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Exploitation of wavelength, hardware, and path redundancies in fault-tolerant all-optical DCNs

机译:容错全光DCN中波长,硬件和路径冗余的利用

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Data center performance is affected by three main factors; bandwidth, latency, and reliability of intra-data center interconnection network. Bandwidth and latency are definitely improved by adopting optical technology for intra-data center communication, but fault tolerance of the corresponding optical networks has been raised less. Recently, we introduced two Torus-based, all-optical, and non-blocking networks, i.e. O-TF and O-FTF, addressing reliability of optical networks, and now, in this paper, to address the scalability problem, we propose a novel Optical Clos-based architecture which reduces minimum number of required wavelength channels, as well as, the switch size in each node. Moreover, we examine three different types of redundancies; including (a) wavelength (adopted in O-TF network), (b) hardware (adopted in O-FTF network), and (c) path (adopted Optical Clos)) redundancies, in terms of throughput drop under failures, implementation cost, optical power loss, electrical power, latency, topology, and wiring complexity. In addition to simulating networks utilizing generated traffic based on Microsoft data, realistic traffic has also been considered. Our simulation results confirm that in addition to improving power consumption and latency, O-TF, O-FTF, and O-Clos architectures lead to throughput increment up to 80%, 90%, and 70%, respectively, comparing to WaveCube at the presence of network failure, as result of adopting our proposed fault-tolerant method, named as RAOP.
机译:数据中心的性能受三个主要因素影响;数据中心内部互连网络的带宽,延迟和可靠性。通过采用光学技术进行数据中心内通信,带宽和等待时间肯定会得到改善,但是相应光学网络的容错能力却得到了提高。最近,我们引入了两个基于Torus的全光非阻塞网络,即O-TF和O-FTF,以解决光网络的可靠性,现在,为了解决可扩展性问题,我们提出了一个新颖的基于光学Clos的体系结构,可减少所需波长通道的最小数量,以及每个节点中的开关尺寸。此外,我们研究了三种不同类型的冗余。包括(a)波长(在O-TF网络中采用),(b)硬件(在O-FTF网络中采用)和(c)路径(在光学闭合中采用)冗余,这些都是根据故障造成的吞吐量下降,实施成本,光功率损耗,电功率,等待时间,拓扑和布线复杂性。除了基于Microsoft数据模拟利用生成的流量的网络外,还考虑了实际流量。我们的仿真结果证实,与WaveCube相比,O-TF,O-FTF和O-Clos架构除了改善功耗和延迟之外,还分别导致吞吐量增加高达80%,90%和70%。由于采用了我们提出的容错方法,即RAOP,导致网络故障。

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