Time series: theory and methods
Time series: theory and methods
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Modelling extremal events: for insurance and finance
Modelling extremal events: for insurance and finance
End-to-end available bandwidth: measurement methodology, dynamics, and relation with TCP throughput
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
A measurement study of available bandwidth estimation tools
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Evaluation and characterization of available bandwidth probing techniques
IEEE Journal on Selected Areas in Communications
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Estimating the reliability of an end–to–end network path is critically important for applications that support remote real–time task execution. Available bandwidth, which is defined as a minimum spare capacity of links constituting a network path, is an important QoS characteristic of the path. In this work we demonstrate a new approach to modelling available bandwidth behavior from a time-series analysis prospective. In particular, we introduce a notion of crossing probability–the probability that available bandwidth drops below the QoS critical threshold for the period of time required for a real-time task execution.We estimate “crossing probability” by an application of the ARCH2 (AutoRegressive Conditional Heteroscedasticity) model to available bandwidth behavior. We estimate model coefficients β0 and β1 to quickly output “crossing probability” for arbitrary values of threshold and length of the real-time task. The model was evaluated on real bandwidth measurements across multiple network paths.