Whose Fault is It? Correctly Attributing Outages in Cloud Services

M. Naldi, Matteo Adriani
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Abstract

Cloud availability is a major performance parameter in cloud Service Level Agreements (SLA). Its correct evaluation is essential to SLA enforcement and possible litigation issues. Current methods fail to correctly identify the fault location, since they include the network contribution. We propose a procedure to identify the failures actually due to the cloud itself and provide a correct cloud availability measure. The procedure employs tools that are freely available, i.e. traceroute and whois, and arrives at the availability measure by first identifying the boundaries of the cloud. We evaluate our procedure by testing it on three major cloud providers: Google Cloud, Amazon AWS, and Rackspace. The results show that the procedure arrives at a correct identification in 95% of cases. The cloud availability obtained in the test after correct identification lies between 3 and 4 nines for the three platforms under test.
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这是谁的错?正确地归因云服务中的中断
云可用性是云服务水平协议(SLA)中的一个主要性能参数。对其进行正确的评估对于SLA的执行和可能的诉讼问题至关重要。目前的方法包含了网络的贡献,无法正确定位故障。我们提出了一个过程来识别实际上由云本身引起的故障,并提供正确的云可用性度量。该程序使用免费提供的工具,即traceroute和whois,并通过首先确定云的边界来达到可用性度量。我们通过在三个主要云提供商(Google cloud、Amazon AWS和Rackspace)上进行测试来评估我们的流程。结果表明,该程序在95%的情况下达到了正确的识别。对于测试中的三个平台,在正确识别后,测试中获得的云可用性在3到4个9之间。
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