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Inter- and intra-cloud resource allocation for delay sensitive industrial networks

机译:延迟敏感工业网络的云间资源分配

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Wireless network in the field of industrial process monitoring and control system is an emerging technology. Strict delay (up to 100ms) and reliability constraint call for specialized network architectures. In this paper, we focus on resource allocation problem for wireless communication scenario referred to as Wireless Cloud Network (WCN). In WCN, coded messages are transmitted between sensors and the control center through a dense self-contained network by massively air-interacting relay nodes. We propose a real-time hierarchical scheduler that consists of inter- and intra- cloud scheduler, for multiple clouds scenario (topologically independent and autonomous). Basically, multiple clouds cooperate by jointly pooling and deploying their resources, and agree to exchange these resources to guarantee their mutual quality of service (QoS). Intra-cloud schedulers, one for each cloud, are coordinated by Inter-cloud scheduler as a global resource manager (GRM) to guarantee end-to-end QoS for each cloud. Numerical simulations validate the feasibility of the approach in the critical process control systems.
机译:工业过程监控系统领域的无线网络是一种新兴技术。严格延迟(高达100ms)和可靠性约束呼叫专门网络架构。在本文中,我们专注于无线通信场景的资源分配问题,称为无线云网络(WCN)。在WCN中,通过大量空气交互中继节点通过密集的自包含网络在传感器和控制中心之间传输编码消息。我们提出了一个实时分层调度程序,包括多个云场景(拓扑上独立和自主)的云间调度程序组成。基本上,多个云通过共同汇集和部署他们的资源,同意交换这些资源以保证其相互的服务质量(QoS)。云内调度器,一个用于每个云的调度程序由云间调度程序协调为全局资源管理器(GRM),以保证每个云的端到端QoS。数值模拟验证了关键过程控制系统中的方法的可行性。

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