TY - GEN
T1 - QoS-aware cloud service composition based on economic models
AU - Ye, Zhen
AU - Bouguettaya, Athman
AU - Zhou, Xiaofang
PY - 2012
Y1 - 2012
N2 - Cloud service composition is usually long term based and economically driven. We consider cloud service composition from a userbased perspective. Specifically, the contributions are shown in three aspects. We propose to use discrete Bayesian Network to represent the economic model of end users. The cloud service composition problem is modeled as an Influence Diagram problem. A novel influence-diagrambased cloud service composition approach is proposed. Analytical and simulational results are presented to show the performance of the proposed composition approach.
AB - Cloud service composition is usually long term based and economically driven. We consider cloud service composition from a userbased perspective. Specifically, the contributions are shown in three aspects. We propose to use discrete Bayesian Network to represent the economic model of end users. The cloud service composition problem is modeled as an Influence Diagram problem. A novel influence-diagrambased cloud service composition approach is proposed. Analytical and simulational results are presented to show the performance of the proposed composition approach.
UR - https://openalex.org/W1764379282
UR - https://www.scopus.com/pages/publications/84868381999
U2 - 10.1007/978-3-642-34321-6_8
DO - 10.1007/978-3-642-34321-6_8
M3 - Conference Paper published in a book
SN - 9783642343209
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 111
EP - 126
BT - Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings
PB - Springer Verlag
T2 - 10th International Conference on Service-Oriented Computing, ICSOC 2012
Y2 - 12 November 2012 through 15 November 2012
ER -