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Using Grid Technologies for Web-Enabling Legacy Systems

Authors: Thierry Bodhuin; Maria Tortorella;

Using Grid Technologies for Web-Enabling Legacy Systems

Abstract

The adoption of the Internet technologies favors the diffusion of Web and grid-based applications. However, the development of new applications exploiting the modern interfaces and distribution channels have to face the problems connected with the integration of existing software systems. This aspect often requires the migration of legacy systems toward the Web technologies, as they are very important for the business they support and cannot be simply discarded. In fact, they encapsulate a great deal of knowledge and expertise about the application domain. Many migration strategies have been proposed in the literature. The introduction of dynamic activation and discovery of services is rarely considered in the proposed approaches, even if these aspects can be considered as important evolution factors for the future of the legacy systems. With this in mind, this paper extends an approach, already proposed by the authors for migrating to the Web legacy software systems with character-based user interface, with grid technologies.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Top 10%
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