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Tabu Search for Efficient Service Function Chain Provisioning in Fog Networks

机译:禁忌搜索在雾网络中高效的服务功能链配置

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Fog computing places computation/storage resources at the network edge to overcome delay limitations associated with cloud computing. Namely, fog-based services can provide more responsive relay and caching and alleviate loads at core cloud datacenters. Meanwhile, technologies such as network function virtualization (NFV) are virtualizing atomic network functions and allowing provides to build customized service function chains (SFC). Hence combining NFV with fog computing allows providers to share critical edge resources across clients and achieve much more flexible service designs. However, few efforts have looked at SFC provisioning in fog domains. Hence this paper presents one of the first studies in this area, detailing a Tabu search for virtual function placement and heuristic routing schemes with load balancing for efficient resource utilization. Results show reduced processing and propagation times, and lower energy consumption versus cloud-based methods.
机译:雾计算将计算/存储资源放置在网络边缘,以克服与云计算相关的延迟限制。即,基于雾的服务可以提供更响应的中继和缓存,并减轻核心云数据中心的负载。同时,诸如网络功能虚拟化(NFV)之类的技术正在虚拟化原子网络功能,并允许提供者构建定制的服务功能链(SFC)。因此,将NFV与雾计算结合使用可使提供商在客户端之间共享关键的边缘资源,并实现更加灵活的服务设计。但是,很少有努力研究雾域中的SFC设置。因此,本文提出了该领域的首批研究之一,详细介绍了禁忌搜索虚拟功能放置和具有负载平衡的启发式路由方案,以实现有效的资源利用。结果显示与基于云的方法相比,减少了处理和传播时间,并降低了能耗。

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