EN-Beats: A Novel Ensemble Learning-Based Method for Multiple Resource Predictions in Cloud-Reference-Cited by-同舟云学术

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EN-Beats: A Novel Ensemble Learning-Based Method for Multiple Resource Predictions in Cloud

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 16th International Conference on Cloud Computing (CLOUD)
language:
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Author:

Chen Ming¹,Read Maria Rodriguez¹,Arroba Patricia²,Buyya Rajkumar¹

Affiliation:

1. School of Computing and Information Systems, The University of Melbourne,The Cloud Computing and Distributed Systems (CLOUDS) Laboratory,Melbourne,Australia

2. CCS-Center for Computational Simulation, Universidad Politécnica de Madrid,Laboratorio de Sistemas Integrados (LSI),Madrid,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10254734/10254952/10254959.pdf?arnumber=10254959

Reference27 articles.

1. Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting

2. Short-term cloud coverage prediction using the ARIMA time series model

3. Adjusted fair scheduling and non-linear workload prediction for QoS guarantees in grid computing

4. Temporal Prediction of Multiapplication Consolidated Workloads in Distributed Clouds

5. Hybrid task prediction based on wavelet decomposition and ARIMA model in cloud data center

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