A middleware approach for combining heterogeneous data sources - integration of generic query and predefined function access

Hergula, Klaudia; Härder, Theo

doi:10.1109/wise.2000.882371

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Due to space limitations, we focus on the middle tier, the so-called integration server, which consists of two key components: an FDBS achieving the data integration and a WfMS which realizes a kind of function integration by invoking and controlling the access to predefined functions. In our terms, function integration means to provide federated functions combining functionality of one or more local functions [6].…”

Section: Overall Architecturementioning

confidence: 99%

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How foreign function integration conquers heterogeneous query processing

Hergula

Härder

2001

Proceedings of the Tenth International Conference on Information and Knowledge Management

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With the emergence of application systems which encapsulate databases and related application components, pure data integration using, for example, a federated database system is not possible anymore. Instead, access via predefined functions is the only way to get data from an application system. As a result, retrieval of such heterogeneous and encapsulated data sources needs the combination of generic query as well as predefined function access. In this paper, we present a middleware approach supporting such a novel and extended kind of integration. Starting with the overall architecture, we explain the functionality and cooperation of its core components: a federated database system and a workflow management system connected via a wrapper. Afterwards, we concentrate on essential aspects of query processing across these heterogeneous components focusing on the impact of the functions included. We discuss the operations the wrapper should provide in order to extend the workflow system's native functionality. In addition to selection and projection, these operations could include aggregation and the support of subqueries. Moreover, we point out modifications to the traditional cost model needed to consider the cost estimates for the function calls as well.

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Section: Overall Architecturementioning

confidence: 99%

“…As a key concept of our approach, we use a WfIvlS as the engine processing such a graph-based mapping [6].…”

Section: Figure 1 Integration Architecturementioning

confidence: 99%