Data model for cloud computing environment

Abstract

The emergence of cloud computing has reduced the cost of deployment and storage dramatically, but only if data can be distributed across multiple servers easily without disruption. In a complex SQL database, this is difficult because many queries require multiple large tables to be joined together to provide a response. Executing distributed joins is a very complex problem in SQL databases. In addition, previous studies have shown that NoSQL databases performance better than SQL databases especially in the cloud computing environment where there is occurrence of huge volume of data. In this paper, we presents a novel data model for cloud services brokerage that supports the allocation, control and management of virtual system based on brokering function between cloud service providers (CSPs) and cloud users by integrating and man- aging cloud resources in a heterogeneous cloud environment. The model is implemented on a private lightweight cloud network using a graph and document-oriented databases. The experimental results show that a graph model has better performance than a document-oriented model in terms of queries execution time.