skip to main content
10.1145/2535372.2535375acmconferencesArticle/Chapter ViewAbstractPublication PagesconextConference Proceedingsconference-collections
research-article

Per-packet load-balanced, low-latency routing for clos-based data center networks

Authors Info & Claims
Published:09 December 2013Publication History

ABSTRACT

Clos-based networks including Fat-tree and VL2 are being built in data centers, but existing per-flow based routing causes low network utilization and long latency tail. In this paper, by studying the structural properties of Fat-tree and VL2, we propose a per-packet round-robin based routing algorithm called Digit-Reversal Bouncing (DRB). DRB achieves perfect packet interleaving. Our analysis and simulations show that, compared with random-based load-balancing algorithms, DRB results in smaller and bounded queues even when traffic load approaches 100%, and it uses smaller re-sequencing buffer for absorbing out-of-order packet arrivals. Our implementation demonstrates that our design can be readily implemented with commodity switches. Experiments on our testbed, a Fat-tree with 54 servers, confirm our analysis and simulations, and further show that our design handles network failures in 1-2 seconds and has the desirable graceful performance degradation property.

References

  1. M. Al-Fares, A. Loukissas, and A. Vahdat. A Scalable, Commodity Data Center Network Architecture. In SIGCOMM, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. M. Al-Fares, S. Radhakrishnan, B. Raghavan, N. Huang, and A. Vahdat. Hedera: Dynamic Flow Scheduling for Data Center Networks. In NSDI, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. M. Alizadeh, A. Greenberg, D. Maltz, J. Padhye, P. Patel, B. Prabhakar, S. Sengupta, and M. Sridharan. Data Center TCP (DCTCP). In SIGCOMM, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. M. Alizadeh, A. Kabbani, T. Edsall, B. Prabhakar, A. Vahdat, and M. Yasuda. Less is More: Trading a little Bandwidth for Ultra-Low Latency in the Data Center. In NSDI, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Amazon EC2. http://aws.amazon.com/ec2/.Google ScholarGoogle Scholar
  6. T. Benson, A. Anand, A. Akella, and M. Zhang. MicroTE: Fine Grained Traffic Engineering for Data Centers. In CoNEXT, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. B. Calder, J. Wang, A. Ogus, N. Nilakantan, A. Skjolsvold, S. McKelvie, Y. Xu, S. Srivastav, J. Wu, H. Simitci, et al. Windows Azure Storage: A Highly Available Cloud Storage Service with Strong Consistency. In SOSP, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Cisco. Per-packet load balancing. http://www.cisco.com/en/US/docs/ios/12 0s/feature/guide/pplb.html.Google ScholarGoogle Scholar
  9. C. Clos. A Study of Nonblocking Switching Networks. Bell Syst. Tech. J., 32(2), 1953.Google ScholarGoogle Scholar
  10. J. Dean and S. Ghemawat. MapReduce: Simplified Data Processing on Large Clusters. In OSDI, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. A. Dixit, P. Prakash, Y. C. Hu, and R. R. Kompella. On the Impact of Packet Spraying in Data Center Networks. In INFOCOM, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  12. A. Greenberg, N. Jain, S. Kandula, C. Kim, P. Lahiri, D. Maltz, P. Patel, and S. Sengupta. VL2: A Scalable and Flexible Data Center Network. In SIGCOMM, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. 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. In SIGCOMM, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. 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, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. J. Hamilton. 42: the answer to the ultimate question of life, the universe, and everything, Nov 2011.Google ScholarGoogle Scholar
  16. T. Hoff. Latency is Everywhere and it Costs You Sales - How to Crush it, July 2009. http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it.Google ScholarGoogle Scholar
  17. C. Hong, M. Caesar, and P. B. Godfrey. Finishing Flows Quickly with Preemptive Scheduling. In SIGCOMM, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. R. Kohavi and R. Longbotham. Online Epxeriments: Lessons Learned. IEEE Computer, September 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. S. Mahapatra and X. Yuan. Load Balancing Mechanisms in Data Center Networks. In CEWIT, Sept 2010.Google ScholarGoogle Scholar
  20. 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, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Juniper Networks. Overview of per-packet load balancing. http://www.juniper.net/techpubs/en US/junos11.2/topics/concept/policy-per-packet-load-balancing-overview.html.Google ScholarGoogle Scholar
  22. C. Perkins. IP Encapsulation within IP, Oct 1996. RFC2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. C. Raiciu, S. Barre, C. Pluntke, A. Greenhalgh, D. Wischik, and M. Handley. Improving Datacenter Performance and Robustness with Multipath TCP. In SIGCOMM, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. S. Sen, D. Shue, S. Ihm, and M. J. Freedman. Scalable, Optimal Flow Routing in Datacenters via Local Link Balancing. In CoNEXT, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. D. Thaler and C. Hopps. Multipath Issues in Unicast and Multicast Next-Hop Selection, Nov 2000. RFC 2991. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. C. Wilson, H. Ballani, T. Karagiannis, and A. Rowstron. Better Never than Late: Meeting Deadlines in Datacenter Networks. In SIGCOMM, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. X. Wu, D. Turner, C. Chen, D. Maltz, X. Yang, L. Yuan, and M. Zhang. NetPilot: Automating Datacenter Network Failure Mitigation. In SIGCOMM, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. D. Zats, T. Das, P. Mohan, D Borthakur, and R. Katz. DeTail: Reducing the Flow Completion Time Tail in Datacenter Networks. In SIGCOMM, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Per-packet load-balanced, low-latency routing for clos-based data center networks

    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
      CoNEXT '13: Proceedings of the ninth ACM conference on Emerging networking experiments and technologies
      December 2013
      454 pages
      ISBN:9781450321013
      DOI:10.1145/2535372

      Copyright © 2013 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: 9 December 2013

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      CoNEXT '13 Paper Acceptance Rate44of226submissions,19%Overall Acceptance Rate198of789submissions,25%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader