Distributed Query Optimization and Indexing Schemas in Cloud Server

Optimal Query Anatomization uses the similarity and filtering approaches for storing processing and managing huge amounts of data.To increase the metadata extraction accuracy an optimal distributed query processing based on canonicalization algorithm is proposed. It is then filtered using a cuckoo filter for obtaining the possible relevant queries. Then the qualified sequence templates are stored in the template database. Now the canonical strings of the user query are checked with the template database for sequence matching. Finally query mapping is done for the matched sequence.