CLAudit: Planetary-scale cloud latency auditing platform

Ondrej Tomanek, L. Kencl
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引用次数: 16

Abstract

Latency is an important, yet often underestimated aspect of the nascent Cloud-Computing scenario. A cloud service based on processing in remote datacenters may exhibit latency and jitter which may be a compound result of many various components of the remote computation and intermediate communication. Our broad vision is to design and develop tools to monitor, model and optimize the global cloud-service latency. To this end, we introduce CLAudit, a prototype planetary-scale cloud-latency auditing platform. It utilizes the experimental PlanetLab network to place globally distributed probes that periodically measure cloud-service latency at various layers of the communication stack. We present CLAudit architecture in detail and show initial test-measurements of the MicrosoftWindows Azure cloud service, demonstrating the platform's practical usefulness by showcasing a few discovered anomalous results in the cloud-service latency measurements.
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CLAudit:行星级云延迟审计平台
延迟是新兴云计算场景的一个重要方面,但经常被低估。基于远程数据中心处理的云服务可能会出现延迟和抖动,这可能是远程计算和中间通信的许多不同组件的复合结果。我们的远大愿景是设计和开发工具来监控、建模和优化全球云服务延迟。为此,我们介绍了CLAudit,一个行星级云延迟审计平台的原型。它利用实验性PlanetLab网络放置全球分布式探测器,定期测量通信堆栈各层的云服务延迟。我们详细介绍了CLAudit架构,并展示了MicrosoftWindows Azure云服务的初始测试测量结果,通过展示在云服务延迟测量中发现的一些异常结果,展示了该平台的实用性。
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