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Transparent flow migration for NFV

机译:NFV的透明流迁移

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NFV together with SDN provides the flexibility for NFs in the way that they are deployed and managed. The flexibility enables dynamical scale in and scale out through migrating in-process flows among NFs. Due to stateful packet processing in NFs, flow migration has to guarantee loss-free and order-preserving for both flow states and packets. Existing frameworks closely coupled state transfer and packets migration, and thus fail to achieve safe and efficient migration with low overhead. This paper presents our design and implementation of a distributed flow migration framework, Transparent Flow Migration (TFM). TFM completely decouples the state transfer and packets migrations. The decoupling allows us to optimize the two processes separately and run them in parallel. TFM implements various optimizations through the TFM box, a shim layer providing transparent packet migration to NFs. Our evaluation shows that TFM guarantees loss-free and order-preserving for both scale-in and scale-out flow migration, and outperforms existing approaches with 3× smaller migration time. Besides, TFM uses small overhead and has very limited impacts on throughput of live TCP flows.
机译:NFV与SDN一起为NF部署和管理提供了灵活性。灵活性可通过在NF之间迁移进程中的流程来动态放大和缩小。由于NF中的状态数据包处理,流迁移必须确保流状态和数据包均无损失且保持顺序。现有的框架将状态转移和分组迁移紧密耦合,因此无法以低开销实现安全有效的迁移。本文介绍了我们的分布式流迁移框架“透明流迁移(TFM)”的设计和实现。 TFM完全解耦了状态传输和数据包迁移。解耦使我们可以分别优化两个过程并并行运行它们。 TFM通过TFM盒(垫片层提供向NF的透明数据包迁​​移)实现了各种优化。我们的评估表明,TFM保证了向内扩展和向外扩展流程迁移的无损失和顺序保留,并且以3倍的迁移时间缩短了现有方法的性能。此外,TFM使用的开销很小,并且对实时TCP流的吞吐量的影响非常有限。

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