An Adaptive Workload Prediction Strategy for Non-Gaussian Cloud Service Using ARMA Model with Higher Order Statistics
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8457546/8457768/08457858.pdf?arnumber=8457858
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Leveraging Sparse Auto-Encoding and Dynamic Learning Rate for Efficient Cloud Workloads Prediction;IEEE Access;2023
2. CANFIS: A Chaos Adaptive Neural Fuzzy Inference System for Workload Prediction in the Cloud;IEEE Access;2022
3. Efficient resource scaling based on load fluctuation in edge-cloud computing environment;The Journal of Supercomputing;2020-01-09
4. An Accurate Ensemble Forecasting Approach for Highly Dynamic Cloud Workload With VMD and R-Transformer;IEEE Access;2020
5. ELVMC: A Predictive Energy-Aware Algorithm for Virtual Machine Consolidation in Cloud Computing;Algorithms and Architectures for Parallel Processing;2020
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