ISBN: 9783836485883 - scalable hybrid data dissemination for internet hot spots (3 risultati)

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  • Lingua: Inglese

    Editore: VDM Verlag Dr. Müller, 2008

    3836485885 / 9783836485883

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    Da: preigu, Osnabrück, Germaniapreigu

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    Condizione: Nuovo

    EUR 49,00

    EUR 70,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 5 disponibili

    Taschenbuch. Condizione: Neu. Scalable Hybrid Data Dissemination for Inetrnet Hot Spots | Wenhui Zhang | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783836485883 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

  • Lingua: Inglese

    Editore: VDM Verlag Dr. Müller, 2008

    3836485885 / 9783836485883

    • Brossura

    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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    Condizione: Usato - Come nuovo

    EUR 123,13

    EUR 29,59 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: VDM Verlag Dr. Müller, 2008

    3836485885 / 9783836485883

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    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 49,00

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Server scalability can be greatly enhanced with hybrid data dissemination that combines multicast and unicast techniques. Multicast is ideal for popular data. It aggregates multiple unicast data transfers into a single transmission and is thus more scalable than unicast. On the other hand, multicast is inappropriate for unpopular data since it would force unwanted contents on most clients. As a result, hybrid data dissemination would ideally achieve scalable utilization of server and network resources while avoiding the reception of unneeded contents.In this work, we first present a deployment framework for hybrid data delivery in the Internet. Then, we study a fundamental problem in hybrid data dissemination: document selection, which determines the transfer method that is most appropriate for each data item. We individuate special challenges, such as scalable and robust popularity estimation, appropriate classification of documents, and unpopular large documents. In addition, we examine other critical issues including multicast performance evaluation and application level multicast protocols. Our work contributes to building practical hybrid data dissemination network services.…