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Continuous and Adaptive Query Optimization
- An IBM CAS project
- This project studies enhancing the capabilities of current query optimization and
execution to cope with the continuously changing computing environments. We investigate
developing query optimization techniques that are highly adaptive to changes in the
computing environment and to lack of accurate and up-to-date statistics. The following
contributions have all been under this project:
- Collecting and Maintaining Just-in-Time Statistics
JITS is a system for proactively collecting query-specific statistics during
query compilation. The system employs a lightweight sensitivity analysis to choose which
statistics to collect by making use of previously collected statistics and database
activity patterns. The collected statistics are materialized and incrementally updated
for later reuse.
- StatAdvisor: Recommending Statistical Views
StatAdvisor is a system for recommending statistical views (statistics on query expressions)
for a given SQL workload. The StatAdvisor addresses the special characteristics of statistical views
with respect to view matching and benefit estimation, and introduces a novel plan-based candidate
enumeration method, and a benefit-based analysis to determine the most useful statistical views.
Patents
- Recommending Statistical Views using Cost/Benefit Metrics
Amr El-Helw, Ihab F. Ilyas, and Calisto Zuzarte
U.S. Patent 7668804, Feb 2010
- Management of Interesting Database Statistics
Amr El-Helw, Ihab F. Ilyas, Wing Lau, Volker Markl and Calisto Zuzarte
U.S. Patent Application 20090018992 A1, Jan. 15, 2009
Publications [DBLP]
- Column-Oriented Query Processing for Row Stores [PDF]
Amr El-Helw, Kenneth Ross, Bishwaranjan Bhattacharjee, Christian Lang, George Mihaila
In proc. DOLAP'11, Glasgow, Scotland, UK, 2011, pp. 67-74
- StatAdvisor: Recommending Statistical Views [PDF]
Amr El-Helw, Ihab F. Ilyas, and Calisto Zuzarte
In proc. VLDB'09, Lyon, France, 2009, pp. 1306-1317
- Collecting and Maintaining Just-in-Time Statistics [PDF]
Amr El-Helw, Ihab F. Ilyas, Wing Lau, Volker Markl and Calisto Zuzarte
In proc. ICDE'07, Istanbul, Turkey, 2007, pp. 516-525
- An Intelligent Database Application for the Semantic Web [PDF]
Amr El-Helw and Hussien. H. Aly
In proc. CSITeA'04, Cairo, Egypt, 2004
- An Intelligent Database Application for the Semantic Web
Amr El-Helw
Masters Thesis, Alexandria University, Egypt, 2004
Last updated: November 29th, 2011
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