QOS Prediction in Ubiquitous Environments : an MLR based service selection approach

Services providers and requestors, in ubiquitous environments, are characterized by the heterogeneity of their devices and the constant changing of the network bandwidth. These characteristics pose a big challenge to service selection methods. This paper describes a new service selection method based on Multiple Linear Regression (MLR) techniques. In order to ensure the selection of the best service in terms of provider's quality of service (QoS), an MLR model is defined estimating especially Response time, returned from service provider. Response time is mainly influenced by three independent variables : bandwidth, processor speed and memory. We validate our model by testing five different types of devices (provider side) in five different types of network (i.e. different values for bandwidth). The results show that 97.24% of the variation in the response time can be explained by our model.