- Tytuł:
- Fuzzy multi agent system for automatic classification and negotiation of QOS in cloud computing
- Autorzy:
-
Bakraouy, Zineb
Abbass, Wissam
Baina, Amine
Bellafkih, Mostafa - Powiązania:
- https://bibliotekanauki.pl/articles/1837385.pdf
- Data publikacji:
- 2020
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
MAS
SLA
negotiation
QOS
availability
web services
service broker
classification
fuzzy logic
inference system
fuzzy inference system - Opis:
- The use of Multi Agents Systems (MAS), Cloud Computing (CC) and Fuzzy Inference System (FIS) in e-commerce has increased in recent years. The purpose of these systems is to enable users of electronic markets to make transactions in the best conditions and to help them in their decisions. The design and implementation is often characterized by the constant manipulation of information, many of which are imperfect. The use of the multi-agent paradigm for the realization of these systems implies the need to integrate mechanisms that take into account the processing of fuzzy information. This makes it necessary to design multi-agent systems (MAS) with fuzzy characteristics. For the modeling and realization of this system, we chose to use the FMAS model. This paper deals with the presentation of the use of the Fuzzy MAS model for the development of a management and decision support application in a virtual market with high availability. After the presentation of the system to be realized in the first section, we describe in the second section the application of the model FMAS for the design and the realization of this system. We then specify the JADE implementation platform and how the fuzzy agents of our model (Expert, Choice and Query) can be implemented using this platform.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 3; 56-64
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł