Tripod: Towards a Scalable, Efficient and Resilient Cloud Gateway
Tripod: Towards a Scalable, Efficient and Resilient Cloud Gateway
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Tripod:迈向可扩展、高效且有弹性的云网关
DOI:
10.1109/jsac.2019.2894189
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发表时间:
2019-02
期刊:
影响因子:
--
通讯作者:
Hongxin Hu
中科院分区:
文献类型:
--
作者:
Menghao Zhang;Jun Bi;Kai Gao;Yi Qiao;Guanyu Li;Xiao Kong;Zhaogeng Li;Hongxin Hu
Cloud gateways are fundamental components of a cloud platform, where various network functions (e.g., L4/L7 load balancing, network address translation, stateful firewall, and SYN proxy) are deployed to process millions of connections and billions of packets. Providing <italic>high-performance</italic> and <italic>failure-resilient</italic> packet processing with a <italic>scalable traffic management</italic> mechanism is crucial to ensuring the quality of service of a cloud provider, and hence is of great importance. Many network functions nowadays are implemented in software with commodity servers for low cost and high flexibility. However, existing software-based network function frameworks oftentimes provide part of these features, while cannot satisfy all three requirements above simultaneously. To address these issues, in this paper, we introduce TRIPOD, a novel network function framework specialized for cloud gateways. Having identified the fundamental limitations of loosely coupling <italic>traffic</italic>, <italic>processing logic</italic> and <italic>state</italic>, TRIPOD jointly manages these three elements with the unique characteristics of cloud gateways, which is enabled by a <italic>simple, efficient traffic processing mechanism</italic>, and a <italic>high performance state management service</italic>. Adopting several effective techniques and optimizations, TRIPOD is able to achieve <italic>scalable traffic management</italic> (<100 flow rules for even ~Tbps traffic), <italic>high performance</italic> (reducing 40% of latency compared with state of the art) and <italic>failure resilience</italic> (similar packet/connection loss rate compared to state of the art), with reasonable overheads (less than 10% of the workload traffic) even under an extremely heavy traffic, making it a good fit for cloud gateways.
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DOI:
10.1109/wcnc.2018.8377297
发表时间:
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期刊:
2018 IEEE Wireless Communications and Networking Conference (WCNC)
影响因子:
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作者:
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期刊:
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影响因子:
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期刊:
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影响因子:
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影响因子:
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通讯作者:
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