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ENORM: A Framework For Edge NOde Resource Management
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OA
AI
DOI：10.1109/TSC.2017.2753775.png)
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Abstract
En 中文
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 computing, which leverages computing at the edge of the network on nodes, such as routers, base stations and switches, along with the cloud. However, to realise fog computing the challenge of managing edge nodes will need to be addressed. This paper is motivated to address the resource management challenge. We develop the first framework to manage edge nodes, namely the Edge NOde Resource Management (ENORM) framework. Mechanisms for provisioning and auto-scaling edge node resources are proposed. The feasibility of the framework is demonstrated on a PokeMon Go-like online game use-case. The benefits of using ENORM are observed by reduced application latency between 20-80 percent and reduced data transfer and communication frequency between the edge node and the cloud by up to 95 percent. These results highlight the potential of fog computing for improving the quality of service and experience.
Keywords:
Servers
Cloud computing
Edge computing
Resource management
Computational modeling
Quality of service
Fog computing
edge nodes
resource management
provisioning
scaling resources
Journal
IF:
5.8
Papers:
2.2K
Citations:
6.5K
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