Review  Paper for Query Optimization for Declarative Crowdsourcing System

Review Paper for Query Optimization for Declarative Crowdsourcing System
Author(s):
Nilesh Nivrutti Thorat, A. B. Rajmane
Keywords:
Crowdsourcing, query optimization, human intelligence tasks (HIT), Monetary cost.
Abstract
Main goal of declarative crowdsourcing system is to keep out of sight the complexities of the system. In crowdsourcing system data is placed at different web or data servers therefore optimization of query has major challenge. To address some queries we need to add more information to that queries that machines cannot solve. SQL query is being submitted by user which is being optimized on cost constraint depending on which execution plan is created, output is produced. The proposed system can be used for answering declarative queries posed over stored relational data together with data obtained on demand from the crowd. The proposed system is based on cost-based query optimization for crowdsourcing system, which also consider the latency that generates best possible and suitable query execution plan. It supports three types of query evaluation: select, join, complex-join, having three algorithm for each operation respectively.
Article Details
Unique Paper ID: 143797 Publication Volume & Issue: Volume 3, Issue 2 Page(s): 32 - 36
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org