RNN-LSTM and Multiobjective Hybrid Light Spectrum Optimization Enabled Task Scheduling in Cloud Computing

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This is a Quantitative Study study.

C. M. Shetty; H. Sarojadevi

doi:10.1142/s0219622026500033

September 12, 2025International Journal of Information Technology & Decision Making

RNN-LSTM and Multiobjective Hybrid Light Spectrum Optimization Enabled Task Scheduling in Cloud Computing

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Key Points

Improved task scheduling using RNN-LSTM enhances efficiency in cloud computing environments, addressing resource allocation.
Multiobjective hybrid light spectrum optimization shows significant potential for workflow management and efficiency.
The study employs advanced algorithms to optimize resource scheduling, demonstrating a solid technological foundation.
The findings indicate that optimization approaches can greatly influence task scheduling and resource management.

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Implication

Implementing RNN-LSTM and multiobjective optimization improves task scheduling in cloud computing, suggesting enhanced performance.

Abstract

International Journal of Information Technology & Decision MakingAccepted Papers No AccessRNN-LSTM and Multiobjective Hybrid Light Spectrum Optimization Enabled Task Scheduling in Cloud ComputingChinmai Shetty and H SarojadeviChinmai Shetty and H Sarojadevi Search for more papers by this author https://doi.org/10.1142/S0219622026500033Cited by:0 (Source: Crossref) PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favorites

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Cite This Study

Shetty et al. (2025) studied this question.

synapsesocial.com/papers/68d4605131b076d99fa5fd51 https://doi.org/10.1142/s0219622026500033

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RNN-LSTM and Multiobjective Hybrid Light Spectrum Optimization Enabled Task Scheduling in Cloud Computing

Key Points

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Implication

Abstract

Discussion

Cite This Study

RNN-LSTM and Multiobjective Hybrid Light Spectrum Optimization Enabled Task Scheduling in Cloud Computing

Key Points

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Implication

Abstract

Discussion

Cite This Study

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