Evaluation of Two SCTP

This thesis aims to compare the performance of Stream Control Transmission Protocol (SCTP) in the two different operating systems, OSE and Linux. The CPU load of the performances was measured. SCTP traffic was sent between two regional processors in the OSE environment. The same traffic scenarios were tested between another two regional processors in the Linux environment. The same algorithm was designed to calculate the CPU load of SCTP in OSE and Linux. The measurement results were then compared and analyzed. The final conclusion is that the SCTP performance in OSE is better than that in Linux with small bit rates while worse than that in Linux with big bit rates. Utvärdering av två SCTP-implementationer i OSE och Linux Sammanfattning Uppgiften i detta exjobb är att jämföra CPU-belastning av SCTP(Stream Control transmission Protocol) i två operativsystem, OSE och Linux. SCTP trafik skickas mellan två regionala processorer i OSE. Samma trafikscenario testas också mellan två processorer i Linux. En algoritm designas så att CPU-belastning av SCTP i OSE och Linux kan beräknas. Mätningsresultat jämförs sedan och analyseras. Slutresultatet är att SCTP i OSE har mindre CPU-belastning än i Linux med lägre bitrate och större CPU-belastning än i Linux med högre bitrate. Acknowledgement This is a master thesis in Computer Science in Nada, Royal Institute of Technology (Kungliga Tekniska Högskolan). The supervisor in Nada is Olof Hagsand and the examinator is Professor Stefan Arnborg. This thesis work is implemented at Ericsson AB in Älvsjö and the supervisor in Ericsson AB is Anders Magnusson and Stefan Mattson. I would like to express my gratitude to Anders Magnusson for his excellent guidance. His advice has been of vital importance during my work. I also wish to thank my partner Qi Zhang in IMIT, KTH for his companionship and uncountable fruitful discussions and all the colleagues at the UZ/DK in Ericsson AB for their companionship, with special thanks to Stefan Mattson, Richard Tham and Per Holmgren for their kind help during this work. Last but not least, I wish to thank my family – My husband, Min Qiu and my two kids, Katarina and Henrik, for their loves and supports.