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Abstract: Many web users monitor dynamic data such as stock prices, real-time sensor data and traffic data for making on-line decisions. Instances of such data can be viewed as data streams. In this paper, we consider techniques for creating a resilient and efficient content distribution network for such dynamically changing streaming data. We address the problem of maintaining the coherency of dynamic data items in a network of repositories: data disseminated to one repository is filtered by that... (Update)
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BibTeX entry: (Update)
Shah, S., Dharmarajan, S., and Ramamritham, K. An Efficient and resilient Approach to Filtering and Disseminating Streaming Data. In VLDB 2003. http://citeseer.ist.psu.edu/shah03efficient.html More
@inproceedings{ shah03efficient,
author = "S. Shah and S. Dharmarajan and K. Ramamritham",
title = "An Efficient and resilient Approach to Filtering and Disseminating Streaming
Data",
booktitle = "VLDB 2003",
year = "2003",
url = "citeseer.ist.psu.edu/shah03efficient.html" }
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