Machine Learning for Networking: Workflow, Advances and Opportunities

• Published in: IEEE network Vol. 32; no. 2; pp. 92 - 99
• Main Authors: Wang, Mowei, Cui, Yong, Wang, Xin, Xiao, Shihan, Jiang, Junchen
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial intelligence; Computer networks; Computing time; Data models; Decision making; Distributed processing; Feature extraction; Hidden Markov models; Machine learning; Machine learning algorithms; Predictive models; Training; Workflow

Recently, machine learning has been used in every possible field to leverage its amazing power. For a long time, the networking and distributed computing system is the key infrastructure to provide efficient computational resources for machine learning. Networking itself can also benefit from this p...