IJCA Proceedings on International Conference on Innovations in Computing Techniques (ICICT 2015)

© 2015 by IJCA Journal

ICICT 2015 - Number 1

Year of Publication: 2015

Vijaya N Raghavan, R Sujitha and K s Suganya. Article: Job Scheduling in Computational Grid using the Intelligence of Hybrid Fuzzy - Android System. *IJCA Proceedings on International Conference on Innovations in Computing Techniques (ICICT 2015)* ICICT 2015(1):22-28, July 2015. Full text available. BibTeX

@article{key:article, author = {N. Vijaya Raghavan and R. Sujitha and K.s. Suganya}, title = {Article: Job Scheduling in Computational Grid using the Intelligence of Hybrid Fuzzy - Android System}, journal = {IJCA Proceedings on International Conference on Innovations in Computing Techniques (ICICT 2015)}, year = {2015}, volume = {ICICT 2015}, number = {1}, pages = {22-28}, month = {July}, note = {Full text available} }

In the computational grid environment, algorithms specified for scheduling plays a vital role in managing the jobs. The main aim of the scheduling algorithms is to allocate the tasks to the availability at the mean time to the suitable resources. The makespan and cost for task execution can be minimized by an efficient task scheduling algorithm; it also helps to improve the load balancing among the resources in the grid environment. In recent days a major problem is, scheduling the independent tasks in a grid environment. In this paper, scheduling the independent task is taken as a challenge and a near optimal solution is obtained. Un-Prevail systematic grouping Genetic algorithm (UPSGA) is used by us to find the optimal solution for the task scheduling problem in grid environment. Fuzzy system is used to schedule the tasks indirectly to improve the load balancing between the resources. Dissimilarity based fuzzy crossover operator-II is proposed along with Android (friend map finder) for scheduling the tasks indirectly. Availability of resources and conflicts of costs provides the chance to cross over efficiently in fuzzy system. Near optimal solution for load balancing between resources are achieved with the help of makespan results.

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