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<p>Discovering a strategy to maximize both quality and cost while allocating resources in a multi-cloud environment is a challenging research issue. Cloud service providers (CSPs) should consider quality factors to improve customer service. There is no numerical trust-performance trade-off in the studies that are currently available.This paper proposes a Trust-Aware Spring Search Optimization (TSSO) model that accounts for delay and trust. A few traits and metrics allow for the quantitative assessment of a CSP’s degree of trust. When assessing trust, reliability, effectiveness, and data integrity is taken into account. The goal is to reduce communication lag and increase allocation trust while minimizing it. The current resource limitations are combined with the CSP’s prior credentials in the proposed TSSO architecture. The algorithm known as spring search optimization is utilized to computationally address the problem. Experiments show that the suggested TSSO technique is both applicable and successful. The outcomes guarantee that the suggested qualities are useful in estimating the trust evaluation for various CSPs. Furthermore, adding trust to the resource allocation framework helps to improve trust and decrease delays in the allocation process by allocating resources appropriately.</p>

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A novel approach for allocating resources in a multi-cloud environment

  • 期刊论文

  • 发表日期：

    2025年2月13日

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  • Sonia Munjal,
  • Prem Colaco,
  • Divya Sharma,
  • Sourav Rampal,
  • D. Ganesh,
  • Garima

摘要

Discovering a strategy to maximize both quality and cost while allocating resources in a multi-cloud environment is a challenging research issue. Cloud service providers (CSPs) should consider quality factors to improve customer service. There is no numerical trust-performance trade-off in the studies that are currently available.This paper proposes a Trust-Aware Spring Search Optimization (TSSO) model that accounts for delay and trust. A few traits and metrics allow for the quantitative assessment of a CSP’s degree of trust. When assessing trust, reliability, effectiveness, and data integrity is taken into account. The goal is to reduce communication lag and increase allocation trust while minimizing it. The current resource limitations are combined with the CSP’s prior credentials in the proposed TSSO architecture. The algorithm known as spring search optimization is utilized to computationally address the problem. Experiments show that the suggested TSSO technique is both applicable and successful. The outcomes guarantee that the suggested qualities are useful in estimating the trust evaluation for various CSPs. Furthermore, adding trust to the resource allocation framework helps to improve trust and decrease delays in the allocation process by allocating resources appropriately.