支持MEC的无线系统中的时空相关任务执行服务
Spatiotemporal Dependable Task Execution Services in MEC-enabled Wireless Systems
摘要：
多访问边缘计算（MEC）使计算和能源受限的设备能够在强大的服务器上卸载和执行其任务。由于频谱和计算资源的稀缺性，重要的是联合考虑i）用于任务卸载的基于竞争的通信和ii）并行计算和对容易发生故障的MEC处理资源（虚拟机）的占用。任务卸载的可行性和成功的任务执行，几乎没有失败的操作时间期间，需要从一个组合的角度集体调查。为此，这封信提出了一种新的时空框架，利用随机几何和连续时间马尔可夫链，共同表征可靠的MEC使能的无线系统的通信和计算性能。基于所设计的框架，我们评估不同的系统参数对不同的可靠性指标，如（i）计算资源的可用性，（ii）任务执行的可保留性，和（iii）任务执行能力的影响。我们的研究结果表明，存在一个最佳数量的虚拟机并行计算在MEC服务器，以最大限度地提高任务执行能力。
英文摘要：
Multi-access Edge Computing (MEC) enables computation and energy-constrained devices to offload and execute their tasks on powerful servers. Due to the scarce nature of the spectral and computation resources, it is important to jointly consider i) contention-based communications for task offloading and ii) parallel computing and occupation of failure-prone MEC processing resources (virtual machines). The feasibility of task offloading and successful task execution with virtually no failures during the operation time needs to be investigated collectively from a combined point of view. To this end, this letter proposes a novel spatiotemporal framework that utilizes stochastic geometry and continuous time Markov chains to jointly characterize the communication and computation performance of dependable MEC-enabled wireless systems. Based on the designed framework, we evaluate the influence of various system parameters on different dependability metrics such as (i) computation resources availability, (ii) task execution retainability, and (iii) task execution capacity. Our findings showcase that there exists an optimal number of virtual machines for parallel computing at the MEC server to maximize the task execution capacity.
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