Abstract

Cloud computing is concerned with effective resource utilization and cost optimization. In the existing system, the cost of resources is much higher. To overcome this problem, a new model called Classification and Merging Techniques for Reducing Brokerage Cost (CMRBC) is designed for effective resource utilization and cost optimization in the cloud. CMRBC has two benefits. Firstly, this is a cost-effective solution to service providers and customers. Secondly, for every job, virtual machine (VM) creations are avoided to reduce brokerage. The allocation, creation or selection of resources of VM is carried out by broker. The main objective is to maximize the resource utilization and minimize brokerage in cloud computing by using Multi-Objective Optimization (MOO). It considered a multi-attribute approach as it has more than two objectives. Likewise, CMRBC implements efficient resource allocation to reduce the usage cost of resources. The outcome of the experiment shows that CMRBC outperforms 60 percent of reduction in brokerage and 10 percent in response time.

Highlights

  • In the early days, for the archival of stored data from personal computers, one had to have access to the personal computer

  • To access resources from a fixed landline server, one had to have access to the grid; this was time-consuming, and in contrast, the cloud is not restricted to storage alone, but it is used for computing and networking

  • The CMRBC model utilizes 100% of resource utilization by creating one larger job which contains a set of jobs, but a virtual machine is only created for larger jobs; so, by doing this we can reduce 60% of brokerage and 60% of the overall execution cost

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Summary

Introduction

For the archival of stored data from personal computers, one had to have access to the personal computer. To access resources from a fixed landline server, one had to have access to the grid; this was time-consuming, and in contrast, the cloud is not restricted to storage alone, but it is used for computing and networking. In computers and computer networking, the network has a complicated section and the collection of computer systems is affected. Details about the computer systems delivering the service do not concern the user. Details of how this happens do not matter, and the system appears in a cloud. Users started to purchase or install software and data centers of their own; this proved to be costly

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