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A Calibration Mechanism Identifying the Optimization Technique of a Multidatabase Participant (1996)
| Content Provider | CiteSeerX |
|---|---|
| Author | Spiliopoulou, Myra |
| Description | A multidatabase optimizer draws an abstract plan for a query, the fragments of which are optimized by the underlying autonomous databases. In order to construct a plan that can be optimized coherently, the multidatabase optimizer must know the principles of the local optimizers. We propose a methodology for the identification of the techniques used for join ordering: a suite of test queries is issued against the local database, the processing time is measured and used to draw conclusions on the characteristics of the query execution plan. We establish a taxonomy of optimizers and apply our methodology to identify the category to which an unknown optimizer belongs. Keywords: Multidatabase query optimization, optimizer calibration, non-conformant databases 1 Introduction A multidatabase system provides an integrated environment for data retrieval from multiple databases. A challenging problem in this area is query optimization in the absence of adequate information on the characteristi... |
| File Format | |
| Language | English |
| Publisher Date | 1996-01-01 |
| Publisher Institution | In Proc. of the Conf. on Parallel and Distributed Computing Systems (PDCS |
| Access Restriction | Open |
| Subject Keyword | Query Optimization Optimization Technique Multiple Database Data Retrieval Local Optimizers Optimizer Calibration Autonomous Database Query Execution Plan Local Database Abstract Plan Multidatabase Participant Test Query Integrated Environment Multidatabase Query Optimization Unknown Optimizer Belongs Introduction Multidatabase System Join Ordering Non-conformant Database Multidatabase Optimizer Adequate Information Calibration Mechanism Processing Time |
| Content Type | Text |
| Resource Type | Article |