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DOI will be assigned to every published paper at no additional charge. 📢 Call for Papers — Volume 13, Issue 10 (October 2026) | Submission Deadline: October 26, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-1827

Crowd Op: A Query Optimization Technique

Author(s):Sanjay Agrawal, Vishlesha Shinde, Reshma Gaikwad, Mahesh Deshmukh
Institution:Marathwada Mitramandal Institute Of Technology. Lohagaon Pune
Published In:Vol. 3, Issue 11 — November 2016
Page No.:310-312
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

In query optimization problem in crowd sourcing system. Asserting crowd sourcing is designed to get thequick output with burden on user. The user will only give the SQL query for output and the system takes the responsibilityof compiling the task. A given query have many other ways to execute and the difference in crowd sourcing cost betweenthe best and the worth plan of magnitude. Therefore, as in DBMS, query optimization is important to crowd source forasserting query Optimization interface. CROWD OP, consider both cost and latency in the query optimization objectiveand generate a good balance between the cost and latency. An efficient algorithm in the CROWD OP for optimizing isselection, join and complex selection and join queries with the top-k algorithm.

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🕮 How to Cite

Sanjay Agrawal, Vishlesha Shinde, Reshma Gaikwad, Mahesh Deshmukh, “Crowd Op: A Query Optimization Technique”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 11, pp. 310-312, November 2016.

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Vol. 13 | Issue 10
October-2026