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A Cyclic Game for Service-Oriented Resource Allocation in Edge Computing

机译:边缘计算中的面向服务资源分配的循环游戏

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Existing works adopt the Edge-Oriented Resource Allocation (EORA) scheme, in which edge nodes cache services and schedule user requests to distribute workloads over cloud and edge nodes, so as to achieve high-quality services and low latency. Unfortunately, EORA does not fully take into account the fact that service providers are sometimes independent from the edge operators with their own objectives. To deal with the conflict and cooperation between service providers and edge nodes, we devise a service-oriented resource allocation (SORA) scheme, where edge nodes and service providers adjust their resource allocations to provide requested services. We first prove that such resource allocation problem is NP-hard. We then propose a three-sided cyclic game (3CG) involving users, edge nodes, and service providers who make their individual decisions by choosing respectively high-quality services, high-value users, and cost-effective edge nodes for service deployment. Based on 3CG, we prove the existence and approximation ratio of pure-strategy Nash equilibriums (NEs). We also develop both centralized and distributed approximate algorithms for resource allocation. Finally, extensive experimental results validate the effectiveness and convergence of the proposed algorithms.
机译:现有作品采用边缘导向的资源分配(EORA)方案,其中边缘节点缓存服务和调度用户请求以在云和边缘节点上分发工作负载,以实现高质量的服务和低延迟。不幸的是,EORA并没有完全考虑到服务提供商有时与边缘运营商有自己的目标。要处理服务提供商和边缘节点之间的冲突和合作,我们设计了面向服务的资源分配(Sora)方案,其中边缘节点和服务提供商调整其资源分配以提供所请求的服务。我们首先证明这种资源分配问题是NP - 硬。然后,我们提出了一个三面循环游戏(3CG),涉及用户,边缘节点和服务提供商,通过选择高质量的服务,高价值用户和经济高效的边缘节点来进行个人决策进行服务部署。基于3CG,我们证明了纯策略纳什均衡(NES)的存在和近似率。我们还开发了用于资源分配的集中和分布式近似算法。最后,广泛的实验结果验证了所提出的算法的有效性和收敛性。

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