Energy Driven Avatar Migration in Green Cloudlet Networks

被引：34

作者：

Fan, Qiang ^{[1
]}

Ansari, Nirwan ^{[1
]}

Sun, Xiang ^{[1
]}

机构：

[1] New Jersey Inst Technol, Newark, NJ 07102 USA

来源：

IEEE COMMUNICATIONS LETTERS | 2017年 / 21卷 / 07期

关键词：

Cloudlet; edge computing; virtual machine migration; green energy;

D O I：

10.1109/LCOMM.2017.2684812

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Fully utilizing green energy can remarkably decrease the operational cost of cloudlet providers in provisioning green cloudlet networks (GCNs), which are powered by both green and brown energy. Owing to the spatial and temporal dynamics of energy demands and green energy generation, migrating Avatars (i.e., virtual machines) from green energy deprived cloudlets into green energy over-provisioned cloudlets can reduce the total on-grid energy consumption of GCN. However, Avatar migration itself consumes non-negligible energy consumption. In this letter, we propose the Energy driven AvataR migration (EARN) scheme to reduce the total on-grid energy consumption of GCN by considering the energy consumption of Avatar migrations. The performance of EARN is demonstrated by extensive simulations.

引用

页码：1601 / 1604

页数：4

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