Abstract

A database grid can provide a robust distributed environment for accessing and manipulating different database resources. While current challenges focus on managing database resources and ensuring the quality of data integration. This paper describes a service level agreement (SLA) based data integration model, which includes SLA-based resource description model, SLA-based query model, SLA-based matching algorithm and SLA-based evaluation model. The SLAs of a database resource is defined by SLA-based resource description model. The SLA-based query model is defined to normalize the various types of queries. The SLA-based matching algorithm has been proposed to match schemas of resources for each sub-query, and then the quality of database resources is evaluated by SLA-based evaluation model to obtain the final query solutions. Experimental results have shown that SLA-based data integration model can provide more stable database resources and save time cost in data integration applications as well.

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