Introduction to probability and statistics (7th ed.)
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The Computer Journal
A Linear Algorithm for Generating Random Numbers with a Given Distribution
IEEE Transactions on Software Engineering
On the learnability of discrete distributions
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
Distribution functions of probabilistic automata
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
A framework for constructing features and models for intrusion detection systems
ACM Transactions on Information and System Security (TISSEC)
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DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
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Recognition of continuous probability models
WSC '05 Proceedings of the 37th conference on Winter simulation
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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.