A Multi–Source Fluid Queue Based Stochastic Model of the Probabilistic Offloading Strategy in a MEC System With Multiple Mobile Devices and a Single MEC Server
A Multi–Source Fluid Queue Based Stochastic Model of the Probabilistic Offloading Strategy in a MEC System With Multiple Mobile Devices and a Single MEC Server
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DOI：
10.34768/amcs-2022-0010
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发表时间：
2022-03
影响因子：
1.9
通讯作者：
Huan Zheng;Shunfu Jin
中科院分区：
文献类型：
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作者：
Huan Zheng;Shunfu Jin
摘要移动边缘计算(MEC)是第五代(5G)网络实现高带宽、低时延和可靠服务的关键技术之一。为了更好地评估MEC系统中概率卸载策略的性能，提出了一种基于多源流体队列的任务随机行为建模方法。考虑到MEC系统中的多个移动设备(MD)，我们建立了一个多源流体队列来对卸载到MEC服务器的任务进行建模。给出了一种分析由多个独立的异类有限状态生灭过程(BDP)驱动的流队列的方法，并给出了边缓冲区内容的累积分布函数(CDF)。然后，我们从MEC服务器的利用率、期望的边缘缓存内容和任务的平均响应时间三个方面对性能指标进行了评估。最后，我们给出了数值结果并进行了一些分析，以说明本文所建立的随机模型的可行性。
Abstract Mobile edge computing (MEC) is one of the key technologies to achieve high bandwidth, low latency and reliable service in fifth generation (5G) networks. In order to better evaluate the performance of the probabilistic offloading strategy in a MEC system, we give a modeling method to capture the stochastic behavior of tasks based on a multi-source fluid queue. Considering multiple mobile devices (MDs) in a MEC system, we build a multi-source fluid queue to model the tasks offloaded to the MEC server. We give an approach to analyze the fluid queue driven by multiple independent heterogeneous finite-state birth-and-death processes (BDPs) and present the cumulative distribution function (CDF) of the edge buffer content. Then, we evaluate the performance measures in terms of the utilization of the MEC server, the expected edge buffer content and the average response time of a task. Finally, we provide numerical results with some analysis to illustrate the feasibility of the stochastic model built in this paper.