|Bibliography||Andrikopoulos, Vasilios; Bitsaki, Marina; Gómez Sáez, Santiago; Hahn, Michael; Karastoyanova, Dimka; Koutras, Giorgios; Psycharaki, Alina: Evaluating the Effect of Utility-based Decision Making in Collective Adaptive Systems. |
In: Proceedings of the 6th International Conference on Cloud Computing and Service Science (CLOSER 2016).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 1-10, german.
Rome, Italy: SciTePress, April 23, 2016.
Article in Proceedings (Conference Paper).
|CR-Schema||D.2.0 (Software Engineering General)|
D.2.11 (Software Engineering Software Architectures)
D.2.12 (Software Engineering Interoperability)
Utility, defined as the perceived satisfaction with a service, provides the ideal means for decision making on the level of individual entities and collectives participating in a large-scale dynamic system. Previous works have already introduced the concept into the area of collective adaptive systems, and have discussed what is the necessary infrastructure to support the realization of the involved theoretical concepts into actual decision making. In this work we focus on two aspects. First, we provide a concrete utility model for a case study that is part of a larger research project. Second, we incorporate this model into our implementation of the proposed architecture. More importantly, we design and execute an experiment that aims to empirically evaluate the use of utility for decision making by comparing it against simpler decision making mechanisms.
|Contact||Vasilios Andrikopoulos: firstname.lastname@example.org |
|Department(s)||University of Stuttgart, Institute of Architecture of Application Systems|
|Entry date||February 15, 2016|