一个移动云计算中的数据流应用分解与运行框架  

Framework for partitioning and execution of data stream applications in mobile cloud computing

作　　者：罗剑明[1] 程良伦[1] 

机构地区：[1]广东工业大学计算机学院,广州510006

出　　处：《计算机应用研究》2014年第6期1731-1735,共5页Application Research of Computers

基　　金：国家自然科学基金-广东联合基金资助项目(U2012A002D01)

摘　　要：针对移动客户端的数据流应用程序的特征和移动云计算的方法,提出了一个能对应用程序的动态分解与执行提供运行时支持的框架,并基于此框架设计了一个执行最优分解的遗传算法。实验结果表明,分解方案能够比正常的应用程序有两倍的执行性能提高。此框架不仅允许给单个用户动态分解,而且支持云中多用户计算实体共享,以达到云计算资源的有效利用,同时框架能够很好地适应移动数据流应用程序的运行。This paper focused on the feature of data stream application in mobile client and the approaches of mobile cloud computing,propose a framework to provide runtime support for the dynamic partitioning and execution of the application,and designed a genetic algorithm to perform the optimal partition.The results show that our method can achieve more than 2X better performance over the execution without partitioning.The framework not only allows the dynamic partitioning for a single user but also supports the sharing of computation instances among multiple users in the cloud to achieve efficient utilization of the underlying cloud resources.Meanwhile,the framework can make the mobile data stream application run efficiently.

关 键 词：移动云计算 应用程序分解 遗传算法 

分 类 号：TP309.1[自动化与计算机技术—计算机系统结构]