On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
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)
Fluid models for single buffer systems
Frontiers in queueing
The Hierarchical Hidden Markov Model: Analysis and Applications
Machine Learning
A compound model for TCP connection arrivals for LAN and WAN applications
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Advances in modeling and engineering of Longe-Range dependent traffic
Layered Representations for Human Activity Recognition
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
A hierarchical and multiscale approach to analyze E-business workloads
Performance Evaluation
Enhanced Internet security by a distributed traffic control service based on traffic ownership
Journal of Network and Computer Applications
Review: Application classification using packet size distribution and port association
Journal of Network and Computer Applications
Policy recognition in the abstract hidden Markov model
Journal of Artificial Intelligence Research
Hierarchical hidden Markov models for information extraction
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Markov models of internet traffic and a new hierarchical MMPP model
Computer Communications
Journal of Network and Computer Applications
Journal of Network and Computer Applications
Internet traffic source based on hidden Markov model
NEW2AN'11/ruSMART'11 Proceedings of the 11th international conference and 4th international conference on Smart spaces and next generation wired/wireless networking
A multifractal wavelet model with application to network traffic
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Traffic models in broadband networks
IEEE Communications Magazine
Traffic modeling for telecommunications networks
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
On the use of fractional Brownian motion in the theory of connectionless networks
IEEE Journal on Selected Areas in Communications
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A new structural approach based on hidden Markov model is proposed to describe the hierarchical nature of dynamic process of Web workload. The proposed approach includes two latent Markov chains and one observable process. One of the latent Markov chains is called macro-state process which is used to describe the large-scale trends of Web workload. The remaining latent Markov chain is called sub-state process which is used to describe the small-scale fluctuations that are happening within the duration of a given macro-state. An efficient parameter re-estimation algorithm and a workload simulation algorithm are derived for the proposed discrete model. Experiments based on a real workload of a large-scale campus network are implemented to validate the proposed model.