ACM Computing Surveys (CSUR)
Encapsulation of parallelism in the Volcano query processing system
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Query evaluation techniques for large databases
ACM Computing Surveys (CSUR)
ACM Computing Surveys (CSUR)
Query processing in a system for distributed databases (SDD-1)
ACM Transactions on Database Systems (TODS)
Iterative dynamic programming: a new class of query optimization algorithms
ACM Transactions on Database Systems (TODS)
Access path selection in a relational database management system
SIGMOD '79 Proceedings of the 1979 ACM SIGMOD international conference on Management of data
A Hash Partition Strategy for Distributed Query Processing
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
A New Heuristic for Optimizing Large Queries
DEXA '98 Proceedings of the 9th International Conference on Database and Expert Systems Applications
Exploring the tradeoff between performance and data freshness in database-driven Web servers
The VLDB Journal — The International Journal on Very Large Data Bases
A novel approach to resource scheduling for parallel query processing on computational grids
Distributed and Parallel Databases
Optimization Algorithms for Distributed Queries
IEEE Transactions on Software Engineering
Active Integration of Databases in Grids for Scalable Distributed Query Processing
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
A development environment for query optimizers
Proceedings of the Third International Workshop on Testing Database Systems
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The disparate and geographically distributed data sources in an enterprise can be integrated using distributed computing technologies such as data grids. The real challenge involved in such data integration efforts is in the design and development of the distributed query processing engine that lie beneath such integrated systems. In the current literature, distributed query processing and optimization is carried out in three distinct phases namely, (1) creation of single node plan, (2) generation of parallel plan, and (3) optimal site selection for plan execution. As considering the three phases in isolation leads to sub-optimal plans, the paper proposes a new distributed query optimization model that integrates all the three phases of the query optimization. This paper also presents different heuristic approaches for solving the proposed integrated distributed query processing problem. Furthermore, the presented system is integrated with a data grid solution and several real-time experiments are conducted to demonstrate its usefulness.