A Review Paper on Query Optimization for Crowdsourcing Systems
Rohini Pingle, R. H. Sapat, Rucha Samant · 2015
Optimization of the query is the biggest problem now days for crowdsourcing system. Crowdsourcing is source for the experts to solve the problem and freely sharing the answer with everyone also hiding the complexities and to relief the user from burden of dealing with the crowd. The user has to submit an SQL query and the system takes the responsible for compiling the query, generating the execution plan and evaluating in the crowdsourcing market. The relational database systems, query optimization is providing query interfaces which are important for crowdsourcing. The propose system, a cost-based query optimization approach for crowdsourcing systems. The cost and latency consider in query optimization objective for proposed system and generates query plans that give a good balance between the cost and latency. The first stage develops efficient algorithms for optimizing Selection queries, join queries, and complex selection-join queries and the second stage validate our approach through extensive experiments by simulation as well as with the real crowd.