4.7 Article

Intelligent Resource Management in Intercloud, Fog, and Edge: Tutorial and New Directions

期刊

IEEE TRANSACTIONS ON SERVICES COMPUTING
卷 15, 期 2, 页码 1157-1174

出版社

IEEE COMPUTER SOC
DOI: 10.1109/TSC.2020.2975168

关键词

Cloud computing; Resource management; Edge computing; Tutorials; Task analysis; Barium; Protocols; Cloud computing; intercloud; fog computing; edge computing; cloud resource allocation; cloud economics; intelligent resource management; distributed intelligent systems; cooperative problem solving; contract net protocol

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This article constructs a cloud intelligence model and provides a tutorial on agent-based cloud, fog, and edge resource management, paving the way for designing intelligent interclouds, fogs, and edges. It also describes a proof-of-concept prototype of an intelligent intercloud and provides an application example of the prototype.
This article 1) constructs a cloud intelligence model that specifies the desirable intelligent properties of cloud agents, 2) provides a tutorial on agent-based cloud, fog, and edge resource management, and 3) paves the way for designing intelligent interclouds, fogs, and edges. An intelligent intercloud is a cloud of clouds populated by a society of agents that automates intercloud resource management activities. By contributing a tutorial on agent-based cloud resource management techniques, this article provides researchers with the foundational knowledge for devising intelligent intercloud resource management techniques. By contributing an architectural blueprint, and suggesting and comparing different intelligent resource management techniques, this article provides an overall design together with pointers to and guidelines for constructing the components of an intelligent intercloud. This article describes a proof-of-concept prototype of an intelligent intercloud and provides an application example of the prototype. The need of IoT devices for reduced response time triggered technological advancements towards fog and edge computing. By providing a tutorial on agent-based fog and edge resource management techniques, this article provides researchers with the foundational knowledge for devising intelligent fog and edge agents. Relevant techniques are also suggested for improving and optimizing the performances of future intercloud, fog, and edge agents.

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