Profiling transport performance for big data transfer over dedicated channels

Daqing Yun; Chase Wu; Nageswara S.V. Rao; Bradley W. Settlemyer; Josh Lothian; Rajkumar Kettimuthu; Venkatram Vishwanath

doi:10.1109/ICCNC.2015.7069458

Profiling transport performance for big data transfer over dedicated channels

Daqing Yun, Chase Wu, Nageswara S.V. Rao, Bradley W. Settlemyer, Josh Lothian, Rajkumar Kettimuthu, Venkatram Vishwanath

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Scopus citations

Abstract

The transfer of big data is increasingly supported by dedicated channels in high-performance networks. Transport protocols play a critical role in maximizing the link utilization of such high-speed connections. We propose a Transport Profile Generator (TPG) to characterize and enhance the end-to-end throughput performance of transport protocols. TPG automates the tuning of various transport-related parameters including socket options and protocol-specific configurations, and supports multiple data streams and multiple NIC-to-NIC connections. To instantiate the design of TPG, we use UDT as an example in the implementation and conduct extensive experiments of big data transfer over high-speed network channels to illustrate how existing transport protocols benefit from TPG in optimizing their performance.

Original language	English (US)
Title of host publication	2015 International Conference on Computing, Networking and Communications, ICNC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	858-862
Number of pages	5
ISBN (Electronic)	9781479969593
DOIs	https://doi.org/10.1109/ICCNC.2015.7069458
State	Published - Jan 1 2015
Externally published	Yes
Event	2015 International Conference on Computing, Networking and Communications, ICNC 2015 - Garden Grove, United States Duration: Feb 16 2015 → Feb 19 2015

Other

Other	2015 International Conference on Computing, Networking and Communications, ICNC 2015
Country/Territory	United States
City	Garden Grove
Period	2/16/15 → 2/19/15

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

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10.1109/ICCNC.2015.7069458

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Yun, D., Wu, C., Rao, N. S. V., Settlemyer, B. W., Lothian, J., Kettimuthu, R., & Vishwanath, V. (2015). Profiling transport performance for big data transfer over dedicated channels. In 2015 International Conference on Computing, Networking and Communications, ICNC 2015 (pp. 858-862). [7069458] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCNC.2015.7069458

Yun, Daqing ; Wu, Chase ; Rao, Nageswara S.V. ; Settlemyer, Bradley W. ; Lothian, Josh ; Kettimuthu, Rajkumar ; Vishwanath, Venkatram. / Profiling transport performance for big data transfer over dedicated channels. 2015 International Conference on Computing, Networking and Communications, ICNC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 858-862

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Yun, D, Wu, C, Rao, NSV, Settlemyer, BW, Lothian, J, Kettimuthu, R & Vishwanath, V 2015, Profiling transport performance for big data transfer over dedicated channels. in 2015 International Conference on Computing, Networking and Communications, ICNC 2015., 7069458, Institute of Electrical and Electronics Engineers Inc., pp. 858-862, 2015 International Conference on Computing, Networking and Communications, ICNC 2015, Garden Grove, United States, 2/16/15. https://doi.org/10.1109/ICCNC.2015.7069458

Profiling transport performance for big data transfer over dedicated channels. / Yun, Daqing; Wu, Chase; Rao, Nageswara S.V.; Settlemyer, Bradley W.; Lothian, Josh; Kettimuthu, Rajkumar; Vishwanath, Venkatram.

2015 International Conference on Computing, Networking and Communications, ICNC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 858-862 7069458.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - The transfer of big data is increasingly supported by dedicated channels in high-performance networks. Transport protocols play a critical role in maximizing the link utilization of such high-speed connections. We propose a Transport Profile Generator (TPG) to characterize and enhance the end-to-end throughput performance of transport protocols. TPG automates the tuning of various transport-related parameters including socket options and protocol-specific configurations, and supports multiple data streams and multiple NIC-to-NIC connections. To instantiate the design of TPG, we use UDT as an example in the implementation and conduct extensive experiments of big data transfer over high-speed network channels to illustrate how existing transport protocols benefit from TPG in optimizing their performance.

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Profiling transport performance for big data transfer over dedicated channels

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