Dynamic K-Means Clustering of Workload and Cloud Resource Configuration for Cloud Elastic Model

Dynamic K-Means Clustering of Workload and Cloud Resource Configuration for Cloud Elastic Model

Cloud elasticity involves timely provisioning and de-provisioning of computing resources and adjusting resources size to meet the dynamic workload demand. This requires fast, and accurate resource scaling methods at minimum cost (e.g. pay as you go) that match with workload demands. Two dynamic chan...

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Bibliographic Details
Main Authors: Tariq Daradkeh, Anjali Agarwal, Marzia Zaman, Nishith Goel
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Elastic model
kernel density estimator
dynamic k-means clustering
workload
data center configuration
logs analysis
Online Access:https://ieeexplore.ieee.org/document/9281032/

Internet

https://ieeexplore.ieee.org/document/9281032/

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