Optimizing Task Offloading with Metaheuristic Algorithms Across Cloud, Fog, and Edge Computing Networks: A Comprehensive Survey and State-of-the-Art Schemes

Sustainable Computing Informatics and Systems, Journal Year: 2025, Volume and Issue: unknown, P. 101080 - 101080

Published: Jan. 1, 2025

Language: Английский

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A Novel LC‐LOA and S³R²GCNN‐Based Dynamic Workflow Process Type Identification and Scheduling in Cloud

Transactions on Emerging Telecommunications Technologies, Journal Year: 2025, Volume and Issue: 36(5)

Published: April 30, 2025

ABSTRACT Workflow scheduling (WS) maps out the processes and manages execution of interdependent works within a process. However, existing studies did not identify workflow process types for efficient WS. Therefore, this paper presents novel LC‐LOA S3R2GCNN‐based dynamic type identification in cloud. Primarily, cloud users register log with server. Afterward, user assigns workflow, followed by attribute extraction. Subsequently, hashcode is generated attributes using THA. Next, deduplication checked. If repeated, it removed from pool; otherwise, given WPTIS. In WPTIS, classifier trained based on data acquisition, graph slicing, extraction, feature selection LC‐LOA, labeling L‐Fuzzy, classification S3R2GCNN. Also, features are extracted server to Eventually, scheduled Linear Congruential Lyrebird Optimization Algorithm (LC‐LOA). The results show that proposed system obtained high accuracy 98.43%, outperforming conventional models.

Language: Английский

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CHPSO: An Efficient Algorithm for Task Scheduling and Optimizing Resource Utilization in the Cloud Environment

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

Published: April 1, 2025

Language: Английский

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Addressing cost and resource variability for big data task scheduling in heterogeneous cloud environments

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

Published: April 20, 2025

Language: Английский

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ALBLA: an adaptive load balancing approach in edge-cloud networks utilizing learning automata

Computing, Journal Year: 2024, Volume and Issue: 107(1)

Published: Dec. 20, 2024

Language: Английский

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