Cloud Analyzer Framework for QoS
- Amrutesh.K
- Mrs.P.Akilandeswari
cloud services, Cloud Analyzer, Quality-of-service, ranking prediction.
Building high Quality cloud applications becomes an immediately required research problem in cloud computing environment. Proper functioning of cloud services is generally described by Quality-of-Service (QoS). To evolve Quality of Services values, real-world usage of services are generally required. At this time, there are few models that allow users to estimate cloud services and rank them based on their Quality of Services values. It intends to framework and a mechanism that measures the quality and provides ranks to cloud services and their users. Cloud Rank framework takes the advantage of past service usage experiences of other users. So it can avoid the time consuming and overpriced real life service invocation. This methodology determines the Quality of Services ranking directly by using personalized QoS ranking prediction approach namely, CloudAnalzer. These algorithms make sure that the active services are correctly ranked. The core purpose is ranking prediction of client side QoS properties, which likely have different values for no similar users of the same cloud service. In this proposed system we estimate all the service applier at the user-side and rank the services based on the observed QoS values.
Volume 3 Issue 2
Pages. 85-88
