Skip to main content

Rate Adjustment Mechanism for Controlling Incast Congestion in Data Center Networks

  • Conference paper
  • First Online:
Information Technology - New Generations

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 558))

  • 3208 Accesses

Abstract

Data Center Transmission Control Protocol (DCTCP) gained more popularity in academic as well as industry areas due to its performance in terms of high throughput and low latency and is widely deployed at data centers nowadays. According to recent research about the performance of DCTCP, the authors found that most of the times the sender’s congestion window reduces to one segment which results in timeouts. To address this problem, we modified the calculation of sender’s congestion window size for improving the throughput of TCP in data center networks. The results of a series of simulations in a typical data center network topology using Qualnet, the most widely used network simulator demonstrates that the proposed solution can significantly reduce the timeouts and noticeably improves the throughput by more than 10% compare to DCTCP under various network conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zhang, Y., & Ansari, N. (First Quarter 2013). On architecture design, congestion notification, TCP incast and power consumption in data centers. IEEE Communications Surveys and Tutorials, 15(1), 39–64.

    Google Scholar 

  2. Cisco Data Center Infrastructure 2.5 Design Guide. http://www.cisco.com/c/en/us/td/docs/solutions/Enterprise/Data_Center/DC_Infra2_5/DCI_SRND_2_5a_book.pdf.

  3. http://www.cisco.com/c/en/us/td/docs/solutions/Enterprise/Data_Center/DC_Infra2_5/DCInfra_1.html.

  4. Chen, Y., Griffith, R., Liu, J., Katz, R. H., & Joseph, A. D. (2009). Understanding TCP incast throughput collapse in datacenter networks. In Proceedings of the 1st ACM workshop on Research on enterprise networking (WREN '09) (pp. 73–82). New York: ACM.

    Chapter  Google Scholar 

  5. Kant, K. (2009). Data center evolution: A tutorial on state of the art, issues, and challenges. Computer Networks, 53(17), 2939–2965. ISSN 1389-1286.

    Article  Google Scholar 

  6. Alizadeh, M., Greenberg, A., Maltz, D., Padhye, J., Patel, P., Prabhakar, B., Sengupta, S., Sridharan, M. (2010). Data center TCP (DCTCP). In Proceedings of the SIGCOMM, New Delhi, (pp. 63–74).

    Google Scholar 

  7. Hwang, J., & Yoo, J. (2014). FaST: Fine-grained and scalable TCP for cloud data center networks. KSII Transactions on Internet and Information Systems, 8(3), 762–777. doi:10.3837/tiis.2014.03.003.

    Article  Google Scholar 

  8. Wu, H., Feng, Z., Guo, C., Zhang, Y. (2010). ICTCP: Incast Congestion Control for TCP in data center networks. In Proceedings of ACM CoNEXT, Philadelphia.

    Google Scholar 

  9. Hwang, J., Yoo, J., Choi, N. (2012). IA-TCP: A rate based incast-avoidance algorithm for TCP in data center networks. In Proceedings of the IEEE ICC, Ottawa.

    Google Scholar 

  10. Zhang, J.,Wen, J.,Wang, J., Zhao, W. (2013). TCP-FITDC: An adaptive approach to TCP incast avoidance for data center applications. International Conference on Computing, Networking and Communications (ICNC), San Diego, (pp. 1048–1052).

    Google Scholar 

  11. Zhang, J., Ren, F., Yue, X., Shu, R., & Lin, C. (2014). Sharing bandwidth by allocating switch buffer in data center networks. IEEE Journal on Selected Areas in Communications, 32(1), 39–51.

    Article  Google Scholar 

  12. Wu, W., & Crawford, M. (2007). Potential performance bottleneck in Linux TCP. International Journal of Communication Systems, 20, 1263–1283. doi:10.1002/dac.872.

    Article  Google Scholar 

  13. https://eggert.org/students/kato-thesis.pdf.

  14. http://web.scalable-networks.com/content/qualnet.

  15. http://dev.pyra-handheld.com/index.php.

  16. Sreekumari, P., Jung, J., Lee, M. (2015). An early congestion feedback and rate adjustment schemes for many-to-one communication in cloud-based data center networks. Photonic Network Communications, 31(1), 23–35.

    Google Scholar 

  17. Jiang, C., Li, D., & Xu, M. (2014). LTTP: An LT-code based transport protocol for many-to-one communication in data centers. IEEE Journal on Selected Areas in Communications, 32(1), 52–64.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Prasanthi Sreekumari .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Sreekumari, P. (2018). Rate Adjustment Mechanism for Controlling Incast Congestion in Data Center Networks. In: Latifi, S. (eds) Information Technology - New Generations. Advances in Intelligent Systems and Computing, vol 558. Springer, Cham. https://doi.org/10.1007/978-3-319-54978-1_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-54978-1_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54977-4

  • Online ISBN: 978-3-319-54978-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics