AG Technische Informatik

Evaluating the adaptivity of computing systems

Philipp Reinecke, Katinka Wolter, Aad van Moorsel— 2010

Although adaptivity, the ability to adapt, is an important property of complex computing systems, so far little thought has been given to its evaluation. In this paper we propose a framework and methodology for the definition of benefit-based adaptivity metrics. The metrics thus defined allow an informed choice between systems based on their adaptivity to be made. We demonstrate application of the framework in a case study of restart strategies for Web Services Reliable Messaging. Additionally, we provide a broad survey of related approaches that may be used in the study of adaptivity (comprising, among others, robustness, performability, and control analysis), and evaluate their respective merits in relation to the proposed adaptivity metric.

TitelEvaluating the adaptivity of computing systems
VerfasserPhilipp Reinecke, Katinka Wolter, Aad van Moorsel
VerlagPerformance Evaluation, Vol. 67, No. 8, pp. 676-693, August 2010.
ThemaAdaptivity
Datum201008
Quelle/n
ArtText
BibTeX Code@article{Reinecke2010, author = {Philipp Reinecke and Katinka Wolter and Aad van Moorsel}, title = {Evaluating the adaptivity of computing systems}, journal = {Performance Evaluation}, year = {2010}, volume = {67}, pages = {676-693}, number = {8}, month = {August}, abstract = {Although adaptivity, the ability to adapt, is an important property of complex computing systems, so far little thought has been given to its evaluation. In this paper we propose a framework and methodology for the definition of benefit-based adaptivity metrics. The metrics thus defined allow an informed choice between systems based on their adaptivity to be made. We demonstrate application of the framework in a case study of restart strategies for Web Services Reliable Messaging. Additionally, we provide a broad survey of related approaches that may be used in the study of adaptivity (comprising, among others, robustness, performability, and control analysis), and evaluate their respective merits in relation to the proposed adaptivity metric.}, doi = {DOI: 10.1016/j.peva.2009.12.001}, issn = {0166-5316}, keywords = {Adaptivity}, owner = {blywis}, timestamp = {2010.07.07}, url = {http://science.atmoshome.net/science/article/B6V13-4XY9DDS-1/2/d44d86fb0980f8ac29c06fb35b2134e5} }