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A fast hybrid multi-site computation offloading for mobile cloud computing

机译:移动云计算的快速混合多站点计算分流

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Due to nowadays advances of mobile technologies in both hardware and software, mobile devices have become an inseparable part of human life. Along with this progress, mobile devices are expected to perform various types of applications. However, the energy challenge of mobile devices along with their limited computation power act as barriers in front of this expectation. To address this deficiency, mobile cloud computing has been proposed in which computation-intensive tasks of mobile devices are offloaded to cloud resources, so that the energy and time spent for executing the mobile application are reduced. Moreover, in the real world, different types of clouds/servers with heterogeneous processing speeds and access delays are available for offloading resulting in time consuming process of making decision for offloading. To address these objectives, we propose a fast hybrid multi-site computation offloading solution which finds the offloading solution in a timely manner. Our solution includes two decision algorithms to achieve the optimal or near-optimal solution of multi-site offloading considering the application size. We evaluated the efficiency of the proposed solution using both simulation and testbed experiments. The evaluation study demonstrates that our proposal can outperform existing optimal and near-optimal counterparts in terms of weighted execution cost, energy consumption and execution time.
机译:由于当今移动技术在硬件和软件方面的进步,移动设备已成为人类生活中不可分割的一部分。随着这一进步,移动设备有望执行各种类型的应用程序。但是,移动设备的能源挑战以及其有限的计算能力成为了这种期望的障碍。为了解决该缺陷,已经提出了移动云计算,其中将移动设备的计算密集型任务卸载到云资源,从而减少了用于执行移动应用程序的能量和时间。此外,在现实世界中,具有异构处理速度和访问延迟的不同类型的云/服务器可用于卸载,从而导致了耗时的卸载决策过程。为了实现这些目标,我们提出了一种快速的混合多站点计算卸载解决方案,该解决方案可以及时找到卸载解决方案。我们的解决方案包括两种决策算法,以考虑应用程序大小来实现多站点卸载的最佳或接近最佳的解决方案。我们使用仿真和试验台实验评估了提出的解决方案的效率。评估研究表明,在加权执行成本,能耗和执行时间方面,我们的建议可以胜过现有的最佳和接近最佳的同类方案。

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