- Tytuł:
- Adaptive control of cluster-based Web systems using neuro-fuzzy models
- Autorzy:
- Zatwarnicki, K.
- Powiązania:
- https://bibliotekanauki.pl/articles/331413.pdf
- Data publikacji:
- 2012
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
model rozmyto neuronowy
dystrybucja żądań
klaster serwerów
QoWS
neuro fuzzy model
request distribution
web cluster - Opis:
- A significant development of Web technologies requires the application of more and more complex systems and algorithms for maintaining high quality of Web services. Presently, not only simple decision-making tools but also complex adaptation algorithms using artificial intelligence techniques are applied for controlling HTTP request traffic. The paper presents a new LFNRD (Local Fuzzy-Neural Adaptive Request Distribution) algorithm for request distribution in cluster-based Web systems using neuro-fuzzy models of Web servers in the decision-making process. The neuro-fuzzy model which is applied is discussed in detail and a design of the Web switch using the proposed solution is presented. Finally, a testbed is described and the results of a comparative simulation study on the LFNRD algorithm, and other algorithms known from the literature and used in the industry, are presented and discussed.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2012, 22, 2; 365-377
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł