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Self-adaptive workload classification and forecasting for proactive resource provisioning
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering, 2013SUMMARYAs modern enterprise software systems become increasingly dynamic, workload forecasting techniques are gaining an importance as a foundation for online capacity planning and resource management. Time series analysis offers a broad spectrum of methods to calculate workload forecasts based on history monitoring data.
Herbst, N. R. +3 more
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Analysis of Clustering Effects In Cloud Workload Forecasting
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023Sathiya R. R +3 more
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Toward on-Line Predictive Models for Forecasting Workload in Clouds
2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2018Forecasting workload plays a crucial role in term of Quality of Service (QoS) guarantee in cloud computing. However, there are existing challenges including continuous forecast and multi-step-ahead prediction due to the time series structure characteristics of workload.
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Learning-based Phase-aware Multi-core CPU Workload Forecasting
ACM Transactions on Design Automation of Electronic Systems, 2023Erika Susana Alcorta Lozano +1 more
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Auto-adaptive learning-based workload forecasting in dynamic cloud environment
International Journal of Computers and Applications, 2022Ashutosh Kumar Singh, Deepika Saxena
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Workload placement with forecast
2021GOPALAN PARIKSHIT SANTHANA GOPALAN +5 more
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Self directed learning based workload forecasting model for cloud resource management
Information Sciences, 2021Rajkumar Buyya +2 more
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