Opportunistic Network Sharing for Transporting Smart Grid Data Traffic

V. Dev, Uddipan Das, V. Namboodiri
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Abstract

With the inception of smart grid technologies, electric utilities have been attempting multifarious mechanisms to transport information from data generating entities to their information control centers. One such approach for carrying application data is to lease communication network capacity from Internet service providers (ISPs). Such dedicated capacity reservations on communication networks can be a costly proposition for electric utilities. This work proposes an alternative paradigm that takes advantage of the elastic nature of smart grid data traffic flows to piggyback (with authorization) on ISP networks without impacting the QoS of the primary flows on that network. Such an opportunistic scheme is expected to reduce operational costs for utilities to carry smart grid data traffic while providing guarantees to ISPs that their primary flows will be unaffected. The proposed opportunistic network sharing scheme builds upon a software-defined networking (SDN) approach at an intermediate router to provide QoS guarantees for regular ISP traffic. To mitigate the inevitable throttling of smart grid traffic during times of high network utilization in the shared network, a data granularity management algorithm is proposed that gracefully reduces the data granularity of smart grid (SG) data traffic in preemptive fashion in an attempt to meet application QoS needs.
传输智能电网数据流量的机会网络共享
随着智能电网技术的出现,电力公司一直在尝试采用多种机制将信息从数据生成实体传输到其信息控制中心。传输应用程序数据的一种方法是从互联网服务提供商(isp)那里租用通信网络容量。对电力公司来说,在通信网络上预留这种专用容量可能是一项代价高昂的提议。这项工作提出了一种替代范例,该范例利用智能电网数据流量流的弹性特性(带授权)在ISP网络上进行承载,而不会影响该网络上主要流的QoS。这样的机会主义方案有望降低公用事业公司承载智能电网数据流量的运营成本,同时向互联网服务提供商提供保证,确保其主要流量不受影响。提出的机会网络共享方案建立在中间路由器上的软件定义网络(SDN)方法的基础上,为常规ISP流量提供QoS保证。为了缓解共享网络中智能电网流量在高网络利用率时期不可避免的节流问题,提出了一种数据粒度管理算法,以抢占的方式优雅地降低智能电网数据流量的数据粒度,以满足应用的QoS需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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