Titlebook: Measuring SIP Proxy Server Performance; Sureshkumar V. Subramanian,Rudra Dutta Book 2013 Springer International Publishing Switzerland 201

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Summary and Future Work,cture based network. Since it is not realistically possible to simulate or emulate the real world SIP network and study the performance characteristics of the SIP proxy server, significant effort was devoted in exploring new creative ways of designing the lab network and hardware setup. We conducted

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Performance Measurements of , and , Based SPS,o accurately study the performance characteristics. We were motivated, excited and equally challenged to work in this area of research. We carefully evaluated our lab resources at CISCO “LASER” lab and leveraged that in our research to perform experiments with the actual proxy servers and collected our data.

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,Measurements and Analysis of , ∕ , ∕ , Based SPS Model,t with CISCO SPS software, which is designed, developed and implemented with latest software and hardware technologies for conducting our new set of experiments in the LAN environment. This chapter details the second part of our research in providing some reasonable solutions to the problems identified with our previous study discussed in Chap.4

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Performance of the SPS in LAN and WAN Environment, network architecture. The result of that investigation motivated us to further explore the SPS performance in LAN and WAN environment. The chapter provides details about our empirical study on CHT, results, empirical and predicted results on . ∕ . ∕ . based SPS model discussed in Chap. 6

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Book 2013SIP) is quickly becoming a popular signaling protocol for VoIP-based applications. SIP is a peer-to-peer multimedia signaling protocol standardized by the Internet Engineering Task Force (IETF), and it plays a vital role in providing IP telephony services through its use of the SIP Proxy Server (SPS

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Related Work,obustness. In Chung et al. (1999), the team calculated the mean end-to-end delay of Common Channel Signaling Networks [CCSN] and used call arrival rate and failure rates. Total response time, network transmission time, and SCP processing are the key performance parameters considered by the work done in Atoui (1991).

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Sureshkumar V. Subramanian,Rudra Duttaning of the image units as they relate to bone mineral content and density. The section then describes the use of QCT of the hip and spine to assess cortical and trabecular bone mineral density, the physical errors associated with those assessments, and the application of QCT to assess measures of b