Name
Title | ||
|---|---|---|
A Case Study-based Performance Evaluation Framework for CSCF Processes on a Blade-Server |
Abstract | ||
|---|---|---|
The study of protocol behavior and traffic characteristics in a simulated environment is commonly supported by ad-hoc or general purpose simulators (e.g., Opnet, NS-2). But as the complexity of the network to be simulated grows, eventdriven simulation could become the bottleneck of any performance analysis. Here, we propose an analytical technique for a real system performance evaluation of the Proxy(P)-CSCF and Serving(S)- CSCF components of an IMS network on a dual processor blade server. Based on this approach, we derive a specific model which can be applied to different network scenarios for performance evaluation and system engineering purposes. In particular, we study the optimal allocation of the traffic load in a bladeserver generated by the CSCF processes to predict the maximum system capacity. The results indicate that our methodology (a) is effective in maximizing the blade utilization (b) points toward the benefits of hyper-threading and identifies the appropriate scheduling discipline at the local linux schedulers and (c) provides a quantification of the optimal number of blades required to serve a predefined P/S-CSCF process arrival rate. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICNS.2007.2 | ICNS |
Keywords | Field | DocType |
performance analysis,cscf processes,cscf component,different network scenario,ims network,system engineering purpose,real system performance evaluation,case study-based performance evaluation,maximum system capacity,performance evaluation,blade utilization,dual processor blade server,system analysis,system engineering,system performance,blade server,ip multimedia subsystem,discrete event simulation,performance management,protocols | Network on,Bottleneck,Network complexity,General purpose,Computer science,Scheduling (computing),Computer network,Real-time computing,Analytical technique,Blade server,Discrete event simulation,Distributed computing | Conference |
ISBN | Citations | PageRank |
0-7695-2858-9 | 3 | 0.56 |
References | Authors | |
5 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Preetam Ghosh | 1 | 349 | 43.69 |
| Nirmalya Roy | 2 | 405 | 42.11 |
| Kalyan Basu | 3 | 662 | 68.91 |
| Sajal K. Das | 4 | 8086 | 745.54 |
| Paul Wilson | 5 | 3 | 0.56 |
| Prabir Das | 6 | 16 | 5.20 |