A Literature Review on Maximizing Profit using Cloud Brokerage in Cloud Computing

Abstract

A successful and effective approach to provide computing assets and services to customers on their preference, cloud computing is the most prominent domain. Alongside the enhancement of cloud computing, and the ever-increasing number of utilizations are relocated into the cloud. From the cloud specialist's perception, profit is a key factor alongside offering quality services to users, and it is controlled by the model of a cloud service platform based on the given market demand. Be that as it may, most clients consistently should pay more their genuine usage because of the one-hour billing cycle. Likewise, most cloud specialist organizations give a specific rebate to long-term clients, yet short momentary clients with little demands cant enjoy these discounts. Hence, the practical problem in Infrastructure-as-a-Service (IaaS) is to reduce their costs which limit their expenses by picking distinctive estimating choices dependent on their requests. As of late, cloud brokerage service (intermediary between cloud suppliers and cloud clients) is introduced to handle this issue. It leases various reserved VMs from the cloud suppliers with a decent cost and offers them to the clients on-demand premise at a less expensive cost than that given by the cloud suppliers directly. Moreover, the cloud broker receives a shorter billing cycle contrasted with cloud suppliers. By doing this, the cloud merchant can diminish a lot of costs for the client. Also, to diminish the cost, the cloud broker likewise could acquire the distinction in cost between on-demand and reserves VMs. Nevertheless, because of the perishability of cloud resources, they're still having the most inactive resource waste during the booking time of reserved instances. This resource waste problem is still a challenging issue for the cloud broker when purchasing reserving instances to oblige the clients job requests. In this paper, we presented a brief review of the usage of cloud brokerage service. Furthermore, a comprehensive study of solutions given by numerous authors to overcome this problem are presented.