Analytical Model of Priority Based Request Scheduling Mechanism Preventing SIP Server Overload

Demir Y. Yavas, Ibrahim Hokelek, Bilge Gunsel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

As the amount of mobile traffic carried over IP keeps increasing, the military networks face the scalability challenges of VoIP protocols. When the message arrival rate including retransmissions exceeds the message serving capacity of a Session Initiation Protocol (SIP) server, the queue size increases and eventually the SIP server can be crashed. In our previous studies, we proposed a priority based request scheduling mechanism (PRSM) to guarantee the survivability of SIP server under heavily loaded traffic conditions. In this paper, we introduce a fluid-flow analytical model to study the behavior of the overloaded SIP server with PRSM under various test scenarios. The experiments performed using both analysis and simulation tools indicate that the proposed model can accurately capture the dynamic behavior of a SIP server with the PRSM. The numerical results verify the effectiveness of the PRSM which provides consistently better scalability compared to the conventional SIP thus enable us to prevent server overload.

Original languageEnglish
Title of host publicationMILCOM 2016 - 2016 IEEE Military Communications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1041-1046
Number of pages6
ISBN (Electronic)9781509037810
DOIs
Publication statusPublished - 22 Dec 2016
Event35th IEEE Military Communications Conference, MILCOM 2016 - Baltimore, United States
Duration: 1 Nov 20163 Nov 2016

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM

Conference

Conference35th IEEE Military Communications Conference, MILCOM 2016
Country/TerritoryUnited States
CityBaltimore
Period1/11/163/11/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Fluid-Flow
  • SIP server-overloading
  • VoIP
  • priority queuing
  • scalability

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