Optimizing Bulk Transfers with Software-Defined Optical WAN

Optimizing Bulk Transfers with Software-Defined Optical WAN
复制标题

DOI:
10.1145/2934872.2934904
复制
发表时间:
2016-08
期刊:
Proceedings of the 2016 ACM SIGCOMM Conference
影响因子:
--
通讯作者:
Xin Jin;Yiran Li;Da Wei;Siming Li;Jie Gao;Lei Xu;Guangzhi Li;W. Xu;J. Rexford
Xin Jin;Yiran Li;Da Wei;Siming Li;Jie Gao;Lei Xu;Guangzhi Li;W. Xu;J. Rexford
中科院分区:
其他
文献类型:
--
作者:
Xin Jin;Yiran Li;Da Wei;Siming Li;Jie Gao;Lei Xu;Guangzhi Li;W. Xu;J. Rexford

文献摘要

被引文献

相似文献

广域网 (WAN) 上的批量传输是许多全球分布式应用程序的一项基本服务。有效利用昂贵的 WAN 带宽来缩短传输完成时间并满足关键任务的最后期限是一项挑战。软件定义网络(SDN)和光硬件的进步使得在光层快速重新配置光设备变得可行且有益,这为广域网流量管理带来了新的机会。我们推出了 Owan,一种新颖的流量管理系统,可通过光层和网络层的集中联合控制来优化广域批量传输。 \sysname 可以通过重新配置光设备来动态改变网络层拓扑。我们开发高效的算法来联合优化光路设置、路由和速率分配,并动态地适应流量需求的变化。我们用商品光学和电气硬件构建了 Owan 原型。对两种 ISP 拓扑和一种 DC 间拓扑的测试台实验和大规模模拟表明,与仅控制网络层的先前方法相比,\sysname 完成传输的速度平均提高了 4.45 倍,并且按时完成的传输数量提高了 1.36 倍。
Bulk transfer on the wide-area network (WAN) is a fundamental service to many globally-distributed applications. It is challenging to efficiently utilize expensive WAN bandwidth to achieve short transfer completion time and meet mission-critical deadlines. Advancements in software-defined networking (SDN) and optical hardware make it feasible and beneficial to quickly reconfigure optical devices in the optical layer, which brings a new opportunity for traffic management on the WAN. We present Owan, a novel traffic management system that optimizes wide-area bulk transfers with centralized joint control of the optical and network layers. \sysname can dynamically change the network-layer topology by reconfiguring the optical devices. We develop efficient algorithms to jointly optimize optical circuit setup, routing and rate allocation, and dynamically adapt them to traffic demand changes. We have built a prototype of Owan with commodity optical and electrical hardware. Testbed experiments and large-scale simulations on two ISP topologies and one inter-DC topology show that \sysname completes transfers up to 4.45x faster on average, and up to 1.36x more transfers meet their deadlines, as compared to prior methods that only control the network layer.