2006Kluwer Academic Publishers eBooksRequires access

Real Time Streaming Data Grid Applications

Geoffrey Fox, Mehmet S. Aktaş, Galip Aydın, Hasan Bulut, Shrideep Pallickara, Marlon Pierce, Ahmet Sayar, Wenjun Wu, Gang Zhai

Open publisher page 36 citations

Abstract

We review several aspects of building real-time streaming data Grid applications. Building on general purpose messaging system software (NaradaBrokering) and generalized collaboration services (GlobalMMCS), we are developing a diverse set of interoperable capabilities. These include dynamic information systems for managing short-lived collaborative service collections (“gaggles”), stream filters to support the integration of Geographical Information Systems services with data analysis applications, streaming video to support collaborative geospatial maps with time-dependent data, and video stream playback and annotation services to enable scientific collaboration.

About this research paper

What this paper is about

We review several aspects of building real-time streaming data Grid applications. Building on general purpose messaging system software (NaradaBrokering) and generalized collaboration services (GlobalMMCS), we are developing a diverse set of interoperable capabilities. These include dynamic information systems for managing short-lived collaborative service collections (“gaggles”), stream filters to support the integration of Geographical Information Systems services with data analysis applications, streaming video to support collaborative geospatial maps with time-dependent data, and video stream playback and annotation services to enable scientific collaboration.

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OpenAlex reports 36 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We review several aspects of building real-time streaming data Grid applications. Building on general purpose messaging system software (NaradaBrokering) and generalized collaboration services (GlobalMMCS), we are developing a diverse set of interoperable capabilities. These include dynamic information systems for managing short-lived collaborative service collections (“gaggles”), stream filters to support the integration of Geographical Information Systems services with data analysis applications, streaming video to support collaborative geospatial maps with time-dependent data, and video stream playback and annotation services to enable scientific collaboration.

Key concepts: Interoperability, Computer science, Grid, Geospatial analysis, Service (business), Grid computing, World Wide Web, Middleware (distributed applications)

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