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Self-Reconfiguration of Service-Based System for Service Level Agreements and Resource Optimization

Self-Reconfiguration of Service-Based System for Service Level Agreements and Resource Optimization

Ying Li, Kewei Sun, Jie Qiu, Ying Chen
Copyright: © 2006 |Volume: 3 |Issue: 2 |Pages: 20
ISSN: 1545-7362|EISSN: 1546-5004|ISSN: 1545-7362|EISBN13: 9781615204571|EISSN: 1546-5004|DOI: 10.4018/jwsr.2006040104
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MLA

Li, Ying, et al. "Self-Reconfiguration of Service-Based System for Service Level Agreements and Resource Optimization." IJWSR vol.3, no.2 2006: pp.81-100. http://doi.org/10.4018/jwsr.2006040104

APA

Li, Y., Sun, K., Qiu, J., & Chen, Y. (2006). Self-Reconfiguration of Service-Based System for Service Level Agreements and Resource Optimization. International Journal of Web Services Research (IJWSR), 3(2), 81-100. http://doi.org/10.4018/jwsr.2006040104

Chicago

Li, Ying, et al. "Self-Reconfiguration of Service-Based System for Service Level Agreements and Resource Optimization," International Journal of Web Services Research (IJWSR) 3, no.2: 81-100. http://doi.org/10.4018/jwsr.2006040104

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Abstract

The configuration of a service-based system has a significant impact on the non-functional requirements of the system as a whole. However, finding the best configuration is very challenging and sometimes impossible for administrators because so many factors have to be considered. More importantly, a service-based system has to be frequently reconfigured to adapt to rapid and continuous changes in user requirements and runtime environments. In this paper we propose an autonomic computing approach to the problem of reconfiguration, that is, enabling the service-based system to configure itself by means of a loop of monitoring, analyzing, planning and executing. We begin by formalizing the definition of reconfiguration. Then, we describe how to implement the autonomic computing mechanisms for reconfiguring service-based systems to satisfy Service Level Agreements with minimal resource consumption. The approach is demonstrated on a resilient service provisioning environment. Finally, the preliminary experiments are evaluated to determine the effectiveness of proposed approach.

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