Resource Management in Fog/Edge Computing
By Cheol-Ho Hong, Blesson Varghese. ACM Computing Surveys, 2018
474 citations recorded by the source corpus.
Contrary to using distant and centralized cloud data center resources, employing decentralized resources at the edge of a network for processing data closer to user devices, such as smartphones and tablets, is an upcoming computing paradigm, referred to as fog/edge computing. Fog/edge resources are typically resource-constrained, heterogeneous, and dynamic compared to the cloud, thereby making resource management an important challenge that needs to be addressed. This article reviews publications as early as 1991, with 85% of the publications between 2013 and 2018, to identify and classify the architectures, infrastructure, and underlying algorithms for managing resources in fog/edge computing.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/77ac9a647c4b34d96eccfbd4383f19f97a4af262
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In Computer Networks and Communications
In Information Systems
Citations in the corpus
- Resource Scheduling in Edge Computing: A Survey (2021, background): “tion and effectively improve resource scheduling utility [30].”
- Computer Science Review (unknown): “Review of edge computing: Hong and Varghese [14] provided a com prehensive review of resource management within fog/edge computing, focusing on the unique challenges of managing distributed resources characterized by resource constraints, heterogeneity, and system dy namics.”
- Resource Management Approaches in Fog Computing: a Comprehensive Review (2019, background): “& Some papers [19 – 22] did not provide the future directions of resource management approaches in fog computing.”