Debugging in real time is imperative for telecommunication networks with their ever increasing size and complexity. In event of an error or an unexpected occurrence of event, debugging the complex systems that controls these networks becomes an insurmountable task. With the help of tracing, it is possible to capture the snapshot of a system at any given point of time. Tracing, in essence, captures the state of the system along with the programs currently running on the system. LTTng is one such tool developed to perform tracing in both kernel space and user space of an application. In this thesis, we evaluate the effectiveness of LTTng and its impact on the performance on the applications traced by it. As part of this thesis we have formulated a comprehensive load matrix to simulate varying load demands in a telecommunication network. We have also devised a detailed experimental methodology which encompasses a collection of test suites used to determine the efficiency of various LTTng trace primitives. We were also able to prove that, in our experiments, LTTng’s kernel tracing is more efficient than User Space Tracing and LTTng’s User Space Tracing has a performance impact of around three to five percent.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mdh-9840 |
| Date | January 2010 |
| Creators | Sivakumar, Narendran, Sundar Rajan, Sriram |
| Publisher | Mälardalens högskola, Akademin för innovation, design och teknik, Mälardalens högskola, Akademin för innovation, design och teknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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