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<p>The cloud federation formation facilitates the effective and smooth sharing of resources across the cloud providers, optimal distribution of workloads, scalability and cost-efficiency. Nevertheless, pricing model differences, Quality of Service (QoS) attributes, and trust management still remain as the barrier to the successful federation building. The current methods of federation formation do not combine trust evaluation reliability into the decentralized setting; most of them lack adaptive QoS optimization. To address these challenges, this study proposes a Decentralized Trust-Aware Cloud Federation Framework that combines metaheuristic optimization with blockchain-based trust. The Self-Adaptive Secretary Bird Optimization Algorithm (SA-SBOA) dynamically allocates resources and optimizes QoS, using adaptive strategies. In parallel, a blockchain-enabled trust layer records and validates CSP trust scores based on three key factors including reliability, reputation, and availability. These scores are securely stored in the blockchain ledger, and determines eligible CSPs for federation participation, reducing risk and enhancing transparency. The experimental results validate that SA-SBOA shows good convergence, and utility values converge to 0.19 for Fed 1, 0.193 for Fed 2, 0.191 for Fed 3, 0.186 for Fed 4, and 0.21 for Fed 5 after 14&#xa0;h of computation, indicating that it is efficient and adaptive. This structure can be further expanded in the future with adaptive trust assessment and real-time federated orchestration based on reinforcement learning to make it more scalable and efficient in decision-making.</p>

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A novel self-adaptive metaheuristic algorithm with qos aware decentralized cloud federation formation based on trusted blockchain

  • 期刊论文

  • 发表日期：

    2026年6月3日

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  • Sandeep Singh Sikarwar,
  • Rakesh Kumar,
  • Benay Kumar Ray

摘要

The cloud federation formation facilitates the effective and smooth sharing of resources across the cloud providers, optimal distribution of workloads, scalability and cost-efficiency. Nevertheless, pricing model differences, Quality of Service (QoS) attributes, and trust management still remain as the barrier to the successful federation building. The current methods of federation formation do not combine trust evaluation reliability into the decentralized setting; most of them lack adaptive QoS optimization. To address these challenges, this study proposes a Decentralized Trust-Aware Cloud Federation Framework that combines metaheuristic optimization with blockchain-based trust. The Self-Adaptive Secretary Bird Optimization Algorithm (SA-SBOA) dynamically allocates resources and optimizes QoS, using adaptive strategies. In parallel, a blockchain-enabled trust layer records and validates CSP trust scores based on three key factors including reliability, reputation, and availability. These scores are securely stored in the blockchain ledger, and determines eligible CSPs for federation participation, reducing risk and enhancing transparency. The experimental results validate that SA-SBOA shows good convergence, and utility values converge to 0.19 for Fed 1, 0.193 for Fed 2, 0.191 for Fed 3, 0.186 for Fed 4, and 0.21 for Fed 5 after 14 h of computation, indicating that it is efficient and adaptive. This structure can be further expanded in the future with adaptive trust assessment and real-time federated orchestration based on reinforcement learning to make it more scalable and efficient in decision-making.