AN ADAPTIVE HYBRID SCHEDULING APPROACH FOR SUSTAINABLE AND RELIABLE CLOUD SERVICES

Title

AN ADAPTIVE HYBRID SCHEDULING APPROACH FOR SUSTAINABLE AND RELIABLE CLOUD SERVICES

Creator

Bhatt, Rahul; Mehra, Ritika; Upreti, Kamal

Description

The modern cloud computing systems have to plan the heterogeneous workloads and balance performance effectiveness, service availability, and sustainability. In this study, an adaptive hybrid scheduling framework is developed Adaptive Ant-guided Min-Max (AAMM) combining ant-guided optimization with dynamic Min-Min and Max-Min in deciding how to allocate cloud tasks as a multi-objective. The scheduler jointly evaluates task completion time, the likelihood of Service Level Agreement violations, energy consumption, and monetary cost within a unified scoring framework, enabling informed trade-offs among competing objectives. AAMM is assessed based on a real disaggregated Deep Learning Recommendation Model workload of 1,544 heterogeneous tasks, running on heterogeneous virtual machines. Comparative experiments are done with Min-Min, Max-Min and ACO-guided Min-Min scheduling strategies. According to experimental findings, the suggested approach has been very effective in reducing energy per task, cost per task, SLA violations are significantly lowered, and flow time stability is enhanced. Though moderate growth in the makespan is witnessed, the accompanying trade-off has created equal distribution of resources and service reliability. 2026 Academy and Industry Research Collaboration Center (AIRCC). All rights reserved.

Source

International Journal of Computer Networks and Communications;Volume;18;Issue;2;pp.39-40

Date

01-01-2026

Publisher

Academy and Industry Research Collaboration Center (AIRCC)

Subject

Adaptive scheduling; Cloud computing; Energy-efficient cloud computing, Adaptive Ant-guided MinMax (AAMM); Multi-objective optimization; SLA-aware systems; Task scheduling

Coverage

Bhatt R., School of Engineering & Computing, Dev Bhoomi Uttarakhand University, Uttarakhand, Dehradun, India; Mehra R., School of Engineering & Computing, Dev Bhoomi Uttarakhand University, Uttarakhand, Dehradun, India; Upreti K., Department of Computer Science, Christ University, Delhi NCR Campus, Ghaziabad, India

Rights

All Open Access; Gold Open Access

Relation

ISSN: 9752293;

Format

online

Language

English

Type

Article

Identifier

https://doi.org/10.5121/ijcnc.2026.18203

https://www.scopus.com/pages/publications/105035179058?origin=resultslist