Regression-Based Analytics for Response Dynamics of SDN Solutions and Components

Nageswara S.V. Rao; Qiang Liu; Satyabrata Sen; Rajkumar Kettimuthu; Joshua Boley; Bradley W. Settlemyer; Hsing Bung Chen; Dimitrios Katramatos

doi:10.1109/NETSOFT.2018.8458500

Regression-Based Analytics for Response Dynamics of SDN Solutions and Components

Nageswara S.V. Rao, Qiang Liu, Satyabrata Sen, Rajkumar Kettimuthu, Joshua Boley, Bradley W. Settlemyer, Hsing Bung Chen, Dimitrios Katramatos

Autonomous and Complex Systems

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

Abstract

We consider Software-Defined Network (SDN) solutions that dynamically setup and teardown connections, and also their response dynamics of connectivity and TCP throughput. There is a wide variety of choices for controllers, switches, and software modules, and objective analytics of measurements are needed to compare the response dynamics of solutions based on their combinations. Throughput and ping measurements during connection changes contain significant statistical variations due to the complexities of controllers, northbound scripts, and network devices. We propose analytical methods to estimate response regression functions, which provide a rigorous and objective comparison of different SDN solutions and their components, namely, controllers, switches, and OpenFlow versions. We apply this approach in two scenarios: (a) switching of long-haul connections emulated in hardware by ANUE devices over a testbed consisting of HP and Cisco switches, and (b) multi-site science infrastructure emulated using VMs and Mininet. The results provide useful practical insights including: (i) the dpctl method responds seconds faster than the OpenDayLight (ODL) method on average under OpenFlow 1.0, but performs similar to ODL under OpenFlow 1.3, and (ii) the ping response of dpctl is about 0.6 sec faster than ODL for the second scenario.

Original language	English
Title of host publication	2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	350-355
Number of pages	6
ISBN (Print)	9781538646335
DOIs	https://doi.org/10.1109/NETSOFT.2018.8458500
State	Published - Sep 10 2018
Event	4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018 - Montreal, Canada Duration: Jun 25 2018 → Jun 29 2018

Publication series

Name	2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018

Conference

Conference	4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018
Country/Territory	Canada
City	Montreal
Period	06/25/18 → 06/29/18

Funding

This work is funded by the High-Performance Networking Program and the Applied Mathematics Program, Office of Advanced Computing Research, U.S. Department of Energy, and by Extreme Scale Systems Center, sponsored by U. S. Department of Defense, and performed at Oak Ridge National Laboratory managed by UT-Battelle, LLC for U.S. Department of Energy under Contract No. DE-AC05-000R22725.

Keywords

Controller
Long-haul connection
Open-Daylight
OpenFlow
Software-defined networks
Switching response
Testbed

Access to Document

10.1109/NETSOFT.2018.8458500

Cite this

Rao, N. S. V., Liu, Q., Sen, S., Kettimuthu, R., Boley, J., Settlemyer, B. W., Chen, H. B., & Katramatos, D. (2018). Regression-Based Analytics for Response Dynamics of SDN Solutions and Components. In 2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018 (pp. 350-355). Article 8458500 (2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NETSOFT.2018.8458500

Rao, Nageswara S.V. ; Liu, Qiang ; Sen, Satyabrata et al. / Regression-Based Analytics for Response Dynamics of SDN Solutions and Components. 2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 350-355 (2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018).

@inproceedings{1f8b4f1342934303b33707ff32260d4c,

title = "Regression-Based Analytics for Response Dynamics of SDN Solutions and Components",

abstract = "We consider Software-Defined Network (SDN) solutions that dynamically setup and teardown connections, and also their response dynamics of connectivity and TCP throughput. There is a wide variety of choices for controllers, switches, and software modules, and objective analytics of measurements are needed to compare the response dynamics of solutions based on their combinations. Throughput and ping measurements during connection changes contain significant statistical variations due to the complexities of controllers, northbound scripts, and network devices. We propose analytical methods to estimate response regression functions, which provide a rigorous and objective comparison of different SDN solutions and their components, namely, controllers, switches, and OpenFlow versions. We apply this approach in two scenarios: (a) switching of long-haul connections emulated in hardware by ANUE devices over a testbed consisting of HP and Cisco switches, and (b) multi-site science infrastructure emulated using VMs and Mininet. The results provide useful practical insights including: (i) the dpctl method responds seconds faster than the OpenDayLight (ODL) method on average under OpenFlow 1.0, but performs similar to ODL under OpenFlow 1.3, and (ii) the ping response of dpctl is about 0.6 sec faster than ODL for the second scenario.",

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author = "Rao, {Nageswara S.V.} and Qiang Liu and Satyabrata Sen and Rajkumar Kettimuthu and Joshua Boley and Settlemyer, {Bradley W.} and Chen, {Hsing Bung} and Dimitrios Katramatos",

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Rao, NSV, Liu, Q, Sen, S, Kettimuthu, R, Boley, J, Settlemyer, BW, Chen, HB & Katramatos, D 2018, Regression-Based Analytics for Response Dynamics of SDN Solutions and Components. in 2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018., 8458500, 2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018, Institute of Electrical and Electronics Engineers Inc., pp. 350-355, 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018, Montreal, Canada, 06/25/18. https://doi.org/10.1109/NETSOFT.2018.8458500

Regression-Based Analytics for Response Dynamics of SDN Solutions and Components. / Rao, Nageswara S.V.; Liu, Qiang; Sen, Satyabrata et al.
2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 350-355 8458500 (2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018).

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

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AU - Boley, Joshua

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Rao NSV, Liu Q, Sen S, Kettimuthu R, Boley J, Settlemyer BW et al. Regression-Based Analytics for Response Dynamics of SDN Solutions and Components. In 2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 350-355. 8458500. (2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018). doi: 10.1109/NETSOFT.2018.8458500

Regression-Based Analytics for Response Dynamics of SDN Solutions and Components

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