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Vol. 13 No. 02 (2026)
Volume 13 Issue 03

Articles

A Synergistic Metaheuristic Framework for Secure Task Scheduling and Resource Allocation in Heterogeneous IoT-Cloud Ecosystems

Published 2026-02-28

  • Dr. Alistair Vance

Dr. Alistair Vance
Department of Computer Science and Engineering, University of Strathclyde, Glasgow, United Kingdom

Abstract

The rapid proliferation of Internet of Things (IoT) devices has fundamentally altered the landscape of distributed computing, necessitating robust architectures that bridge the gap between edge perception and cloud-based analytical power. However, the inherent constraints of IoT nodes-specifically limited energy reserves, processing capabilities, and memory-create significant bottlenecks when managing high-volume data streams and complex task dependencies. This research presents an integrated conceptual framework that addresses the dual challenges of operational efficiency and network security within IoT-Cloud environments. By synthesizing principles from nature-inspired metaheuristic algorithms, specifically the Whale Optimization Algorithm (WOA) and the Grey Wolf Optimizer (GWO), this study proposes a hybrid approach for effectual job scheduling and resource distribution. Furthermore, the article explores the critical integration of intrusion detection systems (IDS) as a non-negotiable component of the scheduling lifecycle. Through an extensive theoretical elaboration of emperor penguin colony optimization, flower pollination mechanisms, and golden jackal behavior, we analyze how decentralized intelligence can optimize load balancing while maintaining a high defense posture against evolving cyber threats. The results suggest that hybridizing bio-inspired search strategies significantly reduces task latency and energy consumption while enhancing the detection accuracy of network anomalies. This comprehensive analysis provides a foundational roadmap for developing resilient, self-optimizing distributed systems capable of sustaining the next generation of smart infrastructure.

Keywords

Internet of Things, Cloud Computing, Resource Allocation, Metaheuristic Optimization

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