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论文类型：期刊论文

发表时间：2013-05-01

发表刊物：JOURNAL OF SUPERCOMPUTING

收录刊物：SCIE、EI、Scopus

卷号：64

期号：2

页面范围：383-408

ISSN号：0920-8542

关键字：Data center; Thermal management; Thermal camera networks; Energy consumption; Fine-grained data collection

摘要：Thermal cameras provide fine-grained thermal information that enables monitoring and autonomic thermal management in large datacenters. The real-time thermal monitor network employing thermal cameras is proposed to cooperatively localize hotspots and extract their characteristics (i.e., temperature, size, and shape). These characteristics are adopted to classify the causes of hotspots and make energy-efficient thermal management decisions such as job migration. Specifically, a sculpturing algorithm for extracting and reconstructing shape characteristics of hotspots is proposed to minimize the network overhead. Experimental results show the validity of all the algorithms proposed in this paper.