Resource allocation in electrical/optical hybrid switching data center networks
Resource allocation in electrical/optical hybrid switching data center networks
复制标题
电/光混合交换数据中心网络的资源分配
DOI：
10.1364/jocn.9.000648
复制
发表时间：
2017-08
影响因子：
5
通讯作者：
Hu Weisheng
中科院分区：
文献类型：
--
作者：
Feng Zhangxiao;Sun Weiqiang;Zhu Jie;Shao Junyi;Hu Weisheng
混合交换结合了电子分组交换和高速光电路交换的优势，因此被广泛认为是当前和未来数据中心网络（DCN）的经济有效的解决方案。在设计混合交换DCN时，必须知道应该将多少资源用于光电路交换和电子分组交换，以便可以满足两个平面中的性能要求，并且同时可以实现诸如使整个系统构建成本或功耗最小化的目标。在本文中，我们介绍了BLOC，阻塞损耗曲线，作为一种工具来表征混合开关DCN。有了BLOC，混合交换系统中的三个相互作用的组成部分-资源分配，业务划分和系统性能-可以自然地集成在一起，并一起研究。我们展示了如何BLOC可以用来获得可行的资源分配/交通分区组合。我们还展示了系统参数，如流到达特性，可能会影响资源分配和系统成本。我们的研究表明，满足第95百分位数的流量所需的资源总量可以低至第99.9百分位数的流量所需的60%。
Hybrid switching combines the strengths of electronic packet switching and high-speed optical circuit switching and is thus widely believed to be a cost-effective solution for current and future data center networks (DCNs). In designing a hybrid switching DCN, it is essential to know how many resources should be devoted to optical circuit switching and electronic packet switching so the performance requirements in both planes can be satisfied, and, at the same time, objectives such as minimizing the overall system building cost or the power consumption can be realized. In this paper, we introduce BLOC, the Blocking LOss Curve, as a tool to characterize hybrid switching DCNs. With BLOC, the three interacting components in hybrid switching systems—resource allocation, traffic partitioning, and system performance—can be naturally integrated and studied together. We show how BLOC can be used to obtain feasible resource allocation/traffic partition combinations. We also show how system parameters, such as flow arrival characteristics, may affect resource allocation and system costs. Our study reveals that the total amount of resource required to satisfy 95th percentile traffic can be as low as 60% of that required for 99.9th percentile traffic.
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BLOC：混合分组/电路交换网络的通用资源分配框架
影响因子：
5
作者：
Feng Zhangxiao;Sun Weiqiang;Hu Weisheng
通讯作者：
Hu Weisheng
DOI：
--
发表时间：
--
期刊：
The Journal of Neuroscience
影响因子：
--
作者：
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
通讯作者：
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
数据中心网络中时延敏感TCP的自适应标记阈值方法
影响因子：
8.7
作者：
Tao Zhang;Jianxin Wang;Jiawei Huang;Jianer Chen;Yi Pan
通讯作者：
Yi Pan
DOI：
10.2307/2982907
发表时间：
1991
期刊：
Manag. Sci.
影响因子：
--
作者：
J. Medhi
通讯作者：
J. Medhi
DOI：
--
发表时间：
--
期刊：
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影响因子：
--
作者：
通讯作者：
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