Advanced Mechanism to Achieve QoS and Profit Maximization of Brokers in Cloud Computing

• Main Authors: Akanksha Sathish, Diana Dsouza, K. Ballal, Archana M, Tarun Singh, Glen Monteiro
• Format: Article
• Language: English
• Published: European Alliance for Innovation (EAI) 2021-07-01
• Series: EAI Endorsed Transactions on Cloud Systems
• Subjects: cloud broker; cloud computing; multiplexing; profit maximization; quality of service
• Online Access: https://eudl.eu/pdf/10.4108/eai.23-6-2021.170244

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.