Resource management in fog/Edge computing: A survey on architectures, infrastructure, and algorithmsopen access
- Authors
- Hong, C.-H.; Varghese, B.
- Issue Date
- Oct-2019
- Publisher
- Association for Computing Machinery
- Keywords
- Algorithms; Architectures; Fog/edge computing; Infrastructure; Resource management
- Citation
- ACM Computing Surveys, v.52, no.5
- Journal Title
- ACM Computing Surveys
- Volume
- 52
- Number
- 5
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/38738
- DOI
- 10.1145/3326066
- ISSN
- 0360-0300
1557-7341
- Abstract
- 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. © 2019 Association for Computing Machinery.
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Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
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