Web server workload characterization: the search for invariants
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Removal policies in network caches for World-Wide Web documents
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Modeling the performance of HTTP over several transport protocols
IEEE/ACM Transactions on Networking (TON)
On the Fractal Nature of WWW and Its Application to Cache Modeling
On the Fractal Nature of WWW and Its Application to Cache Modeling
Explaining World Wide Web Traffic Self-Similarity
Explaining World Wide Web Traffic Self-Similarity
Caching Proxies: Limitations and Potentials
Caching Proxies: Limitations and Potentials
Cost-aware WWW proxy caching algorithms
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
Using Document Features to Optimize Web Cache
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
An Adaptive Web Cache Access Predictor Using Neural Network
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
Web cache optimization with nonlinear model using object features
Computer Networks: The International Journal of Computer and Telecommunications Networking
GEMA: An Object Replacement Algorithm for Cooperative Web Proxy Systems
Multimedia Tools and Applications
Design and analysis of a variable bit rate caching algorithm for continuous media data
Multimedia Tools and Applications
Intelligent Naïve Bayes-based approaches for Web proxy caching
Knowledge-Based Systems
Intelligent Web proxy caching approaches based on machine learning techniques
Decision Support Systems
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Adaptive Web caching offers a way to improve network performance using current technologies. The challenge facing researchers is to determine what objects should be cached. As biostatisticians use regression models to predict the risk of disease development, the authors use a logistic regression model to predict the cache worthiness of Web objects