|Andrikopoulos, Vasilios; Bitsaki, Marina; Gómez Sáez, Santiago; Karastoyanova, Dimka; Nikolaou, Christos; Psycharaki, Alina: Utility-based Decision Making in Collective Adaptive Systems. |
In: Proceedings of the Fourth International Conference on Cloud Computing and Service Science (CLOSER'14).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 308-314, englisch.
SciTePress, 3. April 2014.
Artikel in Tagungsband (Konferenz-Beitrag).
|CR-Klassif.||D.2.0 (Software Engineering General)|
D.2.11 (Software Engineering Software Architectures)
D.2.12 (Software Engineering Interoperability)
Large-scale systems comprising of multiple heterogeneous entities are directly influenced by the interactions of their participating entities. Such entities, both physical and virtual, attempt to satisfy their objectives by dynamically collaborating with each other, and thus forming collective adaptive systems. These systems are subject to the dynamicity of the entities' objectives, and to changes to the environment. In this work we focus on the latter, i.e. on providing the means for entities in such systems to model, monitor and evaluate their perceived utility by participating in the system. This allows for them to make informed decisions about their interactions with other entities in the system. For this purpose we propose a utility-based approach for decision making, as well as an architecture that allows for the support of this approach.
|Kontakt||Vasilios Andrikopoulos: email@example.com |
|Abteilung(en)||Universität Stuttgart, Institut für Architektur von Anwendungssystemen|
|Eingabedatum||6. Februar 2014|