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

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