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Validating Dynamic Enterprise Distributed Real-time and Embedded System Quality-of-Service Properties using System Execution Traces
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hill, James H. Varshneya, Pooja Turner, Hamilton A. Edmondson, James R. Schmidt, Douglas C. |
| Copyright Year | 2010 |
| Abstract | System execution traces can be used to validate enterprise distributed realtime and embedded (DRE) systems quality-of-service (QoS) properties (such as response-time, latency, and scalability) based on system structure/composition. As enterprise DRE systems increase in size (i.e., number of hardware/software components) and complexity (i.e., envisioned operational scenarios) it becomes harder to validate QoS properties because traditional techniques do not adapt to the dynamic nature of the system. This article therefore describes a methodology and tool called Understanding Non-functional Intentions via Testing and Experimentation (UNITE) that uses relational database techniques and dataflow models to validate enterprise DRE system’s QoS properties independent of the system’s structure/composition. Our empirical results show that UNITE is a lightweight and scalable method whose evaluation time depends primarily on the amount of data being analyzed, as opposed to the size, composition, and complexity of the enterprise DRE system itself. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cs.wustl.edu/~schmidt/PDF/jss-dates.pdf |
| Alternate Webpage(s) | http://www.dre.vanderbilt.edu/~schmidt/PDF/jss-dates.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
