首页> 外文会议>2013 Future Network and Mobile Summit >Computation offloading for mobile cloud computing based on wide cross-layer optimization
【24h】

Computation offloading for mobile cloud computing based on wide cross-layer optimization

机译:基于宽跨层优化的移动云计算计算分流

获取原文
获取原文并翻译 | 示例

摘要

The aim of this paper is to propose a computation offloading strategy to be used in mobile cloud computing in order to minimize the energy expenditure at the mobile handset necessary to run an application under a delay constraint. The main novelty of the proposed strategy is a wide cross-layer optimization that encompasses the application, MAC and physical layers within a joint framework. We consider a wireless channel affected by fading, with statistics depending on the number of antennas, and we incorporate packet retransmission strategies. The result of the optimization is the joint dynamic allocation of radio resources and offload scheduling that guarantee the stability of the queue of instructions to be executed, in order to minimize the energy consumption at the mobile handset, under a constraint on the average delay. We provide theoretical results proving the existence of an optimal solution of the problem and then we corroborate the theoretical findings with simulation results. The results show for which classes of application and under what kind of channel conditions, computation offloading can provide a significant performance gain.
机译:本文的目的是提出一种在移动云计算中使用的计算分流策略,以最大程度地减少在延迟约束下运行应用程序所需的手机能耗。提出的策略的主要新颖之处在于广泛的跨层优化,它涵盖了联合框架内的应用程序,MAC和物理层。我们考虑到衰落影响的无线信道,其统计取决于天线的数量,并且我们结合了分组重传策略。优化的结果是无线电资源和卸载调度的联合动态分配,它们保证了要执行的指令队列的稳定性,以便在平均延迟的约束下将移动手机的能耗降至最低。我们提供理论结果证明存在问题的最佳解决方案,然后我们将理论结果与模拟结果相证实。结果表明,对于哪些应用程序类别以及在哪种信道条件下,计算分流可以显着提高性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号