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2009
IEEE

Self-Adaptive Techniques for the Load Trend Evaluation of Internal System Resources

9 years 10 months ago
Self-Adaptive Techniques for the Load Trend Evaluation of Internal System Resources
Modern distributed systems that have to avoid performance degradation and system overload require several runtime management decisions for load balancing and load sharing, overload and admission control, job dispatching and request redirection. As the external workload and the internal resource behavior of the modern system is highly complex and variable, selfadaptive techniques require a stable vision of the system behavior. In this paper we propose a trend model that guarantees a robust interpretation for load-aware decision algorithms. Various experimental results in a Web cluster demonstrate that the proposed models and algorithms guarantee better stability of the load and a reduction of the response time experienced by the users.
Sara Casolari, Michele Colajanni, Stefania Tosi
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICAS
Authors Sara Casolari, Michele Colajanni, Stefania Tosi
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