Mobile Cloud Computing: A Multisite Computation Offloading

被引:0
作者
Goudarzi, Mohammad [1 ]
Movahedi, Zeinab [1 ]
Nazari, Masoud [1 ]
机构
[1] IUST, Fac Comp Engn, Tehran, Iran
来源
2016 8TH INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATIONS (IST) | 2016年
关键词
Mobile Cloud Computing; Computation Offloading; Multisite; Near Optimal Partitioning;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Mobile cloud computing is a promising approach to overcome limitations of mobile devices in terms of battery consumption and capability to execute computation-intensive applications. It consists in outsourcing some parts of computation-intensive applications to cloud servers, so that the overall energy consumption and execution time of application's running are optimized. In addition to classical public/private clouds, computations can also be offloaded to nearby clouds, called cloudlets, which may have different access delays, proximity to end users, computation capability and/or monetary cost. In such a heterogeneous context, the offloading decision becomes very complicated and time-consuming, especially when the number of surrogate sites and application units increase. In this paper, we propose a multisite offloading solution which uses the genetic algorithm to timely achieve the best-possible offloading outcome in a heterogeneous multisite context. Simulation results demonstrated that our proposal can outperform other existing multisite alternatives for different number of surrogate sites and various application sizes.
引用
收藏
页码:660 / 665
页数:6
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