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Manik Rakhra,   Neha Verma

Department of Computer Science and Engineering, Lovely Professional University, Phagwara, India

Correspondence should be addressed to Manik Rakhra; rakhramanik786@gmail.com

Received 14-11-2020; Accepted 01-12-2020; Published 02-12-2020

Handling Editor :   Ashutosh Sharma


In this recommended framework that strengthened the adaptive hierarchical scheduling objectives to build such a program that can perform N amount of jobs on processors that can work much better and operate more effectively than current systems. In this paper, suggest a hybrid method for scheduling multi-computers in large-scale distributed memory, named dynamic scheduling, which illustrates the possible advantages of memory slicing and duration filtering while concurrently addressing their disadvantages. The effects of such a mix through comprehensive simulated studies where two workload models test the relative efficiency of the tree strategy along with appropriate space and time slicing techniques.