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发表刊物：IEEE Transactions on Automation Science and Engineering
刊物所在地：美国
关键字：Distributed cloud data centers (DCDCs), Savitzky–Golay (SG) filter, stochastic configuration network
摘要：With their fast development and deployment, a large number of cloud services provided by distributed cloud data centers have become the most important part of Internet services. In spite of numerous benefits, their providers face some challenging issues, e.g., dynamic resource scaling and power consumption. Workload prediction plays a crucial role in addressing them. Accuracy and fast learning are the key performances. Its consistent efforts have been made for their improvement. This paper proposes an integrated prediction method that combines the Savitzky-Golay filter and wavelet decompositio
论文类型：基础研究
论文编号：DOI: 10.1109/TASE.2019.2895801
一级学科：计算机科学与技术
文献类型：期刊
卷号：16
期号：4
页面范围：1763-1773
ISSN号：1545-5955
是否译文：否
CN号：null
发表时间：2019-10-01
收录刊物：SCI
发布期刊链接：https://ieeexplore-ieee-org-s.vpn.buaa.edu.cn:8118/document/8648212