点击次数：
发表刊物：Information Science
刊物所在地：荷兰
关键字：Geo-distributed cloud data centers, Stochastic configuration networks, Wavelet decomposition, Worklo
摘要：Nowadays, a large number of cloud services have been published and hosted by geo-distributed cloud data centers (Geo-2DCs). In spite of numerous benefits, those Geo-2DCs face significant challenges such as dynamic resource scaling where workload forecasting plays a crucial role in addressing such a challenge. High accuracy and fast learning are key indicators for workload forecasting and the literature has witnessed a lot of efforts. This work proposes an integrated forecasting method, equipped with noise filtering and data frequency representation, named Savitzky-Golay and Wavelet-supported S
论文类型：基础研究
论文编号：DOI: 10.1016/j.ins.2018.12.027
一级学科：计算机科学与技术
文献类型：期刊
卷号：481
页面范围：57-68
ISSN号：0020-0255
是否译文：否
CN号：null
发表时间：2019-05-01
收录刊物：SCI
发布期刊链接：https://www-sciencedirect-com-s.vpn.buaa.edu.cn:8118/science/article/pii/S0020025518309642