<p><em>Software Instrumentation is the process of collecting data during an application’s runtime,</em></p>
<p><em>which will help us debug, detect errors and optimize the performance of the binary. The</em></p>
<p><em>recent increase in demand for low latency and high throughput systems has introduced new</em></p>
<p><em>challenges to the process of Software Instrumentation. Software Instrumentation, especially</em></p>
<p><em>dynamic, has a huge impact on systems performance in scenarios where there is no early</em></p>
<p><em>knowledge of data to be collected. Naive approaches collect too much or too little</em></p>
<p><em>data, negatively impacting the system’s performance.</em></p>
<p><em>This thesis investigates the overhead added by reservoir sampling algorithms at different</em></p>
<p><em>levels of granularity in real-time instrumentation of distributed software systems. Also, this thesis describes the implementation of sampling techniques and algorithms to reduce the overhead caused by instrumentation.</em></p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/23644989 |
| Date | 30 August 2023 |
| Creators | Sai Pavan Kumar Meruga (16496823) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/ENABLING_REAL_TIME_INSTRUMENTATION_USING_RESERVOIR_SAMPLING_AND_BIN_PACKING/23644989 |
Page generated in 0.0018 seconds