TY - GEN
T1 - QoS-based reputation feedback fusion under unknown correlation
AU - Mehdi, Mohamad
AU - Bouguila, Nizar
AU - Bentahar, Jamal
PY - 2014
Y1 - 2014
N2 - Due to the flood of web services that offer similar functionalities, service consumers are left with a challenging selection decision. A popular approach to assist them with the service selection task is based on the reputation of web services. However, the propagation of reputation feedback in an open and distributed system of web services yield correlated reputation estimates. The existing web service reputation literature still lacks a system that handles the aggregation of reputation feedback under unknown correlation. To fill this gap, we employ two data fusion algorithms, the covariance intersection and ellipsoidal intersection, to aggregate QoS-based reputation feedback. Our experimental results endorse the advantageous capability and scalability of the proposed methods in aggregating reputation estimates, and show an enhanced performance when compared with the Kalman filter method.
AB - Due to the flood of web services that offer similar functionalities, service consumers are left with a challenging selection decision. A popular approach to assist them with the service selection task is based on the reputation of web services. However, the propagation of reputation feedback in an open and distributed system of web services yield correlated reputation estimates. The existing web service reputation literature still lacks a system that handles the aggregation of reputation feedback under unknown correlation. To fill this gap, we employ two data fusion algorithms, the covariance intersection and ellipsoidal intersection, to aggregate QoS-based reputation feedback. Our experimental results endorse the advantageous capability and scalability of the proposed methods in aggregating reputation estimates, and show an enhanced performance when compared with the Kalman filter method.
UR - http://www.scopus.com/inward/record.url?scp=84958535423&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-11298-5_18
DO - 10.1007/978-3-319-11298-5_18
M3 - Conference contribution
AN - SCOPUS:84958535423
SN - 9783319112978
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 172
EP - 181
BT - Adaptive and Intelligent Systems - Third International Conference, ICAIS 2014, Proceedings
PB - Springer Verlag
T2 - 3rd International Conference on Adaptive and Intelligent Systems, ICAIS 2014
Y2 - 8 September 2014 through 10 September 2014
ER -