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Large, established systems are essentially impossible to replace and must be improved incrementally to incorporate disaster tolerance. The question of which components need to be upgraded or have added redundancy requires the system to be wholly analyzed or simulated. Unfortunately, extremely large systems are not amenable to comprehensive simulation studies due to the large computational complexity...
This paper presents a high performance face recognition system, in which the face database has a large amount of 2.5 million faces. Huge as the face database is, the recognition processes in ordinary ways meets with great difficulties: the identification rate of most algorithms may decline significantly; meanwhile, querying on a large-scale database may be quite time-consuming. In our system, a special...
As the system size of Beowulf-Class cluster system scales up, system administration becomes challenging due to the increased complexity of the system. The lack of powerful tools for the administrative tasks even makes the matter worse. This paper presents a proposed framework for system management of large Beowulf cluster that divided the management task into well defined layers of service. A cluster...
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