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Communication Dans Un Congrès Année : 2011

Optimizing DaaS Web Service based Data Mashups

Mahmoud Barhamgi
Chirine Ghedira
Djamal Benslimane
Michael Mrissa

Résumé

Data Mashup is a special class of mashup application that combines information on the fly from multiple data sources to respond to transient business needs. In this paper, we propose two optimization algorithms to optimize Data Mashups. The first allows for selecting the minimum number of services required in the data mashup. The second exploits the services’ constraints on inputs and outputs to filter out superfluous calls to component services in the data mashup. These two algorithms are evaluated and tested in the healthcare application domain, and the reported results are very promising.
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Dates et versions

hal-01354417 , version 1 (18-08-2016)

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Mahmoud Barhamgi, Chirine Ghedira, Djamal Benslimane, Salah-Eddine Tbahriti, Michael Mrissa. Optimizing DaaS Web Service based Data Mashups. Services Computing Conference (SCC), Jul 2011, Washington, DC, United States. pp.464-471, ⟨10.1109/SCC.2011.72⟩. ⟨hal-01354417⟩
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