Work

Study on cloud data center resource consumption prediction based on BILSTM, ARIMA, and SVR

Year: 2025

Type: article

Source: Advances in Complex Systems

DOI: 10.1142/s1793962325410259

Author: Ke Feng

Institution: Xi'an Technological University

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Climate action

Open Access status: closed

OpenAlex ID: W7105526604

FWCI: 1.107

Cites: 21

Cited by: 1

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