Qos monitoring for web services by Time Series Forecasting

In Service Oriented Architecture, Quality of Service (Qos) represents an important issue which is often considered when selecting and composing services. For receiving up-to-date information, non-functional properties can be continuously monitored using current methods. Because of the occurrence of monitoring at every time of service calling, the current methods imposes some overhead on the SOA. The present paper attempts to decrease the overheads of Qos monitoring in SOA. We believe, suggested methods is decreasing overhead by using Time Series Forecasting (TSF) for Qos monitoring. By applying Qos monitoring by TSF, some period of time measuring of quality, isn´t required, then monitoring cost is decreasing and consequently SOA overhead. For TSF, Neural Network (NN) has been applied. Forecasted Qos values proves reasonably accurate thought the suggested method. Through this method, Qos monitoring are well optimized and find more efficiency.