Deep Learning-Based Autoscaling Using Bidirectional Long Short-Term Memory for Kubernetes

Deep Learning-Based Autoscaling Using Bidirectional Long Short-Term Memory for Kubernetes

Presently, the cloud computing environment attracts many application developers to deploy their web applications on cloud data centers. Kubernetes, a well-known container orchestration for deploying web applications on cloud systems, offers an automatic scaling feature to meet clients’ ever-changing...

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Bibliographic Details
Main Authors: Nhat-Minh Dang-Quang, Myungsik Yoo
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
cloud computing
web application
autoscaling
time-series analysis
resource estimation
Kubernetes
Online Access:https://www.mdpi.com/2076-3417/11/9/3835

Internet

https://www.mdpi.com/2076-3417/11/9/3835

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