Performance Evaluation with Hidden Markov Models
| Autor: | E. de Souza e Silva, Rosa M. M. Leão, Richard R. Muntz |
|---|---|
| Přispěvatelé: | Programa de Engenharia de Sistemas e Computação (PESC), Universidade Federal do Rio de Janeiro (UFRJ), University of California [Los Angeles] (UCLA), University of California, Karin Anna Hummel, Helmut Hlavacs, Wilfried Gansterer, TC 6, TC 7, WG 6.3, WG 7.3 |
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Engineering
business.industry hidden Markov models Speech recognition 020206 networking & telecommunications Workload 02 engineering and technology network applications Machine learning computer.software_genre 01 natural sciences Power (physics) performance evaluation 010104 statistics & probability [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] ComputingMethodologies_PATTERNRECOGNITION 0202 electrical engineering electronic engineering information engineering [INFO]Computer Science [cs] Artificial intelligence 0101 mathematics Hidden Markov model business computer Communication channel |
| Zdroj: | Lecture Notes in Computer Science Performance Evaluation of Computer and Communication Systems (PERFORM) Performance Evaluation of Computer and Communication Systems (PERFORM), Oct 2010, Vienna, Austria. pp.112-128, ⟨10.1007/978-3-642-25575-5_10⟩ Performance Evaluation of Computer and Communication Systems. Milestones and Future Challenges ISBN: 9783642255748 PERFORM |
| DOI: | 10.1007/978-3-642-25575-5_10⟩ |
| Popis: | Part 3: Modeling; International audience; The use of hidden Markov models (HMMs) has found widespread use in many different areas. This chapter focuses on HMMs applied to the performance evaluation of computer systems and networks. After presenting a brief review of background material on HMMs, applications such as channel delay and loss characteristics, traffic modeling and workload generation are surveyed. The power of HMMs as predictors of performance metrics is also highlighted. We conclude by presenting a few features of the module of the Tangram-II performance evaluation tool that is targeted to HMMs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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