Handling asynchronous data in assessing QoS over multiple attributes

The ability to assess the quality of a service (QoS) is important to the emerging SOC paradigm. When multiple providers offer functionally identical services in a SOC environment, it is only natural that consumers should ask how their qualities would compare. While various methods have been proposed to help assess QoS using monitored quality data, they do not handle multiple QoS attributes adequately, especially when the qualities of these attributes are monitored asynchronously. In this paper, we proposed a method that takes both accuracy and confidence into account when assessing QoS over multiple attributes, and employs a kNN based technique to deal with asynchronous data. Our experiments show that the new method can give a more accurate QoS assessment over multiple attributes than existing methods do