Optimal server resource reservation policies for priority classes of users under cyclic non-homogeneous markov modeling

Resource availability optimization is studied on a server–client system where different users are partitioned into priority classes. The aim is to provide higher resource availability according to the priority of each class. For this purpose, resource reservation is modeled by a homogeneous continuo...

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Bibliographic Details
Published in:	European journal of operational research Vol. 198; no. 2; pp. 545 - 556
Main Authors:	Koutras, V.P., Platis, A.N., Gravvanis, G.A.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 16.10.2009 Elsevier Elsevier Sequoia S.A
Series:	European Journal of Operational Research
Subjects:	Applied sciences Approximate inverse matrix algorithms Approximation Decision theory. Utility theory Exact sciences and technology Heuristic Markov analysis Non-homogeneous Markov chains Operational research and scientific management Operational research. Management science Optimization Optimization algorithms Preconditioning Priority classes Resource allocation Resource availability modeling Server resources Server resources Priority classes Resource availability modeling Non-homogeneous Markov chains Optimization Approximate inverse matrix algorithms Preconditioning Stochastic models Studies Server resources Approximate inverse matrix algorithms Resource availability modeling Non-homogeneous Markov chains Priority classes Preconditioning Optimization Markov process Homogeneous model Resource allocation Optimal policy Multiobjective programming Continuous time Generalized inverse Modeling Markov chain Inverse matrix Sparse matrix Service differentiation Mathematical programming Availability Priority Client server architecture Inverse problem Heuristic method User behavior
ISSN:	0377-2217, 1872-6860
Online Access:	Get full text
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