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An Adaptable Transmission Management Framework for Push-mode Hypermedia Content

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Published:17 October 2017Publication History

ABSTRACT

In the delivery of hypermedia content over communication networks, the specified intermedia synchronization must be assured, despite the inherent delay and jitter of most transmission media and networks. This kind of content typically provides users multiple interaction paths, with different sets of media objects each one. In spite of that, when the hypermedia content is transmitted in push mode, users receive all media objects, regardless of the chosen interaction path. Transmission strategies that take into account the occurrence of both deterministic and non-deterministic hypermedia presentation events can decrease the waste of storage resources in the receiver side, as well as the need for network bandwidth. This work proposes a framework for an adaptable management of push-mode hypermedia content transmission. Adaptability is achieved by supporting multiple transmission strategies that may employ multiple transmission channels, which are built upon a content analysis for the identification of deterministic and non-deterministic hypermedia presentation events. Methods for instantiating the framework in the context of Ginga-NCL application transmission are also discussed over multiple transmission scenarios, in comparison with the existing, unmanaged content transmission.

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        cover image ACM Other conferences
        WebMedia '17: Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web
        October 2017
        522 pages
        ISBN:9781450350969
        DOI:10.1145/3126858

        Copyright © 2017 ACM

        Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 17 October 2017

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        WebMedia '17 Paper Acceptance Rate38of138submissions,28%Overall Acceptance Rate270of873submissions,31%

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