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An Approach for Service Function Chain Routing and Virtual Function Network Instance Migration in Network Function Virtualization Architectures

机译:网络功能虚拟化架构中服务功能链路由与虚拟功能网络实例迁移的方法

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Network function virtualization foresees the virtualization of service functions and their execution on virtual machines. Any service is represented by a service function chain (SFC) that is a set of VNFs to be executed according to a given order. The running of VNFs needs the instantiation of VNF Instances (VNFIs) that in general are software modules executed on virtual machines. The virtualization challenges include: 1) where to instantiate VNFIs; ii) how many resources to allocate to each VNFI; iii) how to route SFC requests to the appropriate VNFIs in the right sequence; and iv) when and how to migrate VNFIs in response to changes to SFC request intensity and location. We develop an approach that uses three algorithms that are used back-to-back resulting in VNFI placement, SFC routing, and VNFI migration in response to changing workload. The objective is to first minimize the rejection of SFC bandwidth and second to consolidate VNFIs in as few servers as possible so as to reduce the energy consumed. The proposed consolidation algorithm is based on a migration policy of VNFIs that considers the revenue loss due to QoS degradation that a user suffers due to information loss occurring during the migrations. The objective is to minimize the total cost given by the energy consumption and the revenue loss due to QoS degradation. We evaluate our suite of algorithms on a test network and show performance gains that can be achieved over using other alternative naive algorithms.
机译:网络功能虚拟化预见了服务功能的虚拟化及其在虚拟机上的执行。任何服务都由服务功能链(SFC)表示,该服务功能链是要根据给定顺序执行的一组VNF。 VNF的运行需要实例化VNF实例(VNFI),这些实例通常是在虚拟机上执行的软件模块。虚拟化挑战包括:1)在何处实例化VNFI; ii)为每个VNFI分配多少资源; iii)如何以正确的顺序将SFC请求路由到适当的VNFI; iv)何时以及如何迁移VNFI,以响应SFC请求强度和位置的更改。我们开发了一种方法,该方法使用了三种算法,这些算法被背对背使用,以响应不断变化的工作负载而导致VNFI放置,SFC路由和VNFI迁移。目的是首先最大程度地减少对SFC带宽的拒绝,其次是在尽可能少的服务器中整合VNFI,以减少能耗。所提出的合并算法基于VNFI的迁移策略,该策略考虑了由于迁移过程中发生的信息丢失而使用户遭受的QoS下降所导致的收入损失。目的是最大程度地减少能耗和由于QoS降低而导致的收入损失所带来的总成本。我们在测试网络上评估了我们的算法套件,并显示了可以通过使用其他替代朴素算法获得的性能提升。

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