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Towards Self-Aware Performance and Resource Management in Modern Service-Oriented Systems

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4 Author(s)
Kounev, S. ; Karlsruhe Inst. of Technol., Karlsruhe, Germany ; Brosig, F. ; Huber, N. ; Reussner, R.

Modern service-oriented systems have increasingly complex loosely-coupled architectures that often exhibit poor performance and resource efficiency and have high operating costs. This is due to the inability to predict at run-time the effect of dynamic changes in the system environment (e.g., varying service workloads) and adapt the system configuration accordingly. In this paper, we describe a long-term vision and approach for designing systems with built-in self-aware performance and resource management capabilities. We advocate the use of architecture-level performance models extracted dynamically from the evolving system configuration and maintained automatically during operation. The models will be exploited at run-time to adapt the system to changes in the environment ensuring that resources are utilized efficiently and performance requirements are continuously satisfied.

Published in:

Services Computing (SCC), 2010 IEEE International Conference on

Date of Conference:

5-10 July 2010