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• W2519786574 abstract "In this paper we suggest a novel approach for long-term prefetching in wide area content delivery applications. The users attach (explicitly or implicitly) preferences towards the desired latency versus obsolescence for each accessed object, and the suggested model considers these preferences when deciding upon the subset of objects selected for prefetching under a given bandwidth limit. Each accessed object is assigned with a score that counts the “cost” saved during a given period of time if the object is selected for prefetching. Under a given bandwidth constraint available during a period of time, while considering the estimated frequency of objects' synchronization, their access patterns and their sizes, a dynamic programming algorithm is run to select the optimal subset of cached object selected for prefetching. Empirical analysis done using simulation with synthetic data, demonstrates that the suggested model using users' preferences outperforms popular prefetching strategies such as prefetching-by-lifetime and prefetching-by-popularity." @default.
• W2519786574 created "2016-09-23" @default.
• W2519786574 creator A5031022017 @default.
• W2519786574 date "2016-07-01" @default.
• W2519786574 modified "2023-09-25" @default.
• W2519786574 title "Preference-based long-term prefetching using latency-obsolescence tradeoff" @default.
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• W2519786574 doi "https://doi.org/10.1109/hpcsim.2016.7568357" @default.
• W2519786574 hasPublicationYear "2016" @default.
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