Abstract: A method and system for parallel query processing is provided. The method includes estimating a number of sub-queries that may be formed corresponding to an input query. The method further includes fragmenting the input query into a plurality of sub queries by adding one or more filter predicates to the input query without altering the semantics of the input query. Further, processing of the sub queries is scheduled. Thereafter, one or more query execution plans are generated and processed. Following the processing of the query execution plans, the results of the processed sub queries are collated, aggregated and presented in a required format.

Abstract: A method for processing a distributed query in a network of computational resources is provided. The method includes receiving a user-defined freshness criterion and a distributed query from a user. The user-defined data freshness criterion is based on the version of the distributed query results desired by the user. An integrated cost model is formulated to optimize the execution of the distributed query. The integrated cost model is based on one or more integrated cost model factors. Thereafter, an objective function is constructed, based on the processing cost for each of the one or more copies of the one or more relations, and a data transmission cost for the transfer of the one or more copies of the one or more relations from a first to a second computational resource. Subsequently, an optimal solution of the objective function is calculated by using one or more heuristic approaches.

Abstract: A method for processing a distributed query in a network of computational resources is provided. The method includes receiving a user-defined freshness criterion and a distributed query from a user. The user-defined data freshness criterion is based on the version of the distributed query results desired by the user. An integrated cost model is formulated to optimize the execution of the distributed query. The integrated cost model is based on one or more integrated cost model factors. Thereafter, an objective function is constructed, based on the processing cost for each of the one or more copies of the one or more relations, and a data transmission cost for the transfer of the one or more copies of the one or more relations from a first to a second computational resource. Subsequently, an optimal solution of the objective function is calculated by using one or more heuristic approaches.

Abstract: A method and system for parallel query processing is provided. The method includes estimating a number of sub-queries that may be formed corresponding to an input query. The method further includes fragmenting the input query into a plurality of sub queries by adding one or more filter predicates to the input query without altering the semantics of the input query. Further, processing of the sub queries is scheduled. Thereafter, one or more query execution plans are generated and processed. Following the processing of the query execution plans, the results of the processed sub queries are collated, aggregated and presented in a required format.