Towards Software Defined Measurement in Data Centers: A Comparative Study of Designs, Implementation, and Evaluation
Towards Software Defined Measurement in Data Centers: A Comparative Study of Designs, Implementation, and Evaluation
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DOI：
10.1109/tcc.2022.3181890
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发表时间：
2023-04
影响因子：
6.5
通讯作者：
Zili Zha;An Wang;Yang Guo;Songqing Chen
中科院分区：
文献类型：
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作者：
Zili Zha;An Wang;Yang Guo;Songqing Chen
云数据中心越来越多地采用软件定义网络（SDN）技术进行底层连接和通信。然而，作为此类数据中心的日常运营和管理的关键部分，网络测量是必不可少的，但通常受到传统网络设备中可用资源的限制。因此，如何在保持及时和准确测量的同时适当地平衡资源消耗仍然是数据中心系统的挑战。软件定义网络（SDN）的最新进展已经实现了灵活且可编程的网络测量，其被称为软件定义测量（SDM）。SDM的一个有前途的趋势是在数据中心中广泛部署的Open vSwitch（OVS）上进行网络流量测量。然而，很少有人关注的设计方案进行交通测量的OVS。在这项研究中，我们将探讨不同的设计，并调查相应的权衡之间的资源消耗，测量精度，实现的复杂性，并对切换速度的影响。通过大量的实验和比较，我们定量地显示了各种权衡，不同的计划罢工，以平衡，并证明了仪器OVS的监测能力的可行性。这些结果提供了有价值的见解，设计将最好地满足不同的测量和监测需求。
Cloud data centers are increasingly adopting the Software-Defined Networking (SDN) technologies for their underlying connection and communications. However, as a critical part of daily operations and management of such data centers, the network measurement is essential but has often been constrained by the available resources in the traditional network devices. Thus, how to properly balance the resource consumption while maintain timely and accurate measurement remains a challenge to data center systems. Recent advances in Software-Defined Networking (SDN) have enabled flexible and programmable network measurement, which is referred to as Software Defined Measurement (SDM). A promising trend for SDM is to conduct network traffic measurement on widely deployed Open vSwitches (OVS) in data centers. However, little attention has been paid to the design options for conducting traffic measurement on the OVS. In this study, we set to explore different designs and investigate the corresponding trade-offs among resource consumption, measurement accuracy, implementation complexity, and impact on switching speed. Through extensive experiments and comparisons, we quantitatively show the various trade-offs that the different schemes strike to balance, and demonstrate the feasibility of instrumenting OVS with monitoring capabilities. These results provide valuable insights into which design will best serve different measurement and monitoring needs.