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Title: Randomized adaptive video on demand
Authors: Μπούρας, Χρήστος
Καπούλας, Βαγγέλης
Πάντζιου, Γραμματή Ε.
Σπυράκης, Παύλος
Item type: Conference publication
Conference Item Type: Short Paper
Keywords: βίντεο κατα παραγγελία;ερευνητικό σχέδιο;κανάλια;ταινίες;Video on Demand;Research project;channels;movies
Subjects: Επιστήμες
Computer science
Issue Date: 28-May-2015
Creation Date: 1996
Abstract: Necessary to be known by this variation of our method. We believe that the assumption on a skewed distribution of movie requests is a pragmatic one. The model considered here follows [AGH, 95], as far as the architecture is concerned. Assume, that the distribution p() of movie requests is known. Our scheduler S divides (initially) the channels according to p(), so that channels in partition C i will be used for movies to beseenby at least i users on average. The goal is to allocate channels in a way which optimizes channel revenue and reduces unused channels. S puts the arriving requests to the movie queues: When a request for movie m j is done, it is inserted into Q j . When 3 Work supported in part by the ESPRIT II Basic Research project GEPPCOM under contract No. 7141, and by the IT Long Term Research project ALCOM-IT under contract No.
Language: English
Citation: Bouras, C., Kapoulas, V., Pantziou, G. and Spirakis, P. (1996) Randomized Adaptive Video on Demand. Proceedings of Principles of Distributed Computing - PODC'96.
Conference: Proceedings of Principles of Distributed Computing - PODC'96
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
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