2021
DOI: 10.1109/access.2021.3049544
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QIACO: A Quantum Dynamic Cost Ant System for Query Optimization in Distributed Database

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Cited by 9 publications
(6 citation statements)
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“…However, the real-world experiments and theoretical analysis are missing in the paper. Another similar work is done by Mohsin et al [31].…”
Section: Related Workmentioning
confidence: 74%
“…However, the real-world experiments and theoretical analysis are missing in the paper. Another similar work is done by Mohsin et al [31].…”
Section: Related Workmentioning
confidence: 74%
“…A database tuning tool relies on host hardware information and relations statistics (called metadata) to find the best s that optimize an SQL query. 13 In Figure 2, we illustrate the interaction modes between the DBA and the tuning database systems. First, the DBA can use self-tuning (also "auto-tuning") DBMSs like IndexStore, Parinda and so forth these auto-tuning solutions take workload information and produce a design by iteratively picks of optimizer invocation (a.c.k what-if physical design by making optimizer calls 14,15 ), in this case user is keep out loop of the optimizing process and advisors acting as black boxes (left Figure 2).…”
Section: Motivating Example and Work Positioningmentioning
confidence: 99%
“…Let's consider a scenario where a DBA wants to tune database performance in order to optimize a given SQL query. A database tuning tool relies on host hardware information and relations statistics ( called metadata ) to find the best 𝒫𝒮s that optimize an SQL query 13 . In Figure 2, we illustrate the interaction modes between the DBA and the tuning database systems.…”
Section: Introductionmentioning
confidence: 99%
“…Quantum set of rules underground malicious program kingdom calculation, as one of the cream methods of probabilistic assessments, is used to furthermore inspire the request to sign up for fee with inside the dispersed instructive listing version [13]. The restrict of quantum enrolling to isolate activates covers the query of massive pursuit space, which enables in selecting the maximum perfect manner and for this reason similarly cultivates the drowsy blend pace and takes the important steps now no longer to fall into a close-by great.…”
Section: Quantum Evolutionary Algorithmmentioning
confidence: 99%