Efficient Cost Optimization using Transportation Mechanisms for Cloud Computing Environment

Abstract

Efficient computations are increasing now a day, so their need is very high in the world. Infrastructure and computation techniques are not as much as efficient in conventionally or in present scenario, therefore the cloud computing is new to deal this type of problems. Sequencing of hardware and software technologies, for giving scalable and low cost computational understandings in cloud computing. The major focus of this research is to diminish the transportation cost of resource allocation along with various virtual machines in cloud computing environment. In this research paper, implementation of Vogel's Approximation Method (VAM) to obtain an Initial Basic Feasible Solution (IBFS) and an algorithm to optimize the cost of resource transportations for cloud service provider (CSP) as well as present an example also to understand the proposed method for total supply values and total demand values. Although the calculation of cost reduction until the iteration still has a non-negative values, and the calculation is done again until the last iteration. A comparison has been shown the cost of the proposed mechanism is much less from other technique.