Computation offloading for sporadic real-time tasks
Computation offloading for sporadic real-time tasks
复制标题
零星实时任务的计算卸载
DOI：
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复制
发表时间：
2014
期刊：
影响因子：
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通讯作者：
W. Liu
中科院分区：
文献类型：
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作者：
Anas Toma;Jian;W. Liu
移动设备的应用日益完善。它们包括计算密集型任务，例如视频和音频处理。然而，移动设备的资源有限，这可能导致难以及时完成这些任务。计算卸载可用于增强这些资源受限设备的功能，其中计算密集型任务被转移到强大的远程处理单元。本文考虑零星实时任务的计算卸载问题。远程处理单元（服务器端）采用总带宽服务器（TBS）进行资源预留。在客户端，提出了一种动态编程算法来确定任务的卸载决策，使其时间表可行（即所有任务都满足其截止日期）。该算法通过监控系统案例研究和综合基准进行评估。
The applications of the mobile devices are increasingly being improved. They include computation-intensive tasks, such as video and audio processing. However, the mobile devices have limited resources, which may make it difficult to finish these tasks in time. Computation offloading can be used to boost the capabilities of these resource-constrained devices, where the computation-intensive tasks are moved to a powerful remote processing unit. This paper considers the computation offloading problem for sporadic real-time tasks. The total bandwidth server (TBS) is adopted on the remote processing unit (the server side) for resource reservation. On the client side, a dynamic programming algorithm is proposed to determine the offloading decision of the tasks such that their schedule is feasible (i.e., all the tasks meet their deadlines). The algorithm is evaluated using a case study of surveillance system and synthesized benchmarks.