Semantic Based Prefetching in News-on-Demand Video Servers
Multimedia Tools and Applications
Designing and Implementing High-Performance Media-on-Demand Servers
IEEE Parallel & Distributed Technology: Systems & Technology
Techniques for Increasing the Stream Capacity of A High-Performance Multimedia Server
IEEE Transactions on Knowledge and Data Engineering
Presentation Planning for Distributed VoD Systems
IEEE Transactions on Knowledge and Data Engineering
The design of a high performance video server for managing TV archives
ADBIS'97 Proceedings of the First East-European conference on Advances in Databases and Information systems
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One of the key components of a multi-user multimedia-on-demand system is the data server. Digitalization of traditionally analog data such as video and audio, and the feasibility of obtaining network bandwidths above the gigabit-per-second range are two important advances that have made possible the realization, in the near future, of interactive distributed multimedia systems. Secondary-to-main memory I/O technology has not kept pace with advances in networking, main memory and CPU processing power. Consequently, the performance of the server has a direct bearing on the overall performance of such a system. In this paper, we develop a model for the architecture of a server for such a system. Parallelism of data retrieval is achieved by striping the data across multiple disks. The performance of any server ultimately depends on the data access patterns. Two modifications of the basic retrieval algorithm are presented to exploit data access patterns in order to improve system throughput and response time. A complementary information caching optimization is discussed. Finally, we present performance results of these algorithms on the IBM SP1 and Intel Paragon parallel computers.