We aim to design and implement a massive parallel distributed data server for Web 2.0 applications and Community Web Management system. The system provides easy-to-use query interface
which uses a high level user-friendly query language for ease of information retrieval and allows users to publish information without conforming to any schema.
We will design easy-to-use and efficient-to-process data model for representing
the data units of various structures. We will design and implement distributed data storage system with high availability and scalability and propose effective and efficient techniques to index huge and diverse datasets, highly parallelized query processing and correctness guarantees and performance modeling.