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ICDE
2010
IEEE
227views Database» more  ICDE 2010»
13 years 11 months ago
Incorporating partitioning and parallel plans into the SCOPE optimizer
— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
Jingren Zhou, Per-Åke Larson, Ronnie Chaiken
VLDB
1995
ACM
132views Database» more  VLDB 1995»
13 years 8 months ago
Coloring Away Communication in Parallel Query Optimization
We address the problem of finding parallel plans for SQL queries using the two-phase approach of join ordering and query rewrite (JOQR) followed by parallelization. We focus on t...
Waqar Hasan, Rajeev Motwani
PVLDB
2008
182views more  PVLDB 2008»
13 years 4 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
VLDB
2004
ACM
118views Database» more  VLDB 2004»
13 years 10 months ago
Green Query Optimization: Taming Query Optimization Overheads through Plan Recycling
PLASTIC [1] is a recently-proposed tool to help query optimizers significantly amortize optimization overheads through a technique of plan recycling. The tool groups similar quer...
Parag Sarda, Jayant R. Haritsa
EDBTW
2006
Springer
13 years 8 months ago
Dynamic Plan Migration for Snapshot-Equivalent Continuous Queries in Data Stream Systems
A data stream management system executes a large number of continuous queries in parallel. As stream characteristics and query workload change over time, the plan initially install...
Jürgen Krämer, Yin Yang, Michael Cammert...