Optical Multicast System for Data Center Networks References and Links-猫眼课题宝

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The Journal of Neuroscience

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Payman Samadi;Varun Gupta;Junjie Xu;Howard Wang;G. Zussman;K. Bergman;K. D. Kilper;V. W. Bergman;I. Chan;G. Monga;K. Porter;Rauschenbach;S. A. Weil;S. Brandt;E. L. Miller;D. D. E. Long-D.;C. Maltzahn;M Chowdhury;M. Zaharia;J. Ma;M. Jordan;I. Stoica;H Mcbride;H. Liu;C Diot;B. N. Levine;B. Lyles;H. Kassem;D. Balensiefen;X Li;M. Freedman;U. Li;Y. Li;J. Wu;S. Su;J. Yu;J Cao;C. Guo;G. Lu;Y. Xiong;Y. Zheng;Y. Zhang;Y. Zhu;C. Chen;A Greenberg;J. Hamilton;N. Jain;S. Kandula;C. Kim;P. Lahiri;D. A. Maltz;P. Patel;S. Sengupta;M Al-Fares;A. Loukissas;A. Vahdat;N Farrington;G. Porter;S. Radhakrishnan;H. Bazzaz;V. Subramanya;Y. Fainman;G. Papen;G Wang;D. G. Andersen;M. Kaminsky;K. Papagiannaki;T. Ng;M. Kozuch;M. Ryan;Wang;Y. Xia;K. Bergman;S. Sahu;K. Sripanidkulchai;P Samadi;V. Gupta;B. Birand;H. Wang;G. Zussman;L H Sahasrabuddhe;B. Mukherjee;N Sambo;G. Meloni;G. Berrettini;F. Paolucci;A. Malacarne;A. Bogoni;F. Cugini;L. Potí;P. Castoldi;B Birand;C Lai;D. Brunina;B. Buckley;C. Ware;W. Zhang;A. Garg;B. Jalali;Y Luo;X. Zhou;F. Effenberger;X. Yan;G. Peng;Y. Qian;Y. Ma;N Mckeown;T. Anderson;H. Balakrishnan;G. Parulkar;L. Peterson;J. Rexford;S. Shenker;J. Turner;S Jain;A. Kumar;S. Mandal;J. Ong;L. Poutievski;A. Singh;S. Venkata;J. Wanderer;J. Zhou;M. Zhu;J. Zolla;U. Hölzle;S. Stuart;C.-Y Hong;R. Mahajan;M. Zhang;V. Gill;M. Nanduri;R. Wattenhofer;A. High;Y Li;L. Tong;Kim;C. Nuzman;B. Kumar;D. Lieuwen;J. Kraus;A. Weiss;C. Lichtenwalner;A. Papazian;R. E. Frahm;J. Gates;J. Xu;J. Hamilton;P. Parveen;Y Amir;L. Moser;P. Melliar-Smith;D. A. Agarwal;P. Ciarfella;H Takahashi;S. Suzuki;K. Kato;I. Nishi;G Baxter;S. Frisken;D. Abakoumov;H. Zhou;I. Clarke;A. Bartos;S. Poole

我们介绍了数据中心网络光组播系统的设计和实验评估，这是一种硬件软件系统架构，在混合网络架构中独特地集成了无源光分路器，以便更快、更简单地传输组播流量。应用驱动的控制平面管理数据平面层中的集成光学和电子交换流量路由。控制平面包括资源分配算法，以将分光器最佳地分配给流。硬件架构构建在混合网络上，其中包含电子分组交换 (EPS) 和光路交换 (OCS) 网络，以聚合架顶式交换机。 OCS 也是分路器与光网络的连接基板。光多播系统的实施仅需要商用光组件。我们构建了一个原型并开发了一个模拟环境来评估批量组播系统的性能。实验和数值结果表明，组播流以稳定的吞吐量同时传送到所有接收者。与电子组播的IP组播相比，光组播的协议复杂性更低，能耗也更低。与点对点多播方法相比，它可以为 250 MB 以下的流实现至少高一个数量级的吞吐量，同时连接开销显着减少。此外，在传输仅包含15%组播流的20TB数据时，与采用单一无阻塞EPS网络的数据中心相比，总传输能耗降低了50%，延迟降低了55%。与 Orchestra 一起管理计算机集群中的数据传输，“SIGCOMM Comput.13”。 Twitter 谋杀：使用 BitTorrent 快速部署数据中心代码，“ESM：高效且可扩展的数据中心多播路由”，ACM Trans。 Datacast：面向数据中心的可扩展且高效可靠的组数据交付服务，“IEEE J. 可扩展的商品数据中心网络架构”，SIGCOMM Comput。 “Helios：用于模块化数据中心的混合电气/光学交换机架构”，SIGCOMM Comput。交流。重新思考未来十年数据中心网络的物理层：使用光学实现高效的 *-cast 连接，“SIGCOMM Comput。使用物理层光学加速数据密集型应用的组播和组播流量传输”，“演示具有和不具有频率转换的 100 和 200 Gb/s 光学组播的数据和控制平面”，“IEEE J. 跨层网络节点的首次演示”，J. 时分和波分用于下一代 PON 第 2 阶段 (NG-PON2) 的多工无源光网络 (TWDM-PON)，“J. B4：经验……

We present the design and experimental evaluation of an Optical Multicast System for Data Center Networks, a hardware-software system architecture that uniquely integrates passive optical splitters in a hybrid network architecture for faster and simpler delivery of multicast traffic flows. An application-driven control plane manages the integrated optical and electronic switched traffic routing in the data plane layer. The control plane includes a resource allocation algorithm to optimally assign optical splitters to the flows. The hardware architecture is built on a hybrid network with both Electronic Packet Switching (EPS) and Optical Circuit Switching (OCS) networks to aggregate Top-of-Rack switches. The OCS is also the connectivity substrate of splitters to the optical network. The optical multicast system implementation requires only commodity optical components. We built a prototype and developed a simulation environment to evaluate the performance of the system for bulk multicasting. Experimental and numerical results show simultaneous delivery of multicast flows to all receivers with steady throughput. Compared to IP multicast that is the electronic counterpart, optical multicast performs with less protocol complexity and reduced energy consumption. Compared to peer-to-peer multicast methods, it achieves at minimum an order of magnitude higher throughput for flows under 250 MB with significantly less connection overheads. Furthermore, for delivering 20 TB of data containing only 15% multicast flows, it reduces the total delivery energy consumption by 50% and improves latency by 55% compared to a data center with a sole non-blocking EPS network. Managing data transfers in computer clusters with orchestra, " SIGCOMM Comput. 13. " Twitter murder: Fast data center code deploy using bittorrent, " ESM: efficient and scalable data center multicast routing, " ACM Trans. Datacast: a scalable and efficient reliable group data delivery service for data centers, " IEEE J. A scalable, commodity data center network architecture, " SIGCOMM Comput. " Helios: A hybrid electrical/optical switch architecture for modular data centers, " SIGCOMM Comput. Commun. Rethinking the physical layer of data center networks of the next decade: Using optics to enable efficient *-cast connectivity, " SIGCOMM Comput. Accelerating incast and multicast traffic delivery for data-intensive applications using physical layer optics, " in Demonstration of data and control plane for optical multicast at 100 and 200 Gb/s with and without frequency conversion, " IEEE J. First demonstration of a cross-layer enabled network node, " J. Time-and wavelength-division mul-tiplexed passive optical network (TWDM-PON) for next-generation PON stage 2 (NG-PON2), " J. B4: Experience …

Optical Multicast System for Data Center Networks References and Links

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