The week's pick
Reseach Article
Load Balancing Technique in Public Cloud Environments using Combination of Heuristic Function and KNN Classification
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 182 - Number 12 |
| Year of Publication: 2018 |
| Authors: Rahul Dongarde, Devashri Deoskar, Amit Saxena |
10.5120/ijca2018917790
|
Rahul Dongarde, Devashri Deoskar, Amit Saxena . Load Balancing Technique in Public Cloud Environments using Combination of Heuristic Function and KNN Classification. International Journal of Computer Applications. 182, 12 ( Aug 2018), 30-34. DOI=10.5120/ijca2018917790
Abstract
The proper utilization of virtual machine in cloud computing environments, manage the process of load. The process of load balancing increases the efficiency and utility of cloud environments. The major components for the balancing of load is allocation of resource and distribution of tasks. For the allocation and distribution of tasks various swarm-based algorithms is proposed and enhanced the performance of cloud environments. In this paper proposed the virtual machine classification technique based on the distribution of tasks using heuristic function. The proposed algorithm is combination of KNN algorithm and ant colony optimization. The ant colony optimization is meta-heuristic function used for the process of optimization. The proposed algorithm simulated in CLOUDSIM 3.0 and measure the performance of proposed algorithm.
References
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