A multivariate cloud workload prediction method integrating convolutional nonlinear spiking neural model with bidirectional long short-term memory

Q: What type of study is this?

This is a Quantitative Study study.

Mingguang He; Nan Zhou; Hong Peng; Zhicai Liu

doi:10.1142/s0129065725500716

September 12, 2025International Journal of Neural Systems

A multivariate cloud workload prediction method integrating convolutional nonlinear spiking neural model with bidirectional long short-term memory

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Key Points

The prediction method significantly enhances cloud workload forecasting accuracy using advanced neural models.
Integration of convolutional nonlinear spiking neural networks and bidirectional long short-term memory improves prediction performance in complex environments.
This research focuses on multivariate analysis, which helps in understanding various factors that affect cloud workloads.
Utilizing machine learning techniques, this method can adapt to dynamic changes in workload patterns over time.

Implication

This method integrates convolutional neural models and bidirectional long short-term memory, suggesting improved accuracy in cloud workload forecasting.

Abstract

International Journal of Neural SystemsAccepted Papers No AccessA multivariate cloud workload prediction method integrating convolutional nonlinear spiking neural model with bidirectional long short-term memoryMinglong He, Nan Zhou, Hong Peng, and Zhicai LiuMinglong He, Nan Zhou Search for more papers by this author , Hong Peng Search for more papers by this author , and Zhicai Liu Search for more papers by this author https://doi.org/10.1142/S0129065725500716Cited by:0 (Source: Crossref) Next AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 4 May 2025 Accepted 3 September 2025 PDF download

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Cite This Study

He et al. (2025) studied this question.

synapsesocial.com/papers/68d4605131b076d99fa5fd3e https://doi.org/10.1142/s0129065725500716

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A multivariate cloud workload prediction method integrating convolutional nonlinear spiking neural model with bidirectional long short-term memory

Key Points

Implication

Abstract

Discussion

Cite This Study

A multivariate cloud workload prediction method integrating convolutional nonlinear spiking neural model with bidirectional long short-term memory

Key Points

Implication

Abstract

Discussion

Cite This Study

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