摘要
为解决移动设备有限的内存和电池容量与移动设备发展不匹配的问题,基于移动分流的思想,提出一种以时间和能耗为目标函数的非I/O密集型应用程序分流系统.运行时,基于划分好的应用程序,根据动态分流算法将其部分或者全部分流到云端执行,以达到减少应用程序的执行时间和智能手机能源的消耗,从而提高用户的体验度.最后,基于人脸识别程序,通过仿真对比试验验证了应用程序分流系统在时间和能耗上的有效性.
Faced with the gradual growth of user applications,mobile devices with limited memory and battery capacity has become a bottleneck in the development of mobile devices.The mobile non-I/O-intensive computing applications offloading system with the objective function of saving time and energy was forward.At run time,according to the dynamic offloading algorithm to migrate some or all parts of the division applications to cloud,thereby reducing the execution time and energy consumption of smart phone applications and improving the user experience.Finally,based on the face recognition application,the simulation comparison experiment was used to proving the validity of the application offloading system in time and energy consumption.
作者
张照胜
陈平
李泽堃
李蜀瑜
Zhang Zhaosheng;Chen Ping;Li Zekun;Li Shuyu(School of Computer Science,Shanxi Normal University,Xi′an 710119,China)
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2016年第S1期104-108,共5页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
赛尔网络下一代互联网技术创新资助项目(NGII20150703)
关键词
移动云计算
时间
能耗
动态分流
分流系统
mobile cloud computing
time
energy consumption
dynamic offloading
offloading system
