ENORM: A Framework For Edge NOde Resource Management

• Published in: IEEE transactions on services computing Vol. 13; no. 6; pp. 1086 - 1099
• Main Authors: Wang, Nan, Varghese, Blesson, Matthaiou, Michail, Nikolopoulos, Dimitrios S.
• Format: Journal Article
• Language: English
• Published: IEEE 01-11-2020
• Subjects: Cloud computing; Computational modeling; Edge computing; edge nodes; Fog computing; provisioning; Quality of service; Resource management; Scalability; scaling resources; Servers
• ISSN: 1939-1374; 1939-1374; 2372-0204
• DOI: 10.1109/TSC.2017.2753775

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 E dge NO de R esource M anagement (ENORM) framework. Mechanisms for provisioning and auto-scaling edge node resources are proposed. The feasibility of the framework is demonstrated on a PokéMon 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.