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发表刊物：IEEE Robotics and Automation Letters
刊物所在地：美国
关键字：Cloud data centers, Stochastic configuration networks, Wavelet decomposition, Workload forecasting,
摘要：Cloud services have rapidly grown in cloud data centers (CDCs). Accurate workload prediction benefits CDCs since appropriate resource provisioning can be performed for their providers to ensure the full satisfaction of service-level agreement (SLA) requirements from users. Yet these providers face some challenging issues in accurate workload prediction, i.e., how to achieve high accuracy and fast learning of prediction models. Consistent efforts have been made to address them. This letter proposes an innovative integrated forecasting method that combines stochastic configuration networks with
论文类型：基础研究
论文编号：DOI: 10.1109/LRA.2019.2899224
一级学科：计算机科学与技术
文献类型：期刊
卷号：4
期号：3
页面范围：2401-2406
ISSN号：2377-3766
是否译文：否
CN号：null
发表时间：2019-07-01
收录刊物：SCI
发布期刊链接：https://ieeexplore-ieee-org-s.vpn.buaa.edu.cn:8118/document/8641310