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Retrieval scheduling for collaborative multimedia presentations
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AI
DOI：10.1007/s005300050157.png)
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Abstract
En 中文
The single-system approach is no longer sufficient to handle the load on popular Internet servers, especially for those offering extensive multimedia content. Such set-vices have to be replicated to enhance their availability, performance, and reliability. In a highly replicated and available environment, server selection is an important issue. In this paper, we propose an application-layer broker (ALB) for this purpose. ALB employs a content-based, client-centric approach to negotiate with the servers and to identify the best server for the requested objects. ALB aims to maximize client buffer utilization in order to efficiently handle dynamic user interactions such as skip, reverse presentation, go back in time. We also present details of a collaborative multimedia presentation platform that we have developed based on ALB.
Keywords:
scalable and highly available web servers multimedia presentations
multimedia information retrieval schedule
buffer utilization and optimization
Journal
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3.1
Papers:
2.7K
Citations:
2.7K
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