Understanding Lifecycle Management Complexity of Datacenter Topologies
Understanding Lifecycle Management Complexity of Datacenter Topologies
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发表时间：
2019
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通讯作者：
Mingyang Zhang;Radhika Niranjan Mysore;Sucha Supittayapornpong;R. Govindan
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作者：
Mingyang Zhang;Radhika Niranjan Mysore;Sucha Supittayapornpong;R. Govindan
最近的数据中心拓扑设计主要关注延迟和吞吐量等性能属性。在本文中，我们探索了一个新的维度，生命周期管理复杂性，它试图理解部署拓扑和扩展拓扑的复杂性。通过分析当前生命周期管理的实践，我们设计了生命周期管理的复杂性度量，并表明现有的拓扑类在某些度量上具有较低的生命周期管理复杂性，而在其他度量上则没有。受此启发，我们设计了一类新的拓扑FatClique，尽管它与现有拓扑的性能相当，但与我们所有的生命周期管理复杂性度量相当，或者优于它们。
Most recent datacenter topology designs have focused on performance properties such as latency and throughput. In this paper, we explore a new dimension, life cycle management complexity, which attempts to understand the complexity of deploying a topology and expanding it. By analyzing current practice in lifecycle management, we devise complexity metrics for lifecycle management, and show that existing topology classes have low lifecycle management complexity by some measures, but not by others. Motivated by this, we design a new class of topologies, FatClique, that, while being performance-equivalent to existing topologies, is comparable to, or better than them by all our lifecycle management complexity metrics.