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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Beaver, J. Chrysanthis, P.K. Pruhs, K. Liberatore, V. |
| Copyright Year | 2006 |
| Description | Author affiliation: University of Pittsburgh, USA (Beaver, J.) |
| Abstract | A major problem in mobile web applications as well as the wireless Internet is the scalable delivery of data. The most popular solution for this problem is a hybrid system that uses broadcast push to scalably deliver the most popular data, and reserves broadcast pull for delivery of less popular data. Such a hybrid scheme introduces a variety of data management problems at the broadcast server. In this paper, we examine three of these problems: the push popularity problem, the document classification problem, and the bandwidth division problem. The push popularity problem is to estimate the popularity of the documents in the web site. The document classification problem is to determine which documents should be pushed and which documents must be pulled. The bandwidth division problem is to determine how much of the server bandwidth to devote to pushed documents and how much of the server bandwidth should be reserved for pulled documents. We propose simple and elegant solutions for these problems. We report on experiments with our system that validate our algorithms. |
| Starting Page | 40 |
| Ending Page | 40 |
| File Size | 325683 |
| Page Count | 1 |
| File Format | |
| ISBN | 0769525261 |
| ISSN | 15516245 |
| DOI | 10.1109/MDM.2006.152 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-10 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Broadcasting Bandwidth Mobile communication Scalability Network servers Delay Computer science Mobile computing Communication standards Kirk field collapse effect |
| Content Type | Text |
| Resource Type | Article |
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