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Optimal Task Scheduling in Communication-Constrained Mobile Edge Computing Systems for Wireless Virtual Reality

机译:通信约束移动边缘的最优任务调度   无线虚拟现实的计算系统

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摘要

Mobile edge computing (MEC) is expected to be an effective solution todeliver 360-degree virtual reality (VR) videos over wireless networks. Incontrast to previous computation-constrained MEC framework, which reduces thecomputation-resource consumption at the mobile VR device by increasing thecommunication-resource consumption, we develop a communications-constrained MECframework to reduce communication-resource consumption by increasing thecomputation-resource consumption and exploiting the caching resources at themobile VR device in this paper. Specifically, according to the taskmodularization, the MEC server can only deliver the components which have notbeen stored in the VR device, and then the VR device uses the receivedcomponents and the corresponding cached components to construct the task,resulting in low communication-resource consumption but high delay. The MECserver can also compute the task by itself to reduce the delay, however, itconsumes more communication-resource due to the delivery of entire task.Therefore, we then propose a task scheduling strategy to decide whichcomputation model should the MEC server operates, in order to minimize thecommunication-resource consumption under the delay constraint. Finally, wediscuss the tradeoffs between communications, computing, and caching in theproposed system.
机译:移动边缘计算(MEC)有望成为通过无线网络交付360度虚拟现实(VR)视频的有效解决方案。与以前的受计算限制的MEC框架相反,该框架通过增加通信资源的消耗来减少移动VR设备的计算资源消耗,我们开发了一种通信受约束的MEC框架,以通过增加计算资源的消耗和利用缓存来减少通信资源的消耗。本文中有关移动VR设备的资源。具体地,根据任务模块化,MEC服务器只能传递未存储在VR设备中的组件,然后VR设备使用接收到的组件和相应的缓存组件来构造任务,导致通信资源消耗低,但高延迟。 MECserver也可以自行计算任务以减少延迟,但是由于整个任务的交付,它消耗了更多的通信资源。因此,我们提出了一种任务调度策略来确定MEC服务器应该运行哪种计算模型,以便在时延约束下使通信资源消耗最小。最后,我们讨论了拟议系统中的通信,计算和缓存之间的权衡。

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