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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 12, 2018.
Abstract: When it comes to processes distributed in process nodes that access critical resources shared in the modality of distributed mutual exclusion, it is important to know how these are managed and the order in which the demand for resources is resolved by the processes. Being in a shared environment, it is necessary to comply with certain rules, for instance, access to resources must be achieved through mutual exclusion. In this work, through an aggregation operator, a consensus mechanism is proposed to establish the order of allocation of resources to the processes. The consensus is understood as the agreement that must be achieved for the allocation of all the resources requested by each process. To model this consensus, it must be taken into account that the processes can form group of processes or be independent, the state of the nodes where each of them is located, the computational load, the number of processes, the priorities of the processes, CPU usage, use of main memory, virtual memory, etc. These characteristics allow the evaluation of the conditions to agree on the order in which allocations of resources to processes will be made.
Federico Agostini, David L. La Red Martínez and Julio C. Acosta, “Modeling of the Consensus in the Allocation of Resources in Distributed Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 9(12), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091204
@article{Agostini2018,
title = {Modeling of the Consensus in the Allocation of Resources in Distributed Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091204},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091204},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {12},
author = {Federico Agostini and David L. La Red Martínez and Julio C. Acosta}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.