56 citations · 127 across the 8 of their papers we have counts for
9 papers
A Survey on Edge Performance Benchmarking
Blesson Varghese, Nan Wang, David Bermbach +4
Edge computing is the next Internet frontier that will leverage computing resources located near users, sensors, and data stores to provide more responsive services. Therefore, it…
Context-aware Distribution of Fog Applications Using Deep Reinforcement Learning
Nan Wang, Blesson Varghese
Fog computing is an emerging paradigm that aims to meet the increasing computation demands arising from the billions of devices connected to the Internet. Offloading services of an…
Priority-based Fair Scheduling in Edge Computing
Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos +2
Scheduling is important in Edge computing. In contrast to the Cloud, Edge resources are hardware limited and cannot support workload-driven infrastructure scaling. Hence, resource…
DYVERSE: DYnamic VERtical Scaling in Multi-tenant Edge Environments
Nan Wang, Michail Matthaiou, Dimitrios S. Nikolopoulos +1
Multi-tenancy in resource-constrained environments is a key challenge in Edge computing. In this paper, we develop 'DYVERSE: DYnamic VERtical Scaling in Edge' environments, which i…
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…
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…