Improving the Safety, Scalability, and Efficiency of Network Function State Transfers

Aaron Gember, Aditya Akella
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引用次数: 45

Abstract

Several frameworks have been proposed to orchestrate the transfer of internal state between network function (NF) instances. Unfortunately, these frameworks suffer from safety, efficiency, and scalability problems due to their excessive use of packet buffering. We propose two novel enhancements, packet reprocessing and peer-to-peer transfers, to address these issues. We show these enhancements reduce the average per-packet latency overhead by up to 92% and state transfer times by up to 70%.
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提高网络功能状态传输的安全性、可扩展性和效率
已经提出了几个框架来协调网络函数(NF)实例之间的内部状态传输。不幸的是,由于过度使用数据包缓冲,这些框架在安全性、效率和可伸缩性方面存在问题。为了解决这些问题,我们提出了两个新的增强功能,数据包再处理和点对点传输。我们显示,这些增强将平均每个数据包的延迟开销减少了92%,状态传输时间减少了70%。
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CO-REDUCE: Collaborative Redundancy Reduction Service in Software-Defined Networks Improving the Safety, Scalability, and Efficiency of Network Function State Transfers Proceedings of the 2015 ACM SIGCOMM Workshop on Hot Topics in Middleboxes and Network Function Virtualization Towards a Safe Playground for HTTPS and Middle Boxes with QoS2 Stateless Network Functions
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