Lazy Ctrl: Scalable Network Control for Cloud Data Centers

Lazy Ctrl: Scalable Network Control for Cloud Data Centers
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DOI:
10.1109/icdcs.2015.110
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发表时间:
2015-04
期刊:
2015 IEEE 35th International Conference on Distributed Computing Systems
影响因子:
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通讯作者:
Lin Wang;K. Zheng;Baohua Yang;Yi Sun;Yue Zhang-;S. Uhlig
Lin Wang;K. Zheng;Baohua Yang;Yi Sun;Yue Zhang-;S. Uhlig
中科院分区:
其他
文献类型:
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作者:
Lin Wang;K. Zheng;Baohua Yang;Yi Sun;Yue Zhang-;S. Uhlig

文献摘要

相似文献

软件定义网络的出现为数据中心网络提供了灵活、可靠和功能丰富的控制平面。然而,集中控制和完全可见性的紧密耦合导致了广泛的问题,其中可扩展性已经变得突出。我们观察到,数据中心的流量通常是高度偏斜的,因此边缘交换机可以根据流量的位置进行分组。因此,如果我们在这些组内进行分布式控制,中央控制器的工作量可以大大减少。基于上述观察,我们提出了LazyCtrl,一种新的混合控制平面设计的数据中心网络。LazyCtrl旨在通过动态地将大部分控制任务转移到独立的交换机组来使用分布式控制机制处理频繁的组内事件,同时由控制器处理罕见的组间事件或其他指定事件,从而将懒惰带到中央控制器。我们实现了LazyCtrl,并基于Open vSwich和Floodlight构建了一个原型。在我们的原型上进行的跟踪驱动实验表明,在多租户云中,有效的交换机分组很容易维护,中央控制器可以通过保持懒惰来显着屏蔽,其工作负载减少高达82%。
The advent of software defined networking enables flexible, reliable and feature-rich control planes for data center networks. However, the tight coupling of centralized control and complete visibility leads to a wide range of issues among which scalability has risen to prominence. We observe that data center traffic is usually highly skewed and thus edge switches can be grouped according to traffic locality. As a result, the workload of the central controller could be highly reduced if we carry out distributed control inside those groups. Based on the above observation, we present LazyCtrl, a novel hybrid control plane design for data center networks. LazyCtrl aims at bringing laziness to the central controller by dynamically devolving most of the control tasks to independent switch groups to process frequent intra-group events using distributed control mechanisms, while handling rare inter-group or other specified events by the controller. We implement LazyCtrl and build a prototype based on Open vSwich and Floodlight. Trace-driven experiments on our prototype show that an effective switch grouping is easy to maintain in multi-tenant clouds and the central controller can be significantly shielded by staying lazy, with its workload reduced by up to 82%.