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An approach for dynamically load balanced flow scheduling(DLBS) in cloud
Author(s) -
A. Sheela,
J. Jennifer Ranjani
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.33.14844
Subject(s) - computer science , weighted round robin , scheduling (production processes) , round robin scheduling , distributed computing , fair share scheduling , load balancing (electrical power) , data center , dynamic priority scheduling , earliest deadline first scheduling , server , rate monotonic scheduling , computer network , real time computing , mathematical optimization , quality of service , mathematics , geometry , grid
The Paper based on load balanced flow scheduling algorithm. This algorithm is used in which huge amount of data send to multiple servers frequently without a few traffic, isolation in open flow network. In existing load balanced algorithm based on huge amount of data send to several server but it suffers from that that algorithm is not support to other open flow networks model and transmission pattern. In this proposed load balanced scheduled algorithm with Round Robin deals with maximizing the network throughput dynamically. The (Dynamically Load Balanced Flow Scheduling) DLBS problem is formulated , considerably a efficient heuristic scheduling algorithms was developed for the two typical Open Flow network model, they have data flow from time slot. The outcome represents load-balanced scheduling algorithms Round Robin and LOBUS with effective improvement in DLBS move toward will carry to the data centers. Plenty of researchers pay large number of attention on software-dened networking.    

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