Automated testing for distributed databases with fuzzy fragment reallocation

Abstract

As the Internet and big data become more widespread, relational database management systems (RDBMSs)become increasingly inadequate for web applications. To provide what RDBMSs cannot, during the past 15 yearsdistributed database systems (DDBSs) have thus emerged. However, given the complicated structure of these systems,the methods used to validate the efficiency of databases, all towards ensuring quality and security, have become diversified.In response, this paper demonstrates a system for performing automated testing with DDBSs, given that testing issignificant in software verification and that accredited systems are more productive in business environments. Theproposed system applies several tests to MongoDB-based NoSQL databases to evaluate their instantaneous conditions,such as average query response times and fragment utilizations, and, if necessary, suggest improvements for indexes andfragment deployment. Within this context, autogenerated data, replica, meta, system, fragment, and index tests areapplied. Clearly, the system’s most important feature is its fuzzy logic-enabled fragment reallocation module, whichallows the creation and application of reallocation strategies that account for data changes in query frequency.