Dennis Roubos

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—The research area of Multimedia Content Analysis (MMCA) considers all aspects of the automated extraction of new knowledge from large multimedia data streams and archives. In recent years, there has been a tremendous growth (in data and computational demands) in the MMCA domain, and this growth is likely to continue in the near future. Multimedia(More)
The research area of multimedia content analysis (MMCA) considers all aspects of the automated extraction of knowledge from multimedia archives and data streams. To adhere to strict time constraints, large-scale multimedia applications typically are being executed on distributed systems consisting of large collections of compute clusters. In a distributed(More)
—The application and research area of Multimedia Content Analysis (MMCA) considers all aspects of the automated extraction of new knowledge from large multimedia data streams and archives. In recent years, there has been a tremendous growth in the MMCA application domain (for real-time and off-line execution scenarios alike), and this growth is likely to(More)
Load balancing (LB) is crucial for the efficient operation of big server clusters. In the past, many different LB strategies on the request level have been developed with great effectiveness in parallel applications. However, the LB problem is not yet solved completely; new applications and architectures require new features. In particular, secure(More)
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