Time Series Forecasting of Web Performance Data Monitored by MWING Multiagent Distributed System

摘要

This paper presents analysis of Web performance data collected by MWING active Internet measurement system. MWING collects traces of HTTP transactions' performance and allows for estimation of important quality of Web user's experience metrics such as resource download time or goodput (application level throughput). We compare data collected by distributed measurement agents and analyze the responsiveness of common Web servers for different clients. We examine two time series prediction techniques: ARIMA models and pattern matching predictor.