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- W146563418 abstract "Recent advances in telecommunications have enabled the deployment of broadcast-based wide-area information services that provide on-demand data access to large client populations. In this environment it is necessary to have a data server design that scales as the number of users, the data set size or the broadcast rate increases; that handles the case when the requested data is located at a different location than server cache; and that can efficiently disseminate updated data. In this thesis, we study implementation techniques and develop a data server design for large-scale on-demand data broadcast. First we develop a parameterized on-demand scheduling algorithm for memory-resident data, that provides a good performance across the criteria of responsiveness, scalability and robustness. This algorithm is tunable to emphasize different performance criteria and can balance individual and overall responsiveness. Unlike previous work on low overhead scheduling, the proposed algorithm is not based on estimates of the access probabilities of items, but rather, it makes scheduling decisions based on the current queue state. This behavior allows the algorithm to easily adapt to changes in the intensity and distribution of the workload. We perform a detailed simulation study, develop an analytical model, and use a prototype that we implement for the performance evaluation of the algorithm. Second, we develop efficient data staging policies for data retrieval when the scheduled data items are not available for immediate broadcast. In particular we design techniques that increase broadcast bandwidth utilization, that increase cache hit rates and that reduce the latencies incurred when a scheduled item is not currently cache-resident. We study and evaluate the system using the prototype implementation. Finally, we develop a publish/subscribe based scheduling algorithm to disseminate updates of data items to interested clients. For this purpose, we use a multiple channel model and develop an algorithm that decides which channel each client should be listening to." @default.
- W146563418 created "2016-06-24" @default.
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- W146563418 date "2000-01-01" @default.
- W146563418 modified "2023-09-26" @default.
- W146563418 title "On-demand data broadcast for large-scale and dynamic applications" @default.
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