Leveraging Imbalance and Ensemble Learning Methods for Improved Load Prediction in Cloud Computing Systems
Author:
Affiliation:
1. Concordia University,Electrical and Computer Engineering,Montreal,Canada
2. Jordan University of Science and Technology,Computer Science,Irbid,Jordan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10436958.pdf?arnumber=10436958
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2. A survey study on virtual machine migration and server consolidation techniques in dvfs-enabled cloud datacenter: Taxonomy and challenges;Shirvani,2020
3. A survey on ensemble learning;Dong,2020
4. Data prepro-cessing for supervised leaning;Kotsiantis;International Journal of Electrical and Computer Engineering,2006
5. Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud
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