What is it about?
This paper discusses the challenges of SIP server overload and proposes an advanced mechanism to address this issue. SIP overload occurs when a SIP server does not have enough resources to process messages, which can lead to degraded performance. The proposed mechanism is a distributed adaptive window-based overload control algorithm that uses the number of confirmation messages as a measure of downstream server load. This mechanism improves upon existing methods and can help maintain the efficiency of SIP servers.
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Why is it important?
This paper proposes a unique and advanced mechanism for proactive overload control in SIP servers, which improves upon existing methods. The proposed mechanism is timely and relevant as SIP overload is a common issue that can lead to degraded performance and affect the efficiency of SIP servers. The proposed mechanism can help maintain the efficiency of SIP servers and improve the overall performance of SIP networks. This work can be of interest to researchers, practitioners, and professionals working in the field of SIP networks and can help increase readership.
Perspectives
As an expert in the field of computer and communication networks, I find this publication particularly insightful and valuable. The proposed mechanism for proactive overload control in SIP servers addresses a critical issue in SIP networks and offers a practical solution to improve the performance and efficiency of these servers. The use of a distributed adaptive window-based overload control algorithm is a novel approach that has the potential to make a significant impact in the field of SIP network management. I believe that this work has the potential to influence future research and development in the area of SIP server optimization and network performance enhancement.
AhmadReza Montazerolghaem
University of Isfahan
Read the Original
This page is a summary of: Design, implementation and performance evaluation of a proactive overload control mechanism for networks of SIP servers, Telecommunication Systems, May 2017, Springer Science + Business Media,
DOI: 10.1007/s11235-017-0337-9.
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