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Research on Resource Demand Prediction and Optimal Allocation Method in Cloud Computing Environment

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3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 236))

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Abstract

With the continuous development of digital informatization, many data processing technologies came into being. As a new data processing technology, the specific application environment of cloud computing is the whole Internet. Through data processing, analyze and sort out the data correlation, and provide relevant resources and services for users. Operating cloud computing infrastructure plays an important role in realizing the operation of cloud computing, so this paper mainly studies the companies that provide operating cloud computing and related companies that provide cloud computing services. Taking the optimization management of cloud computing resources as the research direction, the short-term dynamic prediction of cloud computing resources of load and other related means is used to conduct specific research. This paper intends to systematically describe cloud computing resources, and then effectively organize and rationally allocate cloud computing resources, improve resource service quality, reduce redundant costs of related enterprises, and achieve the best profit of enterprises.

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Correspondence to Hailian Zhou .

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Sun, Y., Zhou, H. (2021). Research on Resource Demand Prediction and Optimal Allocation Method in Cloud Computing Environment. In: Jain, L.C., Kountchev, R., Tai, Y. (eds) 3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning. Smart Innovation, Systems and Technologies, vol 236. Springer, Singapore. https://doi.org/10.1007/978-981-16-3180-1_8

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