Welcome to the InfoSci Platform
Reference Hub1
Information-Theoretic Methods for Prediction in the Wireless and Wired Web

Information-Theoretic Methods for Prediction in the Wireless and Wired Web

Dimitrios Katsaros
Copyright: © 2007 |Pages: 20
ISBN13: 9781599042282|ISBN10: 1599042282|ISBN13 Softcover: 9781599042299|EISBN13: 9781599042305
DOI: 10.4018/978-1-59904-228-2.ch007
Cite Chapter Cite Chapter

MLA

Katsaros, Dimitrios. "Information-Theoretic Methods for Prediction in the Wireless and Wired Web." Web Data Management Practices: Emerging Techniques and Technologies, edited by Athena Vakali and George Pallis, IGI Global, 2007, pp. 159-178. https://doi.org/10.4018/978-1-59904-228-2.ch007

APA

Katsaros, D. (2007). Information-Theoretic Methods for Prediction in the Wireless and Wired Web. In A. Vakali & G. Pallis (Eds.), Web Data Management Practices: Emerging Techniques and Technologies (pp. 159-178). IGI Global. https://doi.org/10.4018/978-1-59904-228-2.ch007

Chicago

Katsaros, Dimitrios. "Information-Theoretic Methods for Prediction in the Wireless and Wired Web." In Web Data Management Practices: Emerging Techniques and Technologies, edited by Athena Vakali and George Pallis, 159-178. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/978-1-59904-228-2.ch007

Export Reference

Mendeley
Favorite

Abstract

Discrete sequence modeling and prediction is an important goal and a challenge for Web environments, both wired and wireless. Web client’s data request forecasting and mobile location tracking in wireless cellular networks are characteristic application areas of sequence prediction in such environments. Accurate data request prediction results in effective data prefetching which combined with a caching mechanism can reduce user-preceived latencies as well as server and network loads. Also, effective solutions to the mobility tracking/prediction problem can reduce the update and paging costs, freeing the network from exceesive signaling traffic. Therefore, sequence prediction comprises a very important study and development area . This article presents information-theoretic techniques for discrete sequence prediction. It surveys, classifies, and compares the state-of-the-art solutions, suggesting routes for further research by discussing the critical issues and challenges of prediction in wired and wireless networks

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.