Summary
Component-based distributed real-time and embedded (DRE) systems must be properly deployed and configured to realize an operational system that meets its functional and quality-of-service (QoS) needs. Different deployments and configurations often impact systemic QoS concerns, such as end-to-end response time. Traditional techniques for understanding systemic QoS rely on complex analytical and simulation models, however, such techniques provide performance assurance at design-time only. Moveover, they do not take into account the complete operating environment, which greatly influences systemic performance.
This paper presents a simple technique for searching for deployments that improve performance along a single dimension of QoS concern, such as response time. Our technique uses baseline profiles and experimental observations to recommend new deployments. The results indicate that we are able to use baseline profiles to converge towards solutions that improve systemic performance.
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Hill, J.H., Gokhale, A. (2008). Towards Improving End-to-End Performance of Distributed Real-Time and Embedded Systems Using Baseline Profiles. In: Lee, R. (eds) Software Engineering Research, Management and Applications. Studies in Computational Intelligence, vol 150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70561-1_4
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DOI: https://doi.org/10.1007/978-3-540-70561-1_4
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