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Application of Cukoo Algorithm to Improve Economic Scheduling In Grid Computing
Author(s) -
Alireza Azadmanesh,
Majid Sina
Publication year - 2015
Publication title -
environment conservation journal/environment conservation journal
Language(s) - English
Resource type - Journals
eISSN - 2278-5124
pISSN - 0972-3099
DOI - 10.36953/ecj.2015.se1612
Subject(s) - computer science , algorithm , grid , process (computing) , scheduling (production processes) , population , grid computing , mathematical optimization , mathematics , geometry , demography , sociology , operating system
In this article, Cukoo algorithm was used to improve the economic scheduling in grid computing. Different economic calculation methods is evaluated given the synchronization importance of time and cost criteria. Using TCI algorithms, a new algorithm was proposed based on Cukoo algorithm. Evaluation the implementation process of this algorithm needs to new algorithm based on the previous proposal that has the ability to regard prerequisite tasks to deliver optimum results. To compare and evaluate the capabilities of the proposed method, we need a simulator that can be used for many different tasks in the DAG to provide the model to deal with the proposed algorithm. The results of our proposed method compared to TCI method has a huge amount of optimality. Also, it was shown that the population growth in the process of review, increases the speed to achieve optimal value and the higher repetitions will reduce the time to reach optimal results.

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