Pruning based Service Selection Approach under QoS and Temporal Constraints
| Autor: | Ikbel Guidara, Said Tazi, Tarak Chaari, Mohamed Jmaiel, Nawal Guermouche |
|---|---|
| Přispěvatelé: | Équipe Services et Architectures pour Réseaux Avancés (LAAS-SARA), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Unité de Recherche en développement et contrôle d'applications distribuées (REDCAD), École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS), ReDCAD, École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS)-École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS), European Project: 285132,EC:FP7:ICT,FP7-2011-NMP-ICT-FoF,IMAGINE(2011), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Service (business)
Business process Computer science Quality of service Distributed computing Service selection Time-dependent QoS Mobile QoS [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE] computer.software_genre Pruning Multi-objective optimization Data mining Pruning (decision trees) Web service computer Selection algorithm Selection (genetic algorithm) |
| Zdroj: | 21th IEEE International Conference on Web Services (ICWS 2014) 21th IEEE International Conference on Web Services (ICWS 2014), Jun 2014, Alaska, United States. 8p ICWS |
| Popis: | Dynamic selection of the best services to execute abstract tasks of business processes is very important. Indeed, it enables to cope with complex user's requirements that require the collaboration of several more elementary services. However, with the increasing amount of candidate services of each business task that offer different QoS (Quality of Service) values, the selection of the optimal combination of services becomes a very hard task. This problem is more complex when dealing with temporal properties of business processes associated with time-dependent QoS parameters that can change according to the execution time. Unlike static QoS which have been deeply studied in the existing service selection approaches, time-dependent QoS are insufficiently taken into consideration. In this paper, we are interested in the problem of service selection to satisfy a given business process while considering temporal properties associated to time-dependent QoS. The selection approach that we propose relies on a new service pruning approach that is applied prior to our selection algorithm to reduce the number of candidate services while guaranteeing that the optimal solution still be found. |
| Databáze: | OpenAIRE |
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