HyperSight: Towards Scalable, High-Coverage, and Dynamic Network Monitoring Queries
HyperSight: Towards Scalable, High-Coverage, and Dynamic Network Monitoring Queries
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HyperSight:实现可扩展、高覆盖率和动态网络监控查询
DOI:
10.1109/jsac.2020.2986690
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发表时间:
2020-04
影响因子:
16.4
通讯作者:
Cheng Zhang
中科院分区:
文献类型:
--
作者:
Yu Zhou;Jun Bi;Tong Yang;Kai Gao;Jiamin Cao;Dai Zhang;Yangyang Wang;Cheng Zhang
Performing fine-grained and real-time network monitoring is the core logic of various data center operation applications, such as traffic engineering, network troubleshooting, and anomaly detecting. However, the state-of-the-art network monitoring solutions either fall short of completely detecting all network incidents (i.e., congestion), yielding limited monitoring coverage, or introduce large overheads, yielding limited scalability. In this paper, we present HyperSight, a network traffic monitor with both high coverage and low overheads. The key idea of HyperSight is to monitor networks at the behavior level via tracking packet behavior changes. HyperSight proposes three designs for behavior-level monitoring. First, to facilitate expressing various network monitoring tasks, HyperSight presents a declarative query language based on the streaming processing model. Second, HyperSight proposes Bloom Filter Queue (BFQ), a memory-efficient algorithm to empower in-network capability for monitoring packet behavior changes. BFQ can be implemented on commodity programmable switches. Third, to support dynamic deployment and execution of packet behavior change monitoring tasks without interrupting on-service switches, HyperSight proposes virtual BFQ to support dynamic query compilation. We build a prototype of HyperSight and deploy it on commodity programmable switches. Evaluation results show that HyperSight supports a wide range of network event queries and can monitor over 99% packet behavior changes while keeping remarkably low overheads.
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发表时间:
2018-08
期刊:
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影响因子:
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影响因子:
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