Abstract
Cloud computing is a widely used technology today and thus, large number of applications are being stored in the cloud. To cater to the needs of the consumers an intermediate role known as cloud broker has been introduced. It helps to cut down overall expenses of the cloud users. The proposed system concentrates on configuration of the cloud broker to improve profit. This maximization scheme depends upon various factors like customer request, selling price of the resource, purchasing price of the resource, intensity of the request and so on. The system developed, aims at maximizing the profit of the cloud broker who services consumer requirements by providing cloud infrastructure at a lower cost from an infrastructure vendor. Availing pay-as-you-go schemes or on-demand payment has proven to be useful. The complex cloud landscape along with various billing schemes paves a way for a profit maximization model that incorporates temporal multiplexing by a middleman entity for a better economic upfront. The resource multiplexing is further enhanced by incorporating M/D/c queueing model and short-term and long-term renting schemes to optimize the resource allocation. The entire application has been implemented using Java especially the NetBeans IDE 8.2. Different algorithms were compared to further enhance the pricing scheme selection. Finally, Hill-Climbing algorithm is used to allocate the resources dynamically. The system further notifies the cloud broker on resource shortage through dynamic disk utilization graph. The proposed system considers quality of service and price of service as the determining factors in maximizing the net profit of the cloud broker.
Highlights
The advancement in the field of cloud computing has seen a huge progress, this offers increased opportunities to cloud service providers
A considerate number of large-scale and small-scale cloud service providers have emerged such as AWS, GoGrid, Rackspace and so on
In Infrastructure as a Service (IaaS), an infrastructure vendor rents out storage, compute power and other resources available in the cloud to meet the customer demands through various billing schemes
Summary
The advancement in the field of cloud computing has seen a huge progress, this offers increased opportunities to cloud service providers. A considerate number of large-scale and small-scale cloud service providers have emerged such as AWS, GoGrid, Rackspace and so on. Cloud computing model has three divisions: Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS) to name them. In IaaS, an infrastructure vendor rents out storage, compute power and other resources available in the cloud to meet the customer demands through various billing schemes. In PaaS, the cloud service provider enables the customers to build, configure and deploy their applications by providing a platform where the clients do not have to model and maintain infrastructure. In SaaS, the software provider allows users to deliver their applications to multiple regions globally over the internet without having to be involved in complex management of hardware and software
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