Leveraging Deep Learning To Achieve Efficient Resource Allocation With Traffic Evaluation In Datacenter Optical Networks
2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)(2018)
Abstract
This paper first presents a deep learning-based resource allocation strategy supported by global evaluate factor in intra-datacenter optical networks. Numerical results show the proposed strategy improves traffic prediction accuracy and has superior performance.
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Key words
efficient resource allocation,traffic evaluation,intra-datacenter optical networks,traffic prediction accuracy,deep learning-based resource allocation strategy
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