Abstract:We design and implement a Job Management System for improving automation level of job execution process in network-based digital multimedia content production. Jobs are automatically parallelized and executed on a large number of execution machines. Our implementation of the Job Management System has two novel aspects. One aspect is using a feedback mechanism in execution time estimation base on Extreme Learning Machine (ELM) for self-optimizing. Based on the feedback mechanism, we can continually use the newl… Show more
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