Resource Management in Fog/Edge Computing
Управление ресурсами в fog/edge-вычислениях
2019-09-13
SCID: 54.1/e6hjfsef
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architectures and algorithms for resource managementdecentralized edge resourcesfog/edge computingheterogeneous resource-constrained infrastructureresource management
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Abstract (AI)
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.
Key Findings
1
Edge resources are typically more resource-constrained, heterogeneous, and dynamic than cloud resources, making resource management a critical challenge.
2
Fog/edge computing moves processing from centralized cloud data centers to decentralized edge resources near user devices.
3
The article systematically reviews literature dating back to 1991, with 85% of publications occurring between 2013 and 2018.
4
The review identifies and classifies architectures, infrastructure, and underlying algorithms used for resource management in fog/edge computing.
Research Object
Fog/edge computing resources (decentralized, resource-constrained, heterogeneous, and dynamic edge/network resources)
Research Subject
Resource management: architectures, infrastructure, and underlying algorithms for managing fog/edge computing resources
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2019-09-13
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