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Adaptive Grid Services

Adaptive Grid Services

Mark Anderson, Laeeq Ahmed, Mandeep Joshi, Sujan Kansakar
Copyright: © 2012 |Pages: 23
ISBN13: 9781613501139|ISBN10: 1613501137|EISBN13: 9781613501146
DOI: 10.4018/978-1-61350-113-9.ch013
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MLA

Anderson, Mark, et al. "Adaptive Grid Services." Computational and Data Grids: Principles, Applications and Design, edited by Nikolaos Preve, IGI Global, 2012, pp. 291-313. https://doi.org/10.4018/978-1-61350-113-9.ch013

APA

Anderson, M., Ahmed, L., Joshi, M., & Kansakar, S. (2012). Adaptive Grid Services. In N. Preve (Ed.), Computational and Data Grids: Principles, Applications and Design (pp. 291-313). IGI Global. https://doi.org/10.4018/978-1-61350-113-9.ch013

Chicago

Anderson, Mark, et al. "Adaptive Grid Services." In Computational and Data Grids: Principles, Applications and Design, edited by Nikolaos Preve, 291-313. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-113-9.ch013

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Abstract

The chapter aims to explore the implementation of grid services and defines a theoretical approach to a development framework which would enable the creation of agile services. At present, services are written with specific goals in mind which may support the majority of users of the service. However if the requirements of the users change, or there exist users who require a slightly alternative form of the service, then either multiple services must be orchestrated to provide the required functionality to the users, or a new service must be implemented to address any gaps in functionality. An alternative solution is presented in the chapter which adopts aspect-oriented programming as a core component in the framework. By utilizing this paradigm, it becomes possible to develop services that are agile; capable of combining the capabilities required to support requests being submitted to the grid node dependent upon individual needs. To facilitate this mechanism, a pool of service components must be created from which the weaving component of the framework can select, via semantic discovery, the most appropriate.

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