Secure and Efficient Container Scheduling in Multi-Cloud Using an Elliptic Curve-Based Digital Signature Algorithm

Komala Rangappa; Arun Kumar Banavara Ramaswamy; Shreyas Arun Kumar

doi:10.48084/etasr.14329

Authors

Komala Rangappa Department of Master of Computer Applications, VTU Research Centre, BMS Institute of Technology & Management, Yelahanka, Bengaluru, India | Department of Computer Applications, M.S. Ramaiah Institute of Technology, Bengaluru, India
Arun Kumar Banavara Ramaswamy Department of Information Science and Engineering, BMS Institute of Technology & Management, Yelahanka, Bengaluru, India
Shreyas Arun Kumar Department of Computer Science and Engineering, Sai Vidya Institute of Technology, Bengaluru, India

Volume: 16 | Issue: 1 | Pages: 31108-31116 | February 2026 | https://doi.org/10.48084/etasr.14329

Received: 26 August 2025 | Revised: 16 October 2025 | Accepted: 4 November 2025 | Online: 9 February 2026
Corresponding author: Komala Rangappa

Abstract

In modern application deployment, containers have become essential due to their lightweight structure and efficient virtualization capabilities. In this domain, container scheduling plays a critical role in effectively assigning workloads to various computing nodes. To address node imbalances and ensure efficient deployment, this study proposes a novel two-phase container scheduling framework that enhances workload allocation and overall system performance. The proposed Makespan-Aware Multi-Task Scheduling with Deadline Restrictions (MAMTS-DR) model treats the scheduling task as a constrained optimization problem, incorporating diverse objective functions aimed at improving server utilization and reducing overall energy usage. To protect the privacy of containers during migration, the model integrates the Elliptic Curve Digital Signature Algorithm (ECDSA) to ensure a secure scheduling environment. In addition, the associated encryption and migration overheads are included in the optimization model. By incorporating container-specific attributes through the proposed attribute-based encryption framework, the proposed approach ensures both security and optimal performance, as the strategic selection of containers and destination nodes further promotes equilibrium in cloud-hosted clusters.

Keywords:

containers scheduling, deadline restrictions, digital signature algorithm, elliptic curve, makespan-aware multi-task scheduling

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