An improved pricing algorithm for infrastructure as a service cloud

Marketing in cloud systems enables users to trade and share resources. For the sales of services, client applications and service providers negotiate to make a service level agreement. Offering prices in the negotiation of services become one that is challenging. A federal cloud is an efficient approach of recent interest to better balance risk sharing between services provider and customer. This work presents a new algorithm to increase service provider revenue and reducing user costs simultaneously. The auction of remaining time spent on resources and interactions between federal clouds increases the profits of clouds, the number of successful requests, and reduces users' costs. The simulation results confirm the expectations of the proposed approach. Copyright © 2021 Inderscience Enterprises Ltd.