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An Availability-Aware SFC Placement Algorithm for Fat-Tree Data Centers

机译:胖树数据中心的可用性感知SFC放置算法

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Complex inter-connections of virtual functions form the so-called Service Function Chains (SFCs) deployed in the Cloud. Such service chains are used for critical services like e-health or autonomous transportation systems and thus require high availability. Respecting some availability level is hard in general, but it becomes even harder if the operator of the service is not aware of the physical infrastructure that will support the service, which is the case when SFCs are deployed in multi-tenant data centers. In this paper, we propose an algorithm to solve the placement of topology-oblivious SFC demands such that placed SFCs respect availability constraints imposed by the tenant. The algorithm leverages Fat-Tree properties to be computationally doable in an online manner. The simulation results show that it is able to satisfy as many demands as possible by spreading the load between the replicas and enhancing the network resources utilization.
机译:虚拟功能的复杂互连形成了部署在云中的所谓服务功能链(SFC)。此类服务链用于关键服务,例如电子医疗或自动运输系统,因此需要高可用性。通常很难达到某种可用性级别,但是如果服务的运营商不了解将支持该服务的物理基础架构,则情况将变得更加困难,在多租户数据中心中部署SFC时就是这种情况。在本文中,我们提出一种算法来解决对拓扑不敏感的SFC需求的放置,以使放置的SFC遵守租户施加的可用性约束。该算法利用胖树属性以在线方式在计算上可行。仿真结果表明,通过在副本之间分散负载并提高网络资源利用率,它可以满足尽可能多的需求。

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