On the self-similar nature of Ethernet traffic
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
An adaptive virtual path allocation policy for broadband networks
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 1
Dynamic bandwidth allocation policies
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Generalized Cost-Function-Based Forecasting for Periodically Measured Nonstationary Traffic
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Support vector regression for link load prediction
Computer Networks: The International Journal of Computer and Telecommunications Networking
GARCH model-based large-scale IP traffic matrix estimation
IEEE Communications Letters
Dynamic bandwidth provisioning using ARIMA-based traffic forecasting for Mobile WiMAX
Computer Communications
MPLS automatic bandwidth allocation via adaptive hysteresis
Computer Networks: The International Journal of Computer and Telecommunications Networking
Optical Switching and Networking
Resource utilization prediction: a proposal for information technology research
Proceedings of the 1st Annual conference on Research in information technology
Resource utilization prediction: long term network web service traffic
Proceedings of the 2nd annual conference on Research in information technology
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Network providers are often interested in providing dynamically provisioned bandwidth to customers based on periodically measured nonstationary traffic while meeting service level agreements (SLAs). In this paper, we propose a dynamic bandwidth provisioning framework for such a situation. In order to have a good sense of nonstationary periodically measured traffic data, measurements were first collected over a period of three weeks excluding the weekends in three different months from an Internet access link. To characterize the traffic data rate dynamics of these data sets, we develop a seasonal AutoRegressive Conditional Heteroskedasticity (ARCH) based model with the innovation process (disturbances) generalized to the class of heavy-tailed distributions. We observed a strong empirical evidence for the proposed model. Based on the ARCH-model, we present a probability-hop forecasting algorithm, an augmented forecast mechanism using the confidence-bounds of the mean forecast value from the conditional forecast distribution. For bandwidth estimation, we present different bandwidth provisioning schemes that allocate or deallocate the bandwidth based on the traffic forecast generated by our forecasting algorithm. These provisioning schemes are developed to allow trade off between the underprovisioning and the utilization, while addressing the overhead cost of updating bandwidth. Based on extensive studies with three different data sets, we have found that our approach provides a robust dynamic bandwidth provisioning framework for real-world periodically measured nonstationary traffic.