Title :
Probabilistic resource state estimation in networked environments: the case of computational grids
Author :
Derbal, Youcef M.
Author_Institution :
Sch. of Inf. Technol. Manage., Ryerson Univ., Toronto, Ont., Canada
Abstract :
Computational grids (CGs) are large scale, geographically distributed networks of computing resources spanning distinct management domains. The dynamic state of these resources is only observable with an uncertainty induced by various grid environmental factors. In order to address this uncertainty we explore the use of Markov chains to model the grid resource state dynamics. The simulation results show that the model provide a resource state prediction within a small margin of error.
Keywords :
Markov processes; grid computing; probability; resource allocation; ubiquitous computing; Markov chains; computational grid; distinct management domains; geographically distributed network; large scale system; resource state dynamics; Computer network management; Computer networks; Distributed computing; Environmental factors; Grid computing; Large-scale systems; Predictive models; Resource management; State estimation; Uncertainty;
Conference_Titel :
Communication Networks and Services Research Conference, 2005. Proceedings of the 3rd Annual
Print_ISBN :
0-7695-2333-1
DOI :
10.1109/CNSR.2005.50
