Paper Title :Parallel Scheduling of Jobs Using Flower Pollination Process
Author :Mandeep Kaur, Monika Sachdeva
Article Citation :Mandeep Kaur ,Monika Sachdeva ,
(2016 ) " Parallel Scheduling of Jobs Using Flower Pollination Process " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 19-24,
Volume-4, Issue-10
Abstract : Parallel Processing is a technique to maximize the throughput and efficiency of the system. It is a process of
executing multiple jobs over multiple processors simultaneously to minimize the overall completion time of all the jobs.
Artificial intelligence technique is used to speed up the parallel process. Genetic Algorithm (GA) is a bio-inspired algorithm,
copies the natural reproduction genetic behavior to execute the tasks. Flower Pollination based optimization (FPBO)
algorithm, a nature inspired algorithm, follows the process of pollination of flowers. GA and FPBO algorithms are used to
execute the jobs in parallel and their corresponding results are compared. FPBO results better than GA.
Index Terms— Directed Acyclic Graph, Flower Pollination Based Optimization algorithm, Genetic Algorithm, Parallel
Processing.
Type : Research paper
Published : Volume-4, Issue-10
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-5923
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Copyright: © Institute of Research and Journals
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Published on 2016-11-07 |
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