Publication Type:

Journal Article


Journal of Theoretical and Applied Information Technology, Asian Research Publishing Network, Volume 87, Number 2, p.285-290 (2016)



<p>Larger the information technology grows, larger will be the data generated, balancing the huge data is always a big question for the information management industry. Cloud computing uses virtual data storage and infrastructure which manages stores and processes huge volume of data. As the cloud offers major services to the clients, it is very important to balance the incoming requests. The aim of the system is to propose an efficient scheduling algorithm and to achieve optimal load balancing. The algorithm address the challenges faced with cloud load management by selecting best cloud partition for workload management, incorporating a novel selection and scheduling algorithm with an assignment problem principle approach for scheduling known as VISTA scheduling algorithm and achieving optimized solution with minimum utilization of processing metrics. © 2005 - 2016 JATIT &amp; LLS. All rights reserved.</p>


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Cite this Research Publication

S. Manishankar, Sandhya, R., and Bhagyashree, S., “Dynamic load balancing for cloud partition in public cloud model using VISTA scheduler algorithm”, Journal of Theoretical and Applied Information Technology, vol. 87, pp. 285-290, 2016.