Do You Get What You Pay For? Using Proof-of-Work Functions to Verify Performance Assertions in the Cloud

Falk Koeppe, Jörg Schneider
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引用次数: 15

Abstract

In the Cloud, the operators usually offer resources on a pay per use price model. The client gets access to a newly created virtual machine and has no direct access to the underlying hardware. Therefore, the client cannot verify whether the Cloud operator provides the negotiated amount of resources or only a fraction thereof. Especially, the assigned share of CPU time can be easily forged by the operator. The client could use a normal benchmark to verify the performance of his virtual machine. However, as the Cloud operator owns the underlying infrastructure, the operator could also tamper with the benchmark execution. We identified four attack vectors to modify the results of the benchmark. Based on these attack vectors, we showed that using proof-of-work functions can disable three of them. Proof-of-work functions are challenge response systems, where it is simple to generate a challenge and verify the result while solving the challenge is compute intensive. We implemented three proof-of-work functions in a prototype benchmark. Experiments showed that the runtime of the proof-of-work functions sufficiently relates to the results of the reference benchmark suite SPEC CPU2006.
你得到了你所付出的吗?使用工作量证明函数来验证云中的性能断言
在云计算中,运营商通常以按次付费的价格模式提供资源。客户机可以访问新创建的虚拟机,但不能直接访问底层硬件。因此,客户端无法验证云运营商是否提供了协商好的资源量,或者只提供了其中的一小部分。特别是,分配的CPU时间份额很容易被操作员伪造。客户端可以使用普通基准测试来验证其虚拟机的性能。然而,由于云运营商拥有底层基础设施,运营商也可以篡改基准测试的执行。我们确定了四个攻击向量来修改基准测试的结果。基于这些攻击向量,我们展示了使用工作量证明函数可以禁用其中三个攻击向量。工作量证明函数是挑战响应系统,其中生成挑战并验证结果很简单,而解决挑战则是计算密集型的。我们在一个原型基准测试中实现了三个工作量证明函数。实验表明,工作量证明函数的运行时间与参考基准套件SPEC CPU2006的结果有充分的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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