TY - GEN
T1 - Employing relevance feedback to embed content and service importance into the selection process of composite cloud services
AU - Kyriazis, Dimosthenis
AU - Doulamis, Nikolaos
AU - Kousiouris, George
AU - Menychtas, Andreas
AU - Themistocleous, Marinos
AU - Vescoukis, Vassilios C.
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - Cloud computing is essentially changing the way services are built, provided and consumed. As a paradigm building on a set of combined technologies, it enables service provision through the commoditization of IT assets and on-demand usage patterns. In the emerging era of the Future Internet, clouds aim at facilitating applications that move away from the monolithic approach into an Internet-scale one, thus exploiting information, individual offerings and infrastructures as composite services. In this paper we present an approach for selecting the services (that comprise the composite ones) in order to meet the endto- end Quality of Service (QoS) requirements. The approach is enhanced with a relevance feedback mechanism that provides additional information with respect to the importance of the content and the service. The latter is performed in an automated way, allowing for user preferences to be considered during the service selection process. We also demonstrate the operation of the implemented approach and evaluate its effectiveness using a real-world scenario, based on a computer vision application.
AB - Cloud computing is essentially changing the way services are built, provided and consumed. As a paradigm building on a set of combined technologies, it enables service provision through the commoditization of IT assets and on-demand usage patterns. In the emerging era of the Future Internet, clouds aim at facilitating applications that move away from the monolithic approach into an Internet-scale one, thus exploiting information, individual offerings and infrastructures as composite services. In this paper we present an approach for selecting the services (that comprise the composite ones) in order to meet the endto- end Quality of Service (QoS) requirements. The approach is enhanced with a relevance feedback mechanism that provides additional information with respect to the importance of the content and the service. The latter is performed in an automated way, allowing for user preferences to be considered during the service selection process. We also demonstrate the operation of the implemented approach and evaluate its effectiveness using a real-world scenario, based on a computer vision application.
KW - Cloud computing
KW - Composite services
KW - Quality of service
KW - Relevance feedback
UR - https://www.scopus.com/pages/publications/84979085839
U2 - 10.1007/978-3-319-43177-2_7
DO - 10.1007/978-3-319-43177-2_7
M3 - Conference contribution
AN - SCOPUS:84979085839
SN - 9783319431765
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 98
EP - 114
BT - Economics of Grids, Clouds, Systems, and Services - 12th International Conference, GECON 2015, Revised Selected Papers
A2 - Altmann, Jörn
A2 - Silaghi, Gheorghe Cosmin
A2 - Rana, Omer F.
PB - Springer Verlag
T2 - 12th International Conference on Economics of Grids, Clouds, Systems and Services, GECON 2015
Y2 - 15 September 2015 through 17 September 2015
ER -