Proactive Random-Forest Autoscaler for Microservice Resource Allocation

Proactive Random-Forest Autoscaler for Microservice Resource Allocation

Cloud service providers have been shifting their workloads to microservices to take advantage of their modularity, flexibility, agility, and scalability. However, numerous obstacles remain to achieving the most out of microservice deployments, especially in terms of a Quality of Service (QoS). One p...

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Bibliographic Details
Main Authors: Lamees M. Al Qassem, Thanos Stouraitis, Ernesto Damiani, Ibrahim Abe M. Elfadel
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Microservices
autoscalers
resource allocation
resource utilization
machine learning
random forest
Online Access:https://ieeexplore.ieee.org/document/10005166/

Internet

https://ieeexplore.ieee.org/document/10005166/

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