A Two-Phase Cyclic Nonhomogeneous Markov Chain Performability Evaluation by Explicit Approximate Inverses Applied to a Replicated Database System.

Autor: A. N. Platis, G. A. Gravvanis, K. M. Giannoutakis, E. A. Lipitakis
Zdroj: Journal of Mathematical Modelling & Algorithms; Jul2003, Vol. 2 Issue 3, p235-249, 15p
Abstrakt: The need for a more accurate modeling of the performance of systems whose functioning mainly dependant on external time parameters such as the number of requests during a particular time phase, led us to a novel approach, taking into account the time parameters involved. This is achieved through the evaluation of a performability indicator modeled by means of a two-phase cyclic nonhomogenous Markov chain considering periodical time-dependant arrival request probabilities and applied to a replicated database system. The computation of the performability indicator modeled by cyclic nonhomogeneous Markov chain requires the use of efficient computational methods by using explicit approximate inverse preconditioning methods. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
Externí odkaz: