论文标题
移动边缘计算中计算和无线电资源的联合管理：市场均衡方法
Joint Management of Compute and Radio Resources in Mobile Edge Computing: a Market Equilibrium Approach
论文作者
论文摘要
最近引入了Edge Computing，以使计算能力更接近现代网络服务的最终用户，以通过有效解决影响云计算的高传播延迟问题，以支持存在和将来的延迟敏感应用程序。但是，由于边缘节点和无线访问网络的能力有限，以及资源和服务要求的异质性，因此有效，公平地管理系统资源的问题提出了特定的挑战。为此，我们提出了一个技术经济市场，服务提供商充当买家，确保无线电和计算资源以执行其相关最终用户的工作，同时受到预算限制的约束。我们设计了一种采用凸面编程的分配机制，以找到最大化公平性的独特市场均衡点，同时确保所有买家都会收到其首选的资源捆绑包。此外，我们得出了理论特性，这些特性证实了市场均衡方法如何在公平与效率之间取得平衡。我们还提出了替代分配机制，并与基于市场的机制进行了比较。最后，我们进行仿真，以数字分析和比较机制的性能并确认市场模型的理论特性。
Edge computing has been recently introduced as a way to bring computational capabilities closer to end users of modern network-based services, in order to support existent and future delay-sensitive applications by effectively addressing the high propagation delay issue that affects cloud computing. However, the problem of efficiently and fairly manage the system resources presents particular challenges due to the limited capacity of both edge nodes and wireless access networks, as well as the heterogeneity of resources and services' requirements. To this end, we propose a techno-economic market where service providers act as buyers, securing both radio and computing resources for the execution of their associated end users' jobs, while being constrained by a budget limit. We design an allocation mechanism that employs convex programming in order to find the unique market equilibrium point that maximizes fairness, while making sure that all buyers receive their preferred resource bundle. Additionally, we derive theoretical properties that confirm how the market equilibrium approach strikes a balance between fairness and efficiency. We also propose alternative allocation mechanisms and give a comparison with the market-based mechanism. Finally, we conduct simulations in order to numerically analyze and compare the performance of the mechanisms and confirm the theoretical properties of the market model.
