Adaptive Timeout Discovery Using the Network Weather Service
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Predicting Sporadic Grid Data Transfers
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
MSS '01 Proceedings of the Eighteenth IEEE Symposium on Mass Storage Systems and Technologies
Using Regression Techniques to Predict Large Data Transfers
International Journal of High Performance Computing Applications
Comparison of End-to-End Bandwidth Measurement Tools on the 10GigE TeraGrid Backbone
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
Comparison of public end-to-end bandwidth estimation tools on high-speed links
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
Establishment and traffic measurement of overlay multicast testbed in KOREN, THaiREN and TEIN2
Mobility '09 Proceedings of the 6th International Conference on Mobile Technology, Application & Systems
An efficient and loss tolerant method for measuring available bandwidth
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Network Service Description and Discovery for High-Performance Ubiquitous and Pervasive Grids
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Bandwidth variability prediction with rolling interval least squares (RILS)
Proceedings of the 50th Annual Southeast Regional Conference
StorkCloud: data transfer scheduling and optimization as a service
Proceedings of the 4th ACM workshop on Scientific cloud computing
Modeling throughput sampling size for a cloud-hosted data scheduling and optimization service
Future Generation Computer Systems
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Network performance measurement and prediction is one of the most prominent and indispensable components in distributed computing environments. The selection of the most advantageous network measurement tool or system for specific needs can be very time consuming and may require detailed experimental analysis. The multi-dimensional aspects and properties of such systems or tools should be considered in parallel. In this paper, we take two of the most widely used and accepted network measurement tools as a case study: Iperf and network weather service. We compare these two prediction tools by listing the pros and cons based on accuracy, overhead, intrusiveness, system requirements, capabilities, reliability, scalability and response time. We present different methodologies used to measure their performance in previous experiments and run experiments for comparing them to actual FTP, GridFTP and SCP transfers based on different parameters.