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The Internet and the web are increasingly used to disseminate fast changing data such as sensor data, weather information, stock prices, sports scores, and even health monitoring information. These data items are highly dynamic, i.e., the data changes continuously and rapidly, streamed in real-time, i.e., new data can be viewed as being appended to the old or historical data, and aperiodic, i.e., the time between the updates and the value of the updates are not known a priori. Increasingly, more and more users are interested in monitoring such data for on-line decision making. Traditional dissemination methods involve a pull or a push of data between a source of the data and a client. However, resource limitations at the source limits the number of users that can be served directly by it.