Paper Info
Title
An Energy-Aware Virtual Machine Scheduling Method for Cloudlets in Wireless Metropolitan Area Networks
Abstract
Currently, mobile applications, such as interactive gaming, virtual reality, and natural language processing, are becoming more computational intensive, but the computing capacity of mobile devices is limited. An effective way to solve this problem is offloading the tasks to nearby cloudlets, which are some small mobile data centers deployed in wireless metropolitan area network (WMAN). and consume a large amount of energy. Excessive energy consumption brings about some negative effects, including increased carbon dioxide emissions, aggravating the greenhouse effect, etc. In view of this challenge, we propose an energy-aware virtual machine (VM) scheduling method for cloudlets in WMAN. Technically, an optimization model is designed to formalize our problem. Then, based on VM Live Migration Technology, a corresponding energy saving VM scheduling method abbreviated as MFEA is proposed to determine which VMs should be migrated and where they should be migrated. Finally, experimental data demonstrate that the proposed method is effective.
Year
DOI
Venue
2018
10.1109/Cybermatics_2018.2018.00110
2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
Keywords
Field
DocType
Cloud computing,Performance evaluation,Energy consumption,Internet of Things,Green computing,Social computing,Blockchain
Virtual machine,Green computing,Live migration,Scheduling (computing),Computer science,Mobile device,Mobile broadband,Energy consumption,Distributed computing,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-5386-7975-3
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Xu Xiaolong142464.23
Yuancheng Li2100.89
Yuan Yuan301.35
Kai Peng4668.99
Wenbin Yu501.01
Wanchun Dou687896.01
Alex X. Liu72727174.92