skip to main content
10.1145/1921168.1921189acmconferencesArticle/Chapter ViewAbstractPublication PagesconextConference Proceedingsconference-collections
research-article

A cost comparison of datacenter network architectures

Published:30 November 2010Publication History

ABSTRACT

There is a growing body of research exploring new network architectures for the data center. These proposals all seek to improve the scalability and cost-effectiveness of current data center networks, but adopt very different approaches to doing so. For example, some proposals build networks entirely out of switches while others do so using a combination of switches and servers. How do these different network architectures compare? For that matter, by what metrics should we even begin to compare these architectures?

Understanding the tradeoffs between different approaches is important both for operators making deployment decisions and to guide future research. In this paper, we take a first step toward understanding the tradeoffs between different data center network architectures. We use high-level models of different classes of data center networks and compare them on cost using both current and predicted trends in cost and power consumption.

References

  1. Arista 7148sx. http://www.aristanetworks.com/media/system/pdf/7100_Datasheet.pdf.Google ScholarGoogle Scholar
  2. Arista networks. http://www.aristanetworks.com.Google ScholarGoogle Scholar
  3. AWS - High Performance Computing. http://aws.amazon.com/hpc-applications/.Google ScholarGoogle Scholar
  4. The degree/diameter problem. http://www-mat.upc.es/grup_de_grafs/table_g.html.Google ScholarGoogle Scholar
  5. Hotlava systems. http://www.hotlavasystems.com.Google ScholarGoogle Scholar
  6. Hotlava tambora 120g6. http://www.hotlavasystems.com/pdfs/HLS_TamboraDS.pdf.Google ScholarGoogle Scholar
  7. Intel corporation. http://www.intel.com.Google ScholarGoogle Scholar
  8. Intel shares vision for the future - "sandy bridge" project. http://www.intel.com/pressroom/archive/releases/20100412comp.htm.Google ScholarGoogle Scholar
  9. J. Nielsen Nielsen's Law of Internet Bandwidth, http://www.useit.com/alertbox/980405.html, 1998.Google ScholarGoogle Scholar
  10. Quanta. http://www.quantatw.com.Google ScholarGoogle Scholar
  11. Supermicro. http://www.supermicro.com.Google ScholarGoogle Scholar
  12. Cisco's Switch Market Grows but Competition Increases, 2010. http://seekingalpha.com/article/201675-cisco-s-switch-market-grows-but-competition-increases.Google ScholarGoogle Scholar
  13. Us energy information administration, 2010. http://www.eia.doe.gov/cneaf/electricity/epm/table5_6_a.html.Google ScholarGoogle Scholar
  14. H. Abu-Libdeh, P. Costa, A. Rowstron, G. O'Shea, and A. Donnelly. Symbiotic Routing in Future Data Centers. In ACM SIGCOMM, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. M. Al-Fares, A. Loukissas, and A. Vahdat. A scalable, commodity data center network architecture. In SIGCOMM. ACM, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. L. A. Barroso and U. Hölzle. The Case for Energy-Proportional Computing. Computer, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. T. Benson, A. Anand, A. Akella, and M. Zhang. Understanding Data Center Traffic Characteristics. In WREN, pages 65--72, New York, NY, USA, 2009. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Carrie Higbie. Are You Dense?, 2009. http://www.siemon.com/us/white_papers/05-09-26_dense.asp.Google ScholarGoogle Scholar
  19. Cisco. Data center infrastructure 2.5 design guide. 2010.Google ScholarGoogle Scholar
  20. M. Dobrescu, N. Egi, K. Argyraki, B.-g. Chun, K. Fall, G. Iannaccone, A. Knies, M. Manesh, and S. Ratnasamy. RouteBricks: Exploiting Parallelism to Scale Software Routers. In ACM SOSP, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. J. M. González, V. Paxson, and N. Weaver. Shunting: a hardware/software architecture for flexible, high-performance network intrusion prevention. In ACM Conference on Computer and Communications Security. ACM, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. A. Greenberg, J. Hamilton, D. A. Maltz, and P. Patel. The Cost of a Cloud: Research Problems in Data Center Networks. SIGCOMM Comput. Commun. Rev., 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. A. Greenberg, J. R. Hamilton, N. Jain, S. Kandula, C. Kim, P. Lahiri, D. A. Maltz, P. Patel, and S. Sengupta. VL2: A Scalable and Flexible Data Center Network. ACM SIGCOMM, August 17--21 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. C. Guo, G. Lu, D. Li, H. Wu, X. Zhang, Y. Shi, C. Tian, Y. Zhang, and S. Lu. BCube: A High Performance, Server-centric Network Architecture for Modular Data Centers. ACM SIGCOMM, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. C. Guo, H. Wu, K. Tan, L. Shi, Y. Zhang, and S. Lu. Dcell: A Scalable and Fault-tolerant Network Structure for Data Centers. In SIGCOMM. ACM, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. S. Han, K. Jang, K. Park, and S. Moon. PacketShader: a GPU-Accelerated Software Router. In ACM SIGCOMM, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. R. Hays. Active/Idle Toggling with Low-Power Idle, http://www.ieee802.org/3/az/public/jan08/hays_01_0108.pdf, 2008.Google ScholarGoogle Scholar
  28. U. Hoelzle and L. A. Barroso. The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines. Morgan and Claypool Publishers, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. J. Touch and R. Perlman. RFC5556 - Transparent Interconnection of Lots of Links (TRILL): Problem and Applicability Statement, May 2009. http://tools.ietf.org/html/rfc5556.Google ScholarGoogle Scholar
  30. S. Kandula, J. Padhye, and P. Bahl. Flyways to de-congest data center networks. In HotNets, 2009.Google ScholarGoogle Scholar
  31. C. Kim, M. Caesar, and J. Rexford. Floodless in seattle: a scalable ethernet architecture for large enterprises. In SIGCOMM. ACM, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. P. Mahadevan, P. Sharma, S. Banerjee, and P. Ranganathan. A power benchmarking framework for network devices. In L. Fratta, H. Schulzrinne, Y. Takahashi and O. Spaniol, editors, Networking, volume 5550 of Lecture Notes in Computer Science. Springer, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. R. N. Mysore, A. Pamboris, N. Farrington, N. Huang, P. Miri, S. Radhakrishnan, V. Subramanya, and A. Vahdat. Portland: a scalable fault-tolerant layer 2 data center network fabric. In SIGCOMM, New York, NY, USA, 2009. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. L. Popa, N. Egi, S. Ratnasamy, and I. Stoica. Building Extensible Networks with Rule-Based Forwarding. In USENIX OSDI, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. SGI. http://www.sgi.com/.Google ScholarGoogle Scholar
  36. M. Sridar. The Undirected de Bruijn Graph: Fault Tolerance and Routing Algorithms. IEEE Trans. on Circuits and Systems-1: Fundamentr J Theory and Applications, 1992.Google ScholarGoogle Scholar
  37. Srikanth K and Sudipta Sengupta and Albert Greenberg and Parveen Patel and Ronnie Chaiken. The Nature of Datacenter Traff c: Measurements & Analysis. In IMC: Internet Measurement Conference. ACM, November 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Thinkmate Blade Servers. http://www.thinkmate.com/Computer_Systems/Blade_Servers.Google ScholarGoogle Scholar

Index Terms

  1. A cost comparison of datacenter network architectures

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        Co-NEXT '10: Proceedings of the 6th International COnference
        November 2010
        349 pages
        ISBN:9781450304481
        DOI:10.1145/1921168

        Copyright © 2010 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 30 November 2010

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate198of789submissions,25%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader