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   Articles with "workload prediction" as a keyword



iRD-NN: an improved RainDrop-driven Neural Network model for cloud workload prediction

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recommendations! Published in 2024 at "Physica Scripta"

DOI: 10.1088/1402-4896/ad9e38

Abstract: The rapidly evolving landscape of the cloud computing necessitates development of an accurate workload prediction mechanism to ensure an efficient resource utilization, flexibility and minimal operational cost. However, the unforeseeable workload patterns in terms of… read more here.

Keywords: raindrop; workload; workload prediction; cloud ... See more keywords

COIN: A Container Workload Prediction Model Focusing on Common and Individual Changes in Workloads

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recommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2022.3202833

Abstract: Recently, containers have become the primary deployment form for cloud applications. Predicting container workload accurately is critical to ensure the quality of service (QoS) and cost-efficiency of the applications and meet service level agreements (SLAs)… read more here.

Keywords: workload; container workload; model; workload prediction ... See more keywords

Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud

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recommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2023.3240567

Abstract: The precise estimation of resource usage is a complex and challenging issue due to the high variability and dimensionality of heterogeneous service types and dynamic workloads. Over the last few years, the prediction of resource… read more here.

Keywords: machine learning; workload prediction; prediction models; prediction ... See more keywords

TFEGRU: Time-Frequency Enhanced Gated Recurrent Unit With Attention for Cloud Workload Prediction

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recommendations! Published in 2025 at "IEEE Transactions on Services Computing"

DOI: 10.1109/tsc.2024.3517324

Abstract: Accurate prediction of cloud workload is crucial for effective resource allocation in cloud computing. However, due to the complexity and high dimensionality of workloads in the cloud environment, achieving precise workload prediction is a complex… read more here.

Keywords: workload; time frequency; workload prediction; prediction ... See more keywords

Profit-Efficient Elastic Allocation of Cloud Resources Using Two-Stage Adaptive Workload Prediction

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recommendations! Published in 2025 at "Applied Sciences"

DOI: 10.3390/app15052347

Abstract: Internet services are increasingly being deployed using cloud computing. However, the workload of an Internet service is not constant; therefore, the required cloud computing resources need to be allocated elastically to minimize the associated costs.… read more here.

Keywords: workload prediction; cloud; prediction; two stage ... See more keywords

Tr-Predictior: An Ensemble Transfer Learning Model for Small-Sample Cloud Workload Prediction

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recommendations! Published in 2022 at "Entropy"

DOI: 10.3390/e24121770

Abstract: Accurate workload prediction plays a key role in intelligent scheduling decisions on cloud platforms. There are massive amounts of short-workload sequences in the cloud platform, and the small amount of data and the presence of… read more here.

Keywords: transfer; cloud workload; workload prediction; prediction ... See more keywords