internet Comput., 2021

Toward Sustainable Serverless Computing.

[BibT_eX]

[DOI]

Panos Patros

Josef Spillner

Omer F. Rana

Schahram Dustdar

IEEE Internet Comput., 2021

Roadmap for Edge AI: A Dagstuhl Perspective.

[BibT_eX]

[DOI]

CoRR, 2021

FedFly: Towards Migration in Edge-based Distributed Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer.

[BibT_eX]

[DOI]

CoRR, 2021

QUDOS: quorum-based cloud-edge distributed DNNs for security enhanced industry 4.0.

[BibT_eX]

[DOI]

Kevin Wallis

Christoph Reich

Christian Schindelhauer

Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6, 2021

TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Fog and Edge Computing, 2021

AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries.

[BibT_eX]

[DOI]

Jason Kennedy

Proceedings of the 5th IEEE International Conference on Fog and Edge Computing, 2021

NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cloud Engineering, 2021

The Case for Adaptive Deep Neural Networks in Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

ENORM: A Framework For Edge NOde Resource Management.

[BibT_eX]

[DOI]

Michail Matthaiou

IEEE Trans. Serv. Comput., 2020

New generation cloud computing.

[BibT_eX]

[DOI]

Marco A. S. Netto

Ignacio Martín Llorente

Rajkumar Buyya

Softw. Pract. Exp., 2020

IoTSim-SDWAN: A simulation framework for interconnecting distributed datacenters over Software-Defined Wide Area Network (SD-WAN).

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2020

DYVERSE: DYnamic VERtical Scaling in multi-tenant Edge environments.

[BibT_eX]

[DOI]

Michail Matthaiou

Future Gener. Comput. Syst., 2020

Scission: Context-aware and Performance-driven Edge-based Distributed Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

A Survey on Edge Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2020

WattsApp: Power-Aware Container Scheduling.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

Scission: Performance-driven and Context-aware Cloud-Edge Distribution of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

Modelling Fog Offloading Performance.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Fog and Edge Computing, 2020

Priority-based Fair Scheduling in Edge Computing.

[BibT_eX]

[DOI]

Arkadiusz Madej

Nikolaos Athanasopoulos

Rajiv Ranjan

Proceedings of the 4th IEEE International Conference on Fog and Edge Computing, 2020

Cross Architectural Power Modelling.

[BibT_eX]

[DOI]

Kai Chen

Peter Kilpatrick

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

Cloud Benchmarking for Maximising Performance of Scientific Applications.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2019

Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms.

[BibT_eX]

[DOI]

Cheol-Ho Hong

ACM Comput. Surv., 2019

A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2019

Cloud Futurology.

[BibT_eX]

[DOI]

Computer, 2019

Performance Estimation of Container-Based Cloud-to-Fog Offloading.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, 2019

DeFog: fog computing benchmarks.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

Research challenges in query processing and data analytics on the edge.

[BibT_eX]

[DOI]

Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019

Addressing the Challenges in Federating Edge Resources.

[BibT_eX]

[DOI]

Proceedings of the Fog and Edge Computing, 2019

2018

Intra-Node Memory Safe GPU Co-Scheduling.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2018

Next generation cloud computing: New trends and research directions.

[BibT_eX]

[DOI]

Rajkumar Buyya

Future Gener. Comput. Syst., 2018

A survey and taxonomy of resource optimisation for executing bag-of-task applications on public clouds.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2018

Resource Management in Fog/Edge Computing: A Survey.

[BibT_eX]

[DOI]

Cheol-Ho Hong

CoRR, 2018

Addressing the Challenges in Federating Edge Resources.

[BibT_eX]

[DOI]

CoRR, 2018

Realizing Edge Marketplaces: Challenges and Opportunities.

[BibT_eX]

[DOI]

IEEE Cloud Comput., 2018

Accelerator Virtualization in Fog Computing: Moving from the Cloud to the Edge.

[BibT_eX]

[DOI]

IEEE Cloud Comput., 2018

2017

Multi-tenant virtual GPUs for optimising performance of a financial risk application.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2017

Feasibility of Fog Computing.

[BibT_eX]

[DOI]

Rajkumar Buyya

CoRR, 2017

Edge-as-a-Service: Towards Distributed Cloud Architectures.

[BibT_eX]

[DOI]

Jianyu Li

Proceedings of the Parallel Computing is Everywhere, 2017

Power Modelling for Heterogeneous Cloud-Edge Data Centers.

[BibT_eX]

[DOI]

Kai Chen

Peter Kilpatrick

Proceedings of the Parallel Computing is Everywhere, 2017

Plug and play bench: Simplifying big data benchmarking using containers.

[BibT_eX]

[DOI]

Sheriffo Ceesay

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Accelerating R-based analytics on the cloud.

[BibT_eX]

[DOI]

Ishan Patel

Concurr. Comput. Pract. Exp., 2016

Computing probable maximum loss in catastrophe reinsurance portfolios on multi-core and many-core architectures.

[BibT_eX]

[DOI]

Neil Burke

Concurr. Comput. Pract. Exp., 2016

Challenges and Opportunities in Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Smart Cloud, 2016

Container-Based Cloud Virtual Machine Benchmarking.

[BibT_eX]

[DOI]

Lawan Thamsuhang Subba

Proceedings of the 2016 IEEE International Conference on Cloud Engineering, 2016

Minimising the Execution of Unknown Bag-of-Task Jobs with Deadlines on the Cloud.

[BibT_eX]

[DOI]

Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing, 2016

A machine learning analysis of Twitter sentiment to the Sandy Hook shootings.

[BibT_eX]

[DOI]

Peter D. Donnelly

Proceedings of the 12th IEEE International Conference on e-Science, 2016

Algorithms for Optimising Heterogeneous Cloud Virtual Machine Clusters.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

DocLite: A Docker-Based Lightweight Cloud Benchmarking Tool.

[BibT_eX]

[DOI]

Lawan Thamsuhang Subba

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2015

RBioCloud: A Light-Weight Framework for Bioconductor and R-based Jobs on the Cloud.

[BibT_eX]

[DOI]

Ishan Patel

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

The GPU vs Phi Debate: Risk Analytics Using Many-Core Computing.

[BibT_eX]

[DOI]

CoRR, 2015

The hardware accelerator debate: A financial risk case study using many-core computing.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2015

Task Scheduling on the Cloud with Hard Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE World Congress on Services, 2015

Cloud-based E-Infrastructure for Scheduling Astronomical Observations.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on e-Science, 2015

Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on e-Science, 2015

Executing Bag of Distributed Tasks on Virtually Unlimited Cloud Resources.

[BibT_eX]

[DOI]

Proceedings of the CLOSER 2015, 2015

Budget Constrained Execution of Multiple Bag-of-Tasks Applications on the Cloud.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

Cloud Services Brokerage: A Survey and Research Roadmap.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014

Automating fault tolerance in high-performance computational biological jobs using multi-agent approaches.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2014

Academic Cloud Computing Research: Five Pitfalls and Five Opportunities.

[BibT_eX]

[DOI]

Proceedings of the 6th USENIX Workshop on Hot Topics in Cloud Computing, 2014

Cloud Benchmarking for Performance.

[BibT_eX]

[DOI]

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

Executing Bag of Distributed Tasks on the Cloud: Investigating the Trade-Offs between Performance and Cost.

[BibT_eX]

[DOI]

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

Optimal Deployment of Geographically Distributed Workflow Engines on the Cloud.

[BibT_eX]

[DOI]

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

BigExcel: A web-based framework for exploring big data in social sciences.

[BibT_eX]

[DOI]

Muhammed Asif Saleem

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Are Clouds Ready to Accelerate Ad Hoc Financial Simulations?

[BibT_eX]

[DOI]

Proceedings of the 1st IEEE/ACM International Symposium on Big Data Computing, 2014

2013

Developing and Testing the Automated Post-Event Earthquake Loss Estimation and Visualisation (APE-ELEV) Technique.

[BibT_eX]

[DOI]

CoRR, 2013

Accounting for secondary uncertainty: efficient computation of portfolio risk measures on multi and many core architectures.

[BibT_eX]

[DOI]

Proceedings of WHPCF'13: 6th Workshop on High Performance Computational Finance, 2013

Achieving Speedup in Aggregate Risk Analysis Using Multiple GPUs.

[BibT_eX]

[DOI]

Proceedings of the 42nd International Conference on Parallel Processing, 2013

A MapReduce Framework for Analysing Portfolios of Catastrophic Risk with Secondary Uncertainty.

[BibT_eX]

[DOI]

Zhimin Yao

Proceedings of the International Conference on Computational Science, 2013

High performance risk aggregation: addressing the data processing challenge the hadoop mapreduce way.

[BibT_eX]

[DOI]

Zhimin Yao

Proceedings of the ScienceCloud'13, 2013

Risk Analytics for Estimating and Validating Magnitude of Earthquake Losses.

[BibT_eX]

[DOI]

Proceedings of the 24th International Workshop on Database and Expert Systems Applications, 2013

QuPARA: Query-driven large-scale portfolio aggregate risk analysis on MapReduce.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

The royal birth of 2013: Analysing and visualising public sentiment in the UK using Twitter.

[BibT_eX]

[DOI]

Vu Dung Nguyen

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Robotic Ecologies for Deep Space Outposts.

[BibT_eX]

[DOI]

Proceedings of the 10th IFAC Symposium on Robot Control, SyRoCo 2012, Dubrovnik, Croatia, 2012

Data Challenges in High-Performance Risk Analytics.

[BibT_eX]

[DOI]

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk.

[BibT_eX]

[DOI]

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

A Platform for Parallel R-based Analytics on Cloud Infrastructure.

[BibT_eX]

[DOI]

Ishan Patel

Proceedings of the 41st International Conference on Parallel Processing Workshops, 2012

Rapid Post-event Catastrophe Modelling and Visualization.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Workshop on Database and Expert Systems Applications, 2012

2011

Swarm-array computing : a swarm robotics inspired approach to achieve automated fault tolerance in high-performance computing systems.

[BibT_eX]

[DOI]

PhD thesis, 2011

Can Agent Intelligence be Used to Achieve Fault Tolerant Parallel Computing Systems?

[BibT_eX]

[DOI]

Parallel Process. Lett., 2011

2010

Exploring Carrier Agents in Swarm-Array Computing.

[BibT_eX]

[DOI]

Scalable Comput. Pract. Exp., 2010

A mathematical model, implementation and study of a swarm system.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2010

Implementing intelligent cores using processor virtualization for fault tolerance.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2010

An MPI-based implementation of intelligent agents on clusters.

[BibT_eX]

[DOI]

Proceedings of the 2010 Spring Simulation Multiconference, 2010

A Cluster-Based Implementation of a Fault Tolerant Parallel Reduction Algorithm Using Swarm-Array Computing.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Autonomic and Autonomous Systems, 2010

Intelligent Agents for Fault Tolerance: From Multi-agent Simulation to Cluster-Based Implementation.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications Workshops, 2010

2009

A review and implementation of swarm pattern formation and transformation models.

[BibT_eX]

[DOI]

Int. J. Intell. Comput. Cybern., 2009

Swarm pattern transformation methodologies.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Swarm Intelligence Symposium, 2009

Investigating feasible tools for swarm pattern transformation.

[BibT_eX]

[DOI]

Proceedings of the 2nd International ICST Conference on Robot Communication and Coordination, 2009

Autonomous Execution of Tasks by Swarm Carrier Agents in Swarm-Array Computing.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Distributed Computing III, Proceedings of the 3rd International Symposium on Intelligent Distributed Computing, 2009

Modeling and Simulating a Mathematical Tool for Multi-robot Pattern Transformation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computer Modeling and Simulation, 2009

Can Space Applications Benefit from Intelligent Agents?

[BibT_eX]

[DOI]

Proceedings of the Autonomic Computing and Communications Systems, 2009

2008

A swarm pattern transformation method based on macroscopic parameter operations.

[BibT_eX]

[DOI]