activity
20142020
most citedChallenges and Opportunities in Edge Computing

56 citations · 167 across the 22 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.DC2017

Intra-node Memory Safe GPU Co-Scheduling

Carlos Reano, Federico Silla, Dimitrios S. Nikolopoulos +1

GPUs in High-Performance Computing systems remain under-utilised due to the unavailability of schedulers that can safely schedule multiple applications to share the same GPU. The r…

cs.PF2017★ 1 cited

Power Modelling for Heterogeneous Cloud-Edge Data Centers

Kai Chen, Blesson Varghese, Peter Kilpatrick +1

Existing power modelling research focuses not on the method used for developing models but rather on the model itself. This paper aims to develop a method for deploying power model…

cs.DC2017★ 19 cited

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

Blesson Varghese, Nan Wang, Jianyu Li +1

We present an Edge-as-a-Service (EaaS) platform for realising distributed cloud architectures and integrating the edge of the network in the computing ecosystem. The EaaS platform…

cs.DC2017★ 4 cited

ENORM: A Framework For Edge NOde Resource Management

Nan Wang, Blesson Varghese, Michail Matthaiou +1

Current computing techniques using the cloud as a centralised server will become untenable as billions of devices get connected to the Internet. This raises the need for fog comput…

cs.DC2017★ 2 cited

Dependency-Aware Rollback and Checkpoint-Restart for Distributed Task-Based Runtimes

Kiril Dichev, Herbert Jordan, Konstantinos Tovletoglou +4

With the increase in compute nodes in large compute platforms, a proportional increase in node failures will follow. Many application-based checkpoint/restart (C/R) techniques have…

cs.DC2017★ 34 cited

Feasibility of Fog Computing

Blesson Varghese, Nan Wang, Dimitrios S. Nikolopoulos +1

As billions of devices get connected to the Internet, it will not be sustainable to use the cloud as a centralised server. The way forward is to decentralise computations away from…