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Adaptive Resource Allocation for Computation Offloading: A Control-Theoretic Approach

机译:计算卸载的自适应资源分配:控制定理方法

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摘要

Although mobile devices today have powerful hardware and networking capabilities, they fall short when it comes to executing compute-intensive applications. Computation offloading (i.e., delegating resource-consuming tasks to servers located at the edge of the network) contributes toward moving to a mobile cloud computing paradigm. In this work, a two-level resource allocation and admission control mechanism for a cluster of edge servers offers an alternative choice to mobile users for executing their tasks. At the lower level, the behavior of edge servers is modeled by a set of linear systems, and linear controllers are designed to meet the system's constraints and quality of service metrics, whereas at the upper level, an optimizer tackles the problems of load balancing and application placement toward the maximization of the number the offloaded requests. The evaluation illustrates the effectiveness of the proposed offloading mechanism regarding the performance indicators, such as application average response time, and the optimal utilization of the computational resources of edge servers.
机译:虽然今天的移动设备具有强大的硬件和网络功能,但在执行计算密集型应用程序时,它们会缩短。计算卸载(即,将资源消耗的任务委托到网络边缘的服务器)有助于移动到移动云计算范例。在这项工作中,一组边缘服务器的两级资源分配和准入控制机制为移动用户提供了执行任务,为移动用户提供替代选择。在较低级别,边缘服务器的行为由一组线性系统建模,并且线性控制器旨在满足系统的约束和服务质量度量,而在上层,优化器会解决负载平衡的问题应用程序放置在最大化的卸载请求的最大化。评估说明了所提出的卸载机制关于性能指示符的有效性,例如应用程序平均响应时间,以及边缘服务器的计算资源的最佳利用。

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