Edge-Cloud Synergy for AI-Enhanced Sensor Network Data: A Real-Time Predictive Maintenance Framework

Sensors, Journal Year: 2024, Volume and Issue: 24(24), P. 7918 - 7918

Published: Dec. 11, 2024

Sensor networks generate vast amounts of data in real-time, which challenges existing predictive maintenance frameworks due to high latency, energy consumption, and bandwidth requirements. This research addresses these limitations by proposing an edge-cloud hybrid framework, leveraging edge devices for immediate anomaly detection cloud servers in-depth failure prediction. A K-Nearest Neighbors (KNNs) model is deployed on detect anomalies reducing the need continuous transfer cloud. Meanwhile, a Long Short-Term Memory (LSTM) analyzes time-series analysis, enhancing scheduling operational efficiency. The framework’s dynamic workload management algorithm optimizes task distribution between resources, balancing usage, consumption. Experimental results show that approach achieves 35% reduction 28% decrease 60% usage compared cloud-only solutions. framework offers scalable, efficient solution real-time maintenance, making it highly applicable resource-constrained, data-intensive environments.

Language: Английский

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Dynamic secret sharing for enhanced cloud security: Tackling eavesdropping and threshold attacks

Egyptian Informatics Journal, Journal Year: 2025, Volume and Issue: 30, P. 100660 - 100660

Published: March 31, 2025

Language: Английский

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A Probabilistic Approach to Load Balancing in Multi-Cloud Environments via Machine Learning and Optimization Algorithms

Journal of Grid Computing, Journal Year: 2025, Volume and Issue: 23(2)

Published: April 11, 2025

Language: Английский

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Next-Generation Cybersecurity Solution: A Decentralized Ransomware Recovery Network (DRRN) with Secret Sharing

SN Computer Science, Journal Year: 2025, Volume and Issue: 6(5)

Published: April 17, 2025

Language: Английский

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Mayfly algorithm with elementary functions and mathematical spirals for task scheduling in cloud computing system

The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(6)

Published: April 21, 2025

Language: Английский

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A Modular Architecture and a Cost-Model to Estimate the Overhead of Implementing Confidentiality in Cloud Computing Environments

Published: Oct. 23, 2024

Cloud computing has become increasingly popular among organizations. As a result, security major concern in the adoption of cloud environments. To ensure confidentiality and prevent data leakage, organizations have adopted various measures, including sophisticated authentication methods strong cryptography algorithms. However, implementing these measures generates additional overhead that could impact resource consumption performance at user level. This paper proposes modular architecture for full-stack model to estimate implementation costs each component can be used as blueprint implement needed particular scenario resulting overhead. It contributes literature by enabling administrators users leverage based on their needs budget. Preliminary experiments show our cost achieves high level accuracy, up 95%.

Language: Английский

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Secure identity access and data transmission scheme of cloud-assisted intelligent gymnasium

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 115, P. 469 - 478

Published: Dec. 26, 2024

Language: Английский

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