软件定义流量负载均衡,实现经济高效的数据中心互连服务

Young-Jin Kim, J. Simsarian, M. Thottan
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引用次数: 4

摘要

为了实现地理位置分散的数据中心之间的互连,网络运营商通常在广域网中实现多条光路。例如,当传输波长粒度为100gb /s时,提供3条100gb /s波长路径,以满足客户300gb /s的需求。在多个提供的路径上,互连流量通常使用逐流散列进行分布,这将导致由于散列冲突导致的流量分布不均匀。对于数据中心位置之间数量相对较少的高带宽流量(> 1 Gb/s),每个流散列在带宽利用率和可用性方面表现不佳。我们提出了新的软件定义的流量负载均衡器SD-TLB,它在多条光路上执行基于测量的流量分配,并使用可用路径上的每个端口统计数据和立即调整到当前网络状态的流量重新分配器来进行隐式损伤检测方法。虽然我们的方法不能提供与1+1光保护相同级别的保护,但它可以以较低的成本为数据中心互连提供必要的冗余。我们利用基于asic的交换机和通过波分复用传输网络连接的开放式虚拟交换机进行SD-TLB的实验实现。实验结果表明,SD-TLB在存在中断和损坏的情况下,在平衡、吞吐量和恢复方面优于目前基于散列的替代方案,从而实现了更高的成本效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Software-defined traffic load balancing for cost-effective data center interconnection service
For interconnection between geographically-separated data centers, network carriers typically implement multiple optical paths in a wide-area network. For example, when transmission wavelengths have 100 Gb/s granularity, three 100 Gb/s wavelength paths are provisioned to satisfy a customer demand of 300 Gb/s. Over the multiple provisioned paths, interconnection traffic is typically distributed using per-flow hashing, which results in an uneven distribution of traffic caused by hash collisions. For a relatively-few number of high-bandwidth traffic flows (> 1 Gb/s) between data center locations, per-flow hashing can perform poorly in terms of bandwidth utilization and availability. We propose new software-defined traffic load balancer, SD-TLB, that performs measurement-based flow distribution over multiple optical paths, with an implicit impairment detection method using per-port statistics on available paths and a flow redistributor that is immediately adjusted to the current network state. While our approach does not provide the same level of protection as 1+1 optical protection, it can provide the necessary redundancy for data center inter-connection at a lower cost. We experimentally implement the SD-TLB using ASIC-based switches and open virtual switches interconnected by wavelength-division multiplexed transport network test-bed. The experimental results show that SD-TLB outperforms today's hashing-based alternatives in balancing, throughput, and restoration in the presence of outages and impairments and as a result achieves improved cost-efficiency.
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