Paper Info
Title
Task Scheduling for Edge Computing with Agile VNFs On-Demand Service Model toward 5G and Beyond.
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 servicemodel not only eliminates the computation burden of the traditional cloud servicemodel 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.
Year
DOI
Venue
2018
10.1155/2018/7802797
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
Field
DocType
Volume
Edge computing,Virtualization,Computer science,Scheduling (computing),Computer network,Resource allocation,Default gateway,Local area network,Latency (engineering),Distributed computing,Cloud computing
Journal
2018
ISSN
Citations 
PageRank 
1530-8669
2
0.36
References 
Authors
16
5
Name
Order
Citations
PageRank
Chia-wei Tseng1344.47
Fan-Hsun Tseng218617.21
Yao-Tsung Yang3375.67
Chien-Chang Liu4152.74
Li-Der Chou531038.42