On the predictability of large transfer TCP throughput
Computer Networks: The International Journal of Computer and Telecommunications Networking
TCP Prediction for Adaptive Applications
LCN '07 Proceedings of the 32nd IEEE Conference on Local Computer Networks
MWING: A Multiagent System for Web Site Measurements
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Architecture of Multiagent Internet Measurement System MWING Release 2
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
THE EXPERIMENTAL DESIGN FOR DATA MINING TO DISCOVER WEB PERFORMANCE ISSUES IN A WIDE AREA NETWORK
Cybernetics and Systems - APPLIED INTELLIGENCE AND KNOWLEDGE BASED SYSTEMS: CHALLENGES, APPROACHES, AND CASE STUDIES - PART 2
A machine learning approach to TCP throughput prediction
IEEE/ACM Transactions on Networking (TON)
A Data Throughput Prediction and Optimization Service for Widely Distributed Many-Task Computing
IEEE Transactions on Parallel and Distributed Systems
CLIENT-PERCEIVED WEB PERFORMANCE KNOWLEDGE DISCOVERY THROUGH TURNING BANDS METHOD
Cybernetics and Systems - LEARNING, SCHEDULING, RESOURCE OPTIMIZATION, AND EVOLUTION IN SMART ARTIFICIAL SYSTEMS: CHALLENGES AND SUPPORT
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This work presents Turning Bands simulation method (TB) as a geostatistical approach for making spatio-temporal forecasts of Web performance. The most significant advantage of this method is requirement for the minimum amount of input data to make accurate and detailed forecasts. For this paper, necessary data were obtained with the Multiagent Internet Measuring System (MWING); however, only those measurements of European servers that were collected by the MWING's agent in Gdansk were used. The aforementioned agent performed measurements (i.e. download times of the same given resource from the evaluated servers) three times every day, between 07.02.2009 and 28.02.2009, at 06:00 am, 12:00 pm and 06.00 pm. First, the preliminary and structural analyses of the measurement data were performed. Then short-term spatio-temporal forecasts of total downloading times for a four days ahead were made. And finally, thorough analysis of the obtained results was carried out and further research directions were proposed.