Load Balancing of Unbalanced Matrix Problem of Maximum Machines with Min Min Algorithm
Ranjan Kumar Mondal1, Payel Ray2, Enakshmi Nandi3, Debabrata Sarddar4

1Ranjan Kumar Mondal, CSE, University of Kalyani, WB, India.
2Payel Ray, CSE, University of Kalyani, WB, India.
3Enakshmi Nandi, CSE, University of Kalyani, WB, India.
4Dr. Debabrata Sarddar, CSE, University of Kalyani, WB, India.

Manuscript received on 3 August 2019. | Revised Manuscript received on 9 August 2019. | Manuscript published on 30 September 2019. | PP: 627-629 | Volume-8 Issue-3 September 2019 | Retrieval Number: B2419078219/19©BEIESP | DOI: 10.35940/ijrte.B2419.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Most eminent computing technology related to the cloud is an exclusively web-based approach where resources are hosted on a cloud; it prospers the resources. Cloud computing is the most promising technologies that offer a standard for bulky sized computing. That is a structure for enabling applications to execution on virtualized resources and accessed by a network protocol. It provides resource and services in a very elastic behavior that can be scaled according to the required of the clients. Limited numbers of devices execute less number of tasks at that time. So it is more complex to perform each task at once. Several devices execute each task, so it has required balancing total loads that reduce the completion time and executes each task in a definite way. We have said earlier that there are not feasible to stay behind an equal server to execute similar tasks. The tasks that are to be executed by machine in the cloud system must be less than the united VM for a time. Overloaded servers have to perform a less number of jobs. Here in our approach, we want to show a scheduling algorithm for balancing of loads and presentation with minimum execution time and makespan.
Index Terms: Load Balancing, Task Scheduling, Hungarian method.

Scope of the Article: Task Scheduling