Task Scheduling for Edge Computing with Agile VNFs On-Demand Service Model toward 5G and beyond

Chia Wei Tseng, Fan Hsun Tseng, Yao Tsung Yang, Chien Chang Liu, Li Der Chou

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The demand for satisfying service requests, effectively allocating computing resources, and providing service on-demand application continuously increases along with the rapid development of the Internet. Edge computing is used to satisfy the low latency, network connection, and local data processing requirements and to alleviate the workload in the cloud. This paper proposes a gateway-based edge computing service model to reduce the latency of data transmission and the network bandwidth from and to the cloud. An on-demand computing resource allocation can be achieved by adjusting the task schedule of the edge gateway via the lightweight virtualization technology, Docker. The edge gateway can also process the service requests in the local network. The proposed edge computing service model not only eliminates the computation burden of the traditional cloud service model but also improves the operation efficiency of the edge computing nodes. This model can also be used for various innovation applications in the cloud-edge computing environment for 5G and beyond.

Original languageEnglish
Article number7802797
JournalWireless Communications and Mobile Computing
Volume2018
DOIs
StatePublished - 2018

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