An Efficient Multivariate Autoscaling Framework Using Bi-LSTM for Cloud Computing

An Efficient Multivariate Autoscaling Framework Using Bi-LSTM for Cloud Computing

With the rapid development of 5G technology, the need for a flexible and scalable real-time system for data processing has become increasingly important. By predicting future resource workloads, cloud service providers can automatically provision and deprovision user resources for the system beforeh...

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Bibliographic Details
Main Authors: Nhat-Minh Dang-Quang, Myungsik Yoo
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
multivariate variables
time series forecasting
autoscaling
resource estimation
cloud computing
Online Access:https://www.mdpi.com/2076-3417/12/7/3523

Internet

https://www.mdpi.com/2076-3417/12/7/3523

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