An Efficient Task Scheduling Management Technique Using Improved Genetic Algorithm
Ranjith Kumar Vollala1, L. Venkateswara Reddy2
1Ranjith Kumar Vollala, Department of Computer Science & Engineering, Rayalaseema University, Kurnool (Andhra Pradesh), India.
2Dr. L.Venkateswara Reddy, Department of Information and Technology, Sree Vidyaniketan Engineering College, Tirupati (Andhra Pradesh), India
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1277-1280 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3471048619/19©BEIESP
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Abstract: Distributed computing is a current landing to the Universe of IT framework. The idea enables organizations to augment usage of their possibilities and thus help their execution. One of the fundamental advantages of Cloud Computing is the huge increment in proficiency of executing strategies for success. Furthermore, Cloud Computing furnishes vast scale applications with capable processing power crosswise over worldwide areas. However Cloud clients can share their information effortlessly by utilizing replication approaches. This paper used parameter like task allocation and time delayThis exploration advancement involves the plan of upgraded stack adjusting calculations that consider the greatness and heading of the heap in work process applications. This paper reviews the some of the task scheduling algorithms. The proposed technique gives better results than existing technique.
Keyword: Algorithm Computing Applications Processing.
Scope of the Article: Web Algorithms