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Design of light-tree based optical inter-datacenter networks

机译:基于光树的光学数据中心间网络的设计

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摘要

Nowadays, people's daily lives are increasingly dependent on Internet applications provided by cloud service providers that replicate their content among geographically distributed datacenters using inter-datacenter wide area networks to meet performance and reliability requirements. This paper provides means for efficient design of inter-datacenter networks with static traffic scenarios, where unicast and multicast connection requests are known a priori along with their start and end times. Also, the optical channel setup/teardown time is given. Integer linear programming (ILP) formulations that consider light-tree and lightpath connections are developed to minimize the network resource consumption. Since solving ILP formulations is time consuming for large networks, we also propose efficient heuristic algorithms. We demonstrate by simulations an advantage in efficiency for a light-tree based heuristic algorithm over its lightpath counterpart. This is due to its ability to construct and extend light-trees to groom more connections. Both heuristic algorithms perform very close to the corresponding ILP optimal results in the case of a small network.
机译:如今,人们的日常生活越来越依赖于云服务提供商提供的Internet应用程序,后者使用数据中心间广域网在地理分布的数据中心之间复制其内容,以满足性能和可靠性要求。本文提供了在静态流量情况下高效设计数据中心间网络的方法,其中先验已知单播和多播连接请求及其开始和结束时间。另外,给出了光通道建立/拆卸时间。开发了考虑光树和光路连接的整数线性规划(ILP)公式,以最大程度地减少网络资源消耗。由于解决ILP公式对于大型网络而言非常耗时,因此我们还提出了有效的启发式算法。通过仿真,我们证明了基于光树的启发式算法在效率上优于其光路径副本的优势。这是由于其能够构造和扩展光树以修饰更多连接的能力。在小型网络中,这两种启发式算法的性能都非常接近相应的ILP最佳结果。

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