TY - GEN
T1 - An Energy-Aware Virtual Machine Scheduling Method for Cloudlets in Wireless Metropolitan Area Networks
AU - Xu, Xiaolong
AU - Li, Yuancheng
AU - Yuan, Yuan
AU - Peng, Kai
AU - Yu, Wenbin
AU - Dou, Wanchun
AU - Liu, Alex X.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7
Y1 - 2018/7
N2 - 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.
AB - 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.
KW - cloudlet
KW - energy consumption
KW - VM scheduling
KW - WMAN
UR - http://www.scopus.com/inward/record.url?scp=85067889703&partnerID=8YFLogxK
U2 - 10.1109/Cybermatics_2018.2018.00110
DO - 10.1109/Cybermatics_2018.2018.00110
M3 - 会议稿件
AN - SCOPUS:85067889703
T3 - Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018
SP - 517
EP - 523
BT - Proceedings - IEEE 2018 International Congress on Cybermatics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Congress on Conferences on Internet of Things, 14th IEEE International Conference on Green Computing and Communications, 11th IEEE International Conference on Cyber, Physical and Social Computing, 4th IEEE International Conference on Smart Data, 1st IEEE International Conference on Blockchain and 18th IEEE International Conference on Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018
Y2 - 30 July 2018 through 3 August 2018
ER -
