故障设备数据中心网络的容错地址配置

Xingyu Ma, Chengchen Hu, Kai Chen, Che Zhang, Hongtao Zhang, K. Zheng, Yan Chen, Xianda Sun
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引用次数: 14

摘要

地址自动配置是数据中心网络中的一个关键问题,在数据中心网络中,服务器和交换机将拓扑信息编码为其路由地址。最近的一项工作DAC[2]已经被引入来解决这个问题。DAC可以快速自动配置所有设备,不会出现故障。但是一旦发生故障,DAC需要大量的人力来纠正故障,并可能导致整个数据中心的运行延迟。在本文中,我们进一步优化了地址自动配置过程,即使存在故障。而不是等待所有的故障被纠正,我们可以首先配置不涉及故障的设备,并让它们首先工作。这个想法可以转化为相当大的实际好处,因为在大多数情况下,数据中心的故障只占很小的一部分。为了实现这一思想,我们在概念上从物理数据中心拓扑图中去除故障,并在数学上将地址配置问题转化为诱导子图同构问题,该问题是np完全的。然后,利用数据中心拓扑特性和诱导子图特性,提出了一种快速求解诱导子图同构的算法。我们在具有各种故障场景的代表性数据中心结构上广泛评估我们的设计。评估结果表明,所提出的框架和算法在处理存在误差设备的映射任务时是高效且无需人工的。
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Error Tolerant Address Configuration for Data Center Networks with Malfunctioning Devices
Address auto-configuration is a key problem in data center networks, where servers and switches encode topology information into their addresses for routing. A recent work DAC [2] has been introduced to address this problem. Without malfunctions, DAC can auto-configure all the devices quickly. But in case of malfunctions, DAC requires significant human efforts to correct malfunctions and it can cause substantial operation delay of the whole data center. In this paper, we further optimize address auto-configuration process even in the presence of malfunctions. Instead of waiting for all the malfunctions to be corrected, we could first configure the devices that are not involved in malfunctions and let them work first. This idea can be translated to considerable practical benefits because in most cases malfunctions in data centers only account for a very small portion. To realize the idea, we conceptually remove the malfunctions from the physical data center topology graph and mathematically convert the address configuration problem into induced sub graph isomorphism problem, which is NP-complete. We then introduce an algorithm that can solve the induced sub graph isomorphism quickly by taking advantage of data center topology characteristics and induced sub graph properties. We extensively evaluate our design on representative data center structures with various malfunction scenarios. The evaluation results demonstrate that the proposed framework and algorithm are efficient and labor-free to deal with the mapping task in the presence of error devices.
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