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Towards Coordinated Data Management For High-Performance Distributed Multimedia Content Analysis

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Grid Computing

In a few years, access to the content of multimedia data will be a problem of phenomenal proportions, as digital cameras may produce high data rates, and multimedia archives steadily run into petabytes of storage space. As a consequence, in the field of large-scale distributed Multimedia Content Analysis (MMCA) there is an urgent need for the coordinated handling of vast amounts of distributed and replicated data collections.

Any sustainable solution to the management problem of distributed (multimedia) data in Grids has to follow a layered approach, starting from a new generation of network controllers and, through a novel middleware, up to an interface to applications.

In this paper we report on our first steps of our bigger plan in this direction. Specifically, we introduce a new transport protocol layer (called HI-TP), which is capable of taking advantage of the storage capabilities of network devices, such as routers. The paper presents the protocol definition, and discusses initial performance results for basic transmission functionality. Results indicate that our protocol is capable of achieving higher throughput than traditional transport protocols, even in networks with significant latency.

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Giacomin, P., Bassi, A., Seinstra, F.J., Kielmann, T. (2008). Towards Coordinated Data Management For High-Performance Distributed Multimedia Content Analysis. In: Gorlatch, S., Fragopoulou, P., Priol, T. (eds) Grid Computing. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09457-1_12

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  • DOI: https://doi.org/10.1007/978-0-387-09457-1_12

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-09456-4

  • Online ISBN: 978-0-387-09457-1

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