Enhancing query processing on stock market cloud-based database

Cloud computing is rapidly expanding because it allows users to save the development and implementation time on their work. It also reduces maintenance operational costs of used systems. Furthermore, enables elastic use any resource rather than estimating workload, which may be inaccurate, as database systems can benefit from such a trend. In this paper, we propose an algorithm that allocates materialized view over cloudbased replica sets enhance system's performance in stock market using Peerto-Peer architecture. The results show proposed model (MVCRS) improves query processing network transfer cost by distributing views sets. Also, has significant effect decision-making achieving economic returns.