Query Processing in the Crowdsourcing Environment

Abstract

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. Query Processing is the scientific art of obtaining the desired information from a database system in a predictable and reliable fashion. Database systems must be able to respond to requests for information from the user i.e. process queries. In large database systems, which may be running on unpredictable and volatile environments, it is difficult to produce efficient database query plans based on information available solely at compile time. Getting the database results in a timely manner deals with the technique of Query Optimization. Efficient processing of queries is an important requirement in many interactive environments that involve massive amounts of data. Efficient query processing in domains such as the Web, multimedia search, and distributed systems has shown a great impact on performance. This paper will introduce the basic concepts of query processing and query optimization in the relational database. We also describe and difference query processing techniques in relational databases.