Multi objective energy aware integrated cloud scheduling with a consensus-based security

Title

Multi objective energy aware integrated cloud scheduling with a consensus-based security

Creator

Pasha, Fairoz; Natarajan, Jayapandian

Description

This research presents a multi-objective, energy-aware workflow scheduling framework for heterogeneous cloudedge environments that addresses both efficiency and data integrity challenges. Conventional encryption-based security mechanisms, although effective in protecting data during task offloading, often introduce significant computational and communication overhead, leading to degraded system performance. To overcome this limitation, this work proposes the consensus security-integrity and quality-aware workflow scheduler (CSIQA-WS), which integrates energy-aware scheduling with a lightweight, consensus-driven security mechanism. The model incorporates automatic service management and an attack prevention module to detect and mitigate malicious behavior during inter-node data transmission while maintaining quality of service (QoS) constraints. A dynamic coordination between edge and cloud resources enables efficient workload distribution and robust resource utilization. Experimental evaluation using scientific workflow benchmarks demonstrates that CSIQA-WS significantly reduces processing time and energy consumption compared to existing approaches. The proposed model achieves up to 92.29% reduction in processing time and consistently improves overall QoS while preserving data integrity in dynamic execution environments. These results indicate that CSIQA-WS provides an effective and scalable solution for secure and energy-efficient workflow scheduling in modern cloudedge systems. 2026 Institute of Advanced Engineering and Science. All rights reserved.

Source

Bulletin of Electrical Engineering and Informatics;Volume;15;Issue;2;pp.1313-1323

Date

01-01-2026

Publisher

Institute of Advanced Engineering and Science

Subject

Cloud computing; Consensus-based security; Dynamic scheduling; Multi-objective; Workflow

Coverage

Pasha F., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bangalore, India, Department of Computer Science Engineering, School of Technology, Maulana Azad National Urdu University Polytechnic, Bangalore, India; Natarajan J., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bangalore, India

Rights

All Open Access; Gold Open Access

Relation

ISSN: 20893191;

Format

online

Language

English

Type

Article

Identifier

https://doi.org/10.11591/eei.v15i2.9885

https://www.scopus.com/pages/publications/105036280214?origin=resultslist