Name
Abstract | ||
|---|---|---|
Quality of Service (QoS) guarantees are commonly defined in Service Level Agreements (SLAs) between provider and consumer of services. Such guarantees are often violated due to various reasons. QoS violation requires a service adaptation and penalties have to be associated when promises are not met. However, there is a lack of research in defining and assessing penalties according to the degree of violation. In this paper, we provide an approach based on fuzzy logic for modelling and measuring penalties with respect to the extent of QoS violation. Penalties are assigned by means of fuzzy rules. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-25535-9_43 | ICSOC |
Keywords | Field | DocType |
various reason,fuzzy logic,qos violation,service level agreements,service adaptation,penalty-based approach,fuzzy rule,qos dissatisfaction,qos | Data mining,Service level,Service adaptation,Computer science,Service-level agreement,Fuzzy logic,Quality of service | Conference |
Volume | ISSN | Citations |
7084 | 0302-9743 | 4 |
PageRank | References | Authors |
0.37 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Barbara Pernici | 1 | 3401 | 488.75 |
| Seyed Hossein Siadat | 2 | 48 | 4.53 |
| Salima Benbernou | 3 | 324 | 32.43 |
| Mourad Ouziri | 4 | 26 | 9.81 |