Interactive Temporal Recurrent Convolution Network for Traffic Prediction in Data Centers

Accurately predicting future service traffic would be of great help for load balancing and resource allocation, which plays a key role in guaranteeing the quality of service (QoS) in cloud computing. With the rapid development of data center, the large-scale network traffic prediction requires more...

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Bibliographic Details
Main Authors: Xiaofeng Cao, Yuhua Zhong, Yun Zhou, Jiang Wang, Cheng Zhu, Weiming Zhang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8240913/