An Empirical Study on Machine Learning for Enterprise Cloud Computing Service Management
Ningbo Liu *
Lyceum of the Philippines University Manila, Muralla Cor. Real Sts., Intramuros 1002 Manila, Philippines.
*Author to whom correspondence should be addressed.
Abstract
A machine learning method is proposed to aim at the problems of large data processing, complex data, and limited system resources in cloud computing service management. First, multi-department analysis is carried out on cloud service management data, and relevant management data is standardized to form a standardized management data collection; Machine learning is used to classify, mine, and extract service management data, and corresponding management measures are taken promptly to improve the management level of cloud computing services. MATLAB simulation shows that machine learning can improve the level of cloud computing service management, simplify the process of cloud computing service management, shorten the management time of cloud computing services, and meet the actual needs of service management.
Keywords: Cloud computing, service management, machine learning, empirical