Big data storage management is one of the most challenging issues for Grid computing environments, since large amount of data intensive applications frequently involve a high degree of data access locality. Grid applications typically deal with large amounts of data. In traditional approaches high-performance computing consists dedicated servers that are used to data storage and data replication. In this paper, the authors present a new mechanism for distributed and big data storage and resource discovery services. Here, the authors proposed an architecture named Dynamic and Scalable Storage Management (DSSM) architecture in grid environments.