Scholarlink

<p>The core of Cloud Computing utilizes servers for processing and storage of data and applications at distant locations, while taking into account different Quality of Service (QoS) parameters like reliability, bandwidth and response time of Cloud servers. Among these parameters, reliability plays an important role for offering continuous services at the Cloud end. Hence, optimizing the Cloud reliability considering the cost constraint is utmost important. Citing the above fact, we propose a quantum-inspired, hybrid, metaheuristic algorithm named Stochastic Quantum Genetic Algorithm (SQGA) which combines qubit-lie representations of quantum states, quantum rotation operators and stochastic search mechanisms like oscillations and pertubations, for optimizing the reliability of a Cloud network under Cost constraint. It is found that our proposed algorithm displays potential improvements in a consistent way as compared to classical and recent quantum-inspired algorithms on standard benchmark networks such as SNDlib, thereby achieving an average upgradation of Cloud reliability by 0.17.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Network reliability optimization for cloud networks with cost constraints using Stochastic Quantum Genetic Algorithm

  • 期刊论文

  • 发表日期：

    2026年6月29日

查看全文
  • Shashank Mouli Satapathy,
  • Debashreet Das,
  • Vidit Shah,
  • Hriday Agarwal,
  • Abhyudoy Chaki

摘要

The core of Cloud Computing utilizes servers for processing and storage of data and applications at distant locations, while taking into account different Quality of Service (QoS) parameters like reliability, bandwidth and response time of Cloud servers. Among these parameters, reliability plays an important role for offering continuous services at the Cloud end. Hence, optimizing the Cloud reliability considering the cost constraint is utmost important. Citing the above fact, we propose a quantum-inspired, hybrid, metaheuristic algorithm named Stochastic Quantum Genetic Algorithm (SQGA) which combines qubit-lie representations of quantum states, quantum rotation operators and stochastic search mechanisms like oscillations and pertubations, for optimizing the reliability of a Cloud network under Cost constraint. It is found that our proposed algorithm displays potential improvements in a consistent way as compared to classical and recent quantum-inspired algorithms on standard benchmark networks such as SNDlib, thereby achieving an average upgradation of Cloud reliability by 0.17.