research-article

Modeling of Priority-based Request Scheduling Mechanism for Finite Buffer SIP Servers

Authors:

Demir Y. Yavas,

Ibrahim Hokelek,

Bilge GunselAuthors Info & Claims

QTNA '16: Proceedings of the 11th International Conference on Queueing Theory and Network Applications

Article No.: 6, Pages 1 - 8

https://doi.org/10.1145/3016032.3016055

Published: 13 December 2016 Publication History

Abstract

In this paper, we present a fluid-flow model to characterize the behavior of the overloaded Session Initiation Protocol (SIP) server with a finite buffer. Our model includes a priority-based request scheduling mechanism (PRSM) which diminishes redundant retransmissions to overcome the overloading of SIP servers. The numerical results closely match with the simulation results, indicating that the proposed models can accurately capture the dynamic behavior of a SIP server with the PRSM. Using the Markov Modulated Poisson Process (MMPP) traffic model, the failure ratio of the PRSM is reduced to zero when the buffer size is higher than 1K while it linearly increases for the conventional SIP. The mean response delay of the PRSM is kept constant around 175 ms while it reaches as high as 179 seconds for the conventional SIP when the buffer size is around 200K.

References

[1]

Hilt, V., Noel, E., Shen, C., and Abdelal, A. 2011. Design Considerations for Session Initiation Protocol (SIP) Overload Control, IETF RFC 6357, (August 2011).

[2]

Rosenberg, J. 2008. Requirements for Management of Overload in the Session Initiation Protocol, IETF RFC 5390, (December 2008).

[3]

Hong, Y., Huang, C., and Yan, J. 2012. A Comparative Study of SIP Overload Control Algorithms, Network and Traffic Eng. in Emerging Distributed Computing Applications, IGI Global, 1--20.

[4]

Shen, C., Schulzrinne, H., and Koike; A. 2014. A Session Initiation Protocol (SIP) Load-Control Event Package, IETF RFC 7200, (April 2014).

[5]

Gurbani, V., Hilt, V., and Schulzrinne, H. 2014. Session Initiation Protocol (SIP) Overload Control, IETF RFC 7339, (September 2014).

[6]

Noel, E., and Williams; P. 2015. Session Initiation Protocol (SIP) Rate Control, IETF RFC 7415, (February 2015).

[7]

Yavas, D.Y., Hokelek, I., and Gunsel, B. 2014. Strict Prioritization of New Requests over Retransmissions for Enhancing Scalability of SIP Servers, IEICE Trans. on Comm., Vol. E97-B, No.12, (Dec. 2014).

[8]

Yavas, D.Y., Hokelek, I., and Gunsel, B. 2015. Controlling SIP Server Overload with Priority Based Request Scheduling, ICNC-2015.

[9]

Sisalem, D., Liisberg, M., and Rebahi, Y. 2008. A Theoretical Model of the Effects of Losses and Delays on the Performance of SIP, Globecom, New Orleans, (2008).

[10]

Hong, Y., Huang, C., and Yan, J. 2012. Impact of Retransmission Mechanism on SIP Overload: Stability Condition and Overload Control. JNW 7(1): 52--62, 2012.

[11]

Hong, Y., Huang, C., and Yan, J. 2012. Modeling and Design of a Session Initiation Protocol Overload Control Algorithm, SIMULATION, Vol.88, No.11, pp. 1294--1315, (November 2012).

Digital Library

[12]

Samouylov, K.E., Abaev, P.O., Gaidamaka, Y.V., Pechinkin, A.V., and Razumchik, R.V. 2014. Analytical Modelling And Simulation For Performance Evaluation Of SIP Server With Hysteretic Overload Control, 28th Conference on Modelling and Simulation (May 2014)

[13]

Akbar, A., Basha, S.M., and Sattar, S.A. 2015. A Cooperative Overload Control Method for SIP Servers, IEEE ICCSP 2015.

[14]

Jahanbakhsh, M., Azhari, S.V., Enayati-Zadeh, J., and Baghdadi, M. 2016.Local and distributed SIP overload control solution improving sustainability of SIP networks, Int. J. Commun. Syst. (2016).

[15]

Mishra, G., Dharmaraja, S., and Kar, S. 2016. Reducing session establishment delay using timed out packets in SIP signaling network, Int. J. Commun. Syst. (2016); 29:262--276.

Digital Library

[16]

De Cicco, L., Cofano, G., and Mascolo, S. 2015. Local SIP Overload Control: Controller Design and Optimization by Extremum Seeking, in IEEE Transactions on Control of Network Systems, vol. 2, no. 3, pp. 267--277, (Sept. 2015).

[17]

Sun, J., Yu, H., and Zheng, W. 2008. Flow management with service differentiation for SIP application servers, in: CHINAGRID '08: Proceedings of the Third China Grid Annual Conference, IEEE Computer Society, Washington, DC, USA, (2008), pp. 272--277.

Digital Library

[18]

Zhiguo, G., Zhe, X., Wei, X., Zhiyong, L., and Bo, Y. 2009. SIP Offload Engine for Accelerating J2EE Based SIP Application Server, International Conference on Communication Software and Networks, ICCSN, (2009).

Digital Library

[19]

Cortes, M., Ensor, J.R., and Esteban, J.O. 2004. On SIP Performance. Bell Labs Technical Journal, 9(3), (2004), pp. 155--172.

[20]

Wanke, S., Scharf, M., Kiesel, S., and Wahl, S. 2007. Measurement of the SIP parsing performance in the SIP Express Router, In EUNICE (2007), pp. 103--110.

Digital Library

Cited By

Montazerolghaem AMoghaddam M(2018)Design, implementation and performance evaluation of a proactive overload control mechanism for networks of SIP serversTelecommunications Systems10.1007/s11235-017-0337-967:2(309-322)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s11235-017-0337-9
Yavas DHokelek IGunsel B(2017)Modeling of SIP retransmission traffic under lossy network conditions2017 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)10.1109/BlackSeaCom.2017.8277683(1-5)Online publication date: Jun-2017
https://doi.org/10.1109/BlackSeaCom.2017.8277683
Yavas DHokelek IGunsel B(2017)On fluid‐flow modeling of priority based request scheduling for finite buffer SIP serverInternational Journal of Communication Systems10.1002/dac.335730:17Online publication date: 31-Jul-2017
https://doi.org/10.1002/dac.3357

Recommendations

An Analysis Tool to Evaluate Effect of Retransmissions on SIP Server Overloading
NGMAST '13: Proceedings of the 2013 Seventh International Conference on Next Generation Mobile Apps, Services and Technologies

As the number of mobile application traffic keeps increasing, the operators face the scalability challenges of VoIP protocols. We introduce an analysis tool to evaluate the effect of SIP retransmission mechanism on the SIP server overloading. Our tool ...
An N Server Cutoff Priority Queue Where Arriving Customers Request a Random Number of Servers

We consider a multi-priority, N-server, Poisson arrival, nonpreemptive queue, motivated by police applications. The number of servers requested by an arrival has a known priority dependent probability distribution. All servers requested by a customer ...
Modeling and simulation of SIP tandem server with finite buffer

Recent collapses of SIP servers (e.g., Skype outage) indicate that the built-in SIP overload control mechanism cannot mitigate overload effectively. We introduce our analytical approach by investigating an overloaded tandem server scenario. Our ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

QTNA '16: Proceedings of the 11th International Conference on Queueing Theory and Network Applications

December 2016

159 pages

ISBN:9781450348423

DOI:10.1145/3016032

Copyright © 2016 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]

In-Cooperation

SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
Victoria University of Wellington

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 December 2016

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

QTNA '16

QTNA '16: 11th International Conference on Queueing Theory and Network Applications

December 13 - 15, 2016

Wellington, New Zealand

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
53
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 12 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Montazerolghaem AMoghaddam M(2018)Design, implementation and performance evaluation of a proactive overload control mechanism for networks of SIP serversTelecommunications Systems10.1007/s11235-017-0337-967:2(309-322)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s11235-017-0337-9
Yavas DHokelek IGunsel B(2017)Modeling of SIP retransmission traffic under lossy network conditions2017 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)10.1109/BlackSeaCom.2017.8277683(1-5)Online publication date: Jun-2017
https://doi.org/10.1109/BlackSeaCom.2017.8277683
Yavas DHokelek IGunsel B(2017)On fluid‐flow modeling of priority based request scheduling for finite buffer SIP serverInternational Journal of Communication Systems10.1002/dac.335730:17Online publication date: 31-Jul-2017
https://doi.org/10.1002/dac.3357

View Options

Login options

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

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents