Cloud computing is a model for enabling ubiquitous network access to a shared pool of configurable computing resources. Cloud computing and storage solutions provide users and enterprises with various capabilities to store and process their data in third-party data centers. It relies on sharing of resources to achieve coherence and economies of scale, similar to a utility over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services. In order to attract customers with various demands, most Infrastructure-as-a-service (IaaS) cloud service providers offer several pricing strategies. From an individual cloud service provider’s perspective, it is important to keep its competitiveness among peer cloud service providers. A cloud broker can fully take advantage of the discounts offered by cloud service providers by strategically scheduling multiple customers’ resource requests. This paper focuses on how a broker can help a group of customers to fully utilize the volume discount pricing strategy offered by cloud service providers through cost-efficient online resource scheduling. In this project, the system presents space consumption algorithm for reduce the usage cost and increase the user.