移动边缘计算平台中基于优先级的资源分配方案

Zubair Sharif, L. T. Jung, M. Ayaz, M. Yahya, Shahneela Pitafi
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引用次数: 2

摘要

移动边缘计算在移动网络的边缘提供类似云的服务,以满足用户对延迟敏感和需要快速计算的应用程序不断增长的需求。然而,这种模式仅限于有限的资源;因此,为了实现资源的最优利用,需要一种高效的资源配置策略。考虑到这一事实,本文旨在描述一种新的方法,即基于优先级的资源分配方案,以有效地利用该范式中的可用资源。通过考虑传入请求的时间约束特性,自适应地分配计算资源。建议的方法应适应完成任务所需的资源和收到的请求的优先次序。在确定接收到的请求类型(可以是基于优先级的请求,也可以是普通请求)之后,将以三种可能中的一种处理每种请求。在边缘节点,可用资源的管理方式是处理最大数量的传入请求和最优地使用稀缺资源。仿真结果表明,我们提出的基于优先级的资源分配方案在平均响应时间、平均延迟、资源使用、任务执行时间分析和能耗等方面都优于基准方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Priority-Based Resource Allocation Scheme for Resources Usage in Mobile Edge Computing Platform
Mobile edge computing offers cloud-like services at the edge of mobile networks to fulfill the escalating user demands for applications that are latency sensitive and require quick computation. However, this paradigm is confined to restricted resources; hence, an efficient and effective resource allocation strategy is necessary for optimum resource usage. Considering this fact, this article aims to describe a new method named the priority-based resource allocation scheme for efficient use of the available resources in this paradigm. Computing resources are allocated adaptively by considering the time-constraint nature of the incoming requests. The proposed approach shall adapt to meet the resource requirements and incoming requests' priorities to accomplish the task. After determining the received request type, which can be either a priority-based or ordinary request, each will be handled in one of three possibilities. At the edge node, available resources are managed in such a way as to handle the maximum number of incoming requests and the optimum use of scarce resources. Simulation results show that our proposed priority-based resource allocation scheme method outperforms the benchmarked schemes in average response time, average latency, resource usage, task execution time analysis, and energy consumption.
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CiteScore
1.30
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0.00%
发文量
7139
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