Cloneable Jellyfish Search Optimizer Based Task Scheduling in Cloud Environments

نویسندگان

چکیده

For cloud environments, task scheduling focusing on the optimal completion time (makespan) is vital. Metaheuristic approaches can be used to produce efficient solutions that will provide important cost savings both service provider and clients. On other hand, since there a high probability of getting stuck in local minima metaheuristic due type problem, it may not always possible quickly reach solution. This study, using approach, proposes solution based Cloneable Jellyfish Algorithm for distribution environments. The unique feature proposed algorithm allows dynamic population growth carried out controlled manner order get during exploration phase. In addition, this algorithm, which uses different cloning mechanism so similar candidates are generated growth, has made achieve shorter time. To observe performance, environment simulations created Cloudsim simulator have been used. experiments, success compared classical algorithms proven.

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ژورنال

عنوان ژورنال: Türk do?a ve fen dergisi

سال: 2022

ISSN: ['2147-303X', '2149-6366']

DOI: https://doi.org/10.46810/tdfd.1123962