一个移动云计算中的数据流应用分解与运行框架.PDF

网络出版时间：2014-04-16 17:10 网络出版地址：/kcms/detail/51.1196.TP1710.063.html 一个移动云计算中的数据流应用分解与运行框架* 罗剑明 程良伦 (广东工业大学 计算机学院,广州 510006) 摘 要: 在移动客户端中，很多应用程序由于移动设备CPU 性能或能源限制而不能有效的运作。本文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且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，本文的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，同时框架能够很好的适应移动数据流应用程序的运行。 关键字: 移动云计算；应用程序分解；遗传算法 中图分类号: TP309.1 文献标志码: A 文章编号： Framework for Partitioning and Execution of Data Stream Applications in Mobile Cloud Computing LUO Jian-ming CHENG Liang-lun (Faculty of Computer, Guangdong University of Technology, Guangzhou 510006, China) Abstract: In mobile client, a large number of application can not run efficiently due to the lack of significant computation capability and energy power of mobile devices . 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 designs 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. Key words: mobile cloud computing; application partitioning; genetic algorithm; 要执行的计算任务迁移到云端。