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Paper details
Number 1 - March 2022
Volume 32 - 2022
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
Huan Zheng, Shunfu Jin
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.
Keywords
mobile edge computing, probabilistic offloading strategy, multi-source fluid queue, birth-and-death process, cumulative distribution function