A service migration strategy based on multiple attribute decision in mobile edge computing

Dan Zhao, Tan Yang, Yuehui Jin, Yue Xu
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引用次数: 25

Abstract

With the shortcoming of long network delay and long response time, traditional mobile cloud computing can't meet the need of delay sensitive business, such as Virtual Reality and Augmented Reality. Mobile edge computing has emerged and provided a way to solve the problems. During the movement of the user, if an optimal data center is detected, the virtual machine migrates from the current data center to the optimal one. It is important to note that virtual machine migration increases costs while enhancing the user's experience. How to balance costs and benefits is what we need to focus on. The core issue of the migration strategy is whether, when, and where to migrate. In this paper, we propose an edge computing migration strategy based on multiple attribute decision making to deal with the issue. Furthermore, we demonstrate the effectiveness of the migration strategy by simulation.
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移动边缘计算中基于多属性决策的业务迁移策略
传统的移动云计算存在网络时延长、响应时间长等缺点,无法满足虚拟现实、增强现实等对时延敏感的业务需求。移动边缘计算的出现为解决这些问题提供了一种方法。在用户迁移过程中,如果发现最优数据中心,虚拟机将从当前数据中心迁移到最优数据中心。值得注意的是,虚拟机迁移在提高用户体验的同时增加了成本。如何平衡成本和收益是我们需要关注的问题。迁移策略的核心问题是是否、何时以及在何处迁移。针对这一问题,提出了一种基于多属性决策的边缘计算迁移策略。通过仿真验证了迁移策略的有效性。
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