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Markovian workload modeling for Enterprise Application Servers

Performance analysis of Enterprise Application Servers (EAS) plays a critical role in all e-business enterprises. Workload modeling is considered as a powerful performance analysis tool. In this paper we employ our Dynamic Semi-Markov Model (DSMM) to efficiently model the incoming workload toward EAS. Firstly we offer a similarity operator to prevent the redundancy in a repository of workload models. Secondly we propose a generic modeling component to facilitate workload modeling for any EAS based on DSMM. Afterwards we present evaluation results to show the applicability of the proposed solution on these complex EAS systems.