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首页> 外文会议>45th Southeastern Symposium on System Theory >MobSched: Customizable scheduler for mobile cloud computing
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MobSched: Customizable scheduler for mobile cloud computing

机译：MobSched：用于移动云计算的可定制调度程序

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摘要

In this paper, we explore how cloud computing techniques can be used on mobile devices. We analyze the reason why Hadoop's performance is poor in MANET, most notably, relying too much on distributed filesystem, and not aware of mobility and multi-hop nature of MANET. Two ways are proposed to deploy mobile cloud computing in an efficient manner: MobSched, a customizable job scheduler; and a mobile friendly MapReduce framework. These two methods enable developers to use MapReduce programming model in the context of MANET. Theoretical analysis suggests that the proposed framework can improve the performance of MapReduce jobs running on top of MANET, and reduce the energy consumption. Simulation results show that the proposed scheduler, MobSched, which is based on a linear programming formulation, can efficiently optimize multiple objectives such as power and (or) throughput, while being constrained with requirements such as minimum quality of service, and (or) maximum bandwidth usage that has to be met by the system. Comparison with other schedulers such as uniform load balancing, FIFO, and clustering types show that the proposed scheduler performs best when it comes to optimizing for a specific criteria such as total power consumption within reasonable latency.
机译：在本文中，我们探索了如何在移动设备上使用云计算技术。我们分析了Hadoop在MANET中的性能较差的原因，最明显的是，它过于依赖分布式文件系统，并且不了解MANET的移动性和多跳性质。提出了两种有效部署移动云计算的方法：MobSched，可自定义的作业调度程序；和移动友好的MapReduce框架。这两种方法使开发人员可以在MANET上下文中使用MapReduce编程模型。理论分析表明，提出的框架可以提高在MANET上运行的MapReduce作业的性能，并减少能耗。仿真结果表明，所提出的调度器MobSched基于线性规划公式，可以有效地优化多个目标，例如功率和（或）吞吐量，同时受到诸如最低服务质量和（或）最高要求等约束系统必须满足的带宽使用情况。与其他调度程序（例如统一负载平衡，FIFO和群集类型）的比较表明，在针对特定标准（例如合理延迟内的总功耗）进行优化时，建议的调度程序表现最佳。

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