Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services |
| Herausgeber (Verlag) | Institution of Electrical Engineers (IEE) |
| Seiten | 225-232 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 978-1-5386-7250-1 |
| ISBN (Print) | 9781538672501 |
| Publikationsstatus | Veröffentlicht - 2018 |
| Extern publiziert | Ja |
| Veranstaltung | 2018 IEEE International Conference on Services Computing (SCC) - San Francisco, USA / Vereinigte Staaten Dauer: 2 Juli 2018 → 7 Juli 2018 |
Abstract
In spite of the enormous attention that automated service composition has attracted in the recent past, and the large number of approaches that has been developed, these approaches are rarely put into practice and deployed for real-world problems. In light of the increasing demand for an automated construction of services in various domains, this is a somewhat surprising observation. In fact, in domains such as automated machine learning and cloud gaming, both users and providers of software are highly interested in running services that are created in an on-The-fly manner. This paper presents PROSECO, a framework that aims at closing this gap by creating running services from simple queries specifiable by end-users relying on predefined prototypes. To show the applicability of PROSECO, we instantiated it for three highly heterogeneous domains: Automated machine learning, cloud gaming, and information integration.
ASJC Scopus Sachgebiete
- Entscheidungswissenschaften (insg.)
- Informationssysteme und -management
- Informatik (insg.)
- Hardware und Architektur
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Informatik (insg.)
- Angewandte Informatik
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Proceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services. Institution of Electrical Engineers (IEE), 2018. S. 225-232 8456422.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - On-the-Fly Service Construction with Prototypes
AU - Mohr, Felix
AU - Wever, Marcel
AU - Hüllermeier, Eyke
N1 - Publisher Copyright: © 2018 IEEE.
PY - 2018
Y1 - 2018
N2 - In spite of the enormous attention that automated service composition has attracted in the recent past, and the large number of approaches that has been developed, these approaches are rarely put into practice and deployed for real-world problems. In light of the increasing demand for an automated construction of services in various domains, this is a somewhat surprising observation. In fact, in domains such as automated machine learning and cloud gaming, both users and providers of software are highly interested in running services that are created in an on-The-fly manner. This paper presents PROSECO, a framework that aims at closing this gap by creating running services from simple queries specifiable by end-users relying on predefined prototypes. To show the applicability of PROSECO, we instantiated it for three highly heterogeneous domains: Automated machine learning, cloud gaming, and information integration.
AB - In spite of the enormous attention that automated service composition has attracted in the recent past, and the large number of approaches that has been developed, these approaches are rarely put into practice and deployed for real-world problems. In light of the increasing demand for an automated construction of services in various domains, this is a somewhat surprising observation. In fact, in domains such as automated machine learning and cloud gaming, both users and providers of software are highly interested in running services that are created in an on-The-fly manner. This paper presents PROSECO, a framework that aims at closing this gap by creating running services from simple queries specifiable by end-users relying on predefined prototypes. To show the applicability of PROSECO, we instantiated it for three highly heterogeneous domains: Automated machine learning, cloud gaming, and information integration.
KW - Service Composition
KW - Service Construction
KW - Templates
UR - http://www.scopus.com/inward/record.url?scp=85054038221&partnerID=8YFLogxK
U2 - 10.1109/SCC.2018.00036
DO - 10.1109/SCC.2018.00036
M3 - Conference contribution
SN - 9781538672501
SP - 225
EP - 232
BT - Proceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services
PB - Institution of Electrical Engineers (IEE)
T2 - 2018 IEEE International Conference on Services Computing (SCC)
Y2 - 2 July 2018 through 7 July 2018
ER -