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A Secure Fuzzy based Enhanced Multi-Queue Job Scheduling Algorithm (EMQJSA) for Load Balancing in Cloud Computing
Author(s) -
Aina Sharma,
Bong Soo
Publication year - 2018
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2018917801
Subject(s) - computer science , cloud computing , queue , load balancing (electrical power) , fuzzy logic , distributed computing , job scheduler , scheduling (production processes) , job queue , active queue management , algorithm , computer network , operating system , artificial intelligence , mathematical optimization , network congestion , mathematics , geometry , grid , network packet
The reduction of cost and global utilization of resources shows less wastage of computing power in the era of cloud computing. This field of cloud computing is more preferable now a days because of having most unique and distinct advantages viz. 24*7 on availability mode, no any extra hardware & software requirement and provides eco-friendly environment. In this research paper, authors proposed a new designed methodology “EMQJSA” which is termed as anEnhanced Multi-Queue Job Scheduling Algorithm whose main purpose is to balance the load among cloud nodes on cloud server by utilizing the concept of cloud job scheduling. The working of this new designed methodology is totally based on Fuzzy logic. The main reason to combine fuzzy logic with newly designed methodology is to achieve high rate of accuracy in terms of results when run cloud jobs on cloud servers.The different parameter considerations viz. waiting time, response time, execution time, trust, throughput and performance plays a vital role in this paper when implemented on newly designed methodology. The main motive of this new designed methodology is to improve the overall performance of the cloud server while performing a managed load balancing. In addition, the other benefit to design this enhanced

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