Optimizing DaaS Web Service based Data Mashups

Mahmoud Barhamgi 1 Chirine Ghedira 1 Djamal Benslimane 1 Salah-Eddine Tbahriti 1 Michael Mrissa 1
1 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : 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.
Document type :
Conference papers
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01354417
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Thursday, August 18, 2016 - 7:26:38 PM
Last modification on : Friday, April 26, 2019 - 11:16:01 PM

Identifiers

Citation

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⟩

Share

Metrics

Record views

271