论文标题
联合无线和边缘计算资源管理与动态网络切片选择
Joint Wireless and Edge Computing Resource Management with Dynamic Network Slice Selection
论文作者
论文摘要
网络切片是在边缘计算系统中启用低延迟计算卸载的一种有前途的方法。在本文中，我们考虑了网络切片下的边缘计算系统，其中无线设备生成延迟敏感的计算任务。我们解决了将计算任务的联合动态分配到切片，跨切片的无线电资源管理以及切片中的无线电管理和计算资源的管理问题。我们将联合切片选择和边缘资源管理（JSS-MERS）问题作为一个混合企业问题，目的是最大程度地减少计算任务的完成时间。我们表明，JSS-MERM问题是NP-HARD，并基于该问题的游戏理论处理而开发具有有界近似比的近似算法。我们提供了广泛的仿真结果，以表明与没有切片相比，网络切片可以改善系统性能，并且与平等的切片策略相比，提出的解决方案可以取得显着增长。我们的结果还表明，所提出的算法的计算复杂性在设备数量中大致是线性的。
Network slicing is a promising approach for enabling low latency computation offloading in edge computing systems. In this paper, we consider an edge computing system under network slicing in which the wireless devices generate latency sensitive computational tasks. We address the problem of joint dynamic assignment of computational tasks to slices, management of radio resources across slices and management of radio and computing resources within slices. We formulate the Joint Slice Selection and Edge Resource Management(JSS-ERM) problem as a mixed-integer problem with the objective to minimize the completion time of computational tasks. We show that the JSS-ERM problem is NP-hard and develop an approximation algorithm with bounded approximation ratio based on a game theoretic treatment of the problem. We provide extensive simulation results to show that network slicing can improve the system performance compared to no slicing and that the proposed solution can achieve significant gains compared to the equal slicing policy. Our results also show that the computational complexity of the proposed algorithm is approximately linear in the number of devices.
