Adaptation of Parallel SaaS to Heterogeneous Co-Located Cloud Resources

Adaptation of Parallel SaaS to Heterogeneous Co-Located Cloud Resources

Cloud computing has received increasing attention due to its promise of delivering on-demand, scalable, and virtually unlimited resources. However, heterogeneity or co-location of virtual cloud resources can cause severe degradation of the efficiency of parallel computations because of a priori unkn...

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Bibliographic Details
Main Authors: Oleg Bystrov, Ruslan Pacevič, Arnas Kačeniauskas
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
heterogeneous co-located cloud resources
weighted partitioning
runtime measured performance
Docker containers
discrete element method
memory bandwidth bound applications
Online Access:https://www.mdpi.com/2076-3417/13/8/5115

Internet

https://www.mdpi.com/2076-3417/13/8/5115

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