Cloud Service Selection Based on Chaos Quantum Immune Algorithm

Chao Zhou, Ping Pan, Ping Yang, Liang Huang
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引用次数: 2

Abstract

The problem we are trying to solve in this paper is the selection of cloud service. Cloud service is a new kind of network service based on cloud computing platform. In the face of dynamic and diverse user demands, it is not only concerned to the quality of service (QoS), but also the search efficiency. First, this paper presents the model of cloud service selection based on QoS. Second, we propose the chaos quantum immune algorithm to address the problem so as to avoid the drawbacks in terms of selection inefficiency, algorithm instability and heavy time overhead. It can utilize the characteristics of quantum bit encoding and the quantum rotation gate to optimize the calculation of service selection. The results obtained in this research include the proposed method shows performance benefits compared with classic solutions by simulation experiment. It is not only theoretically but also practically feasible to realize the selection of cloud service.
基于混沌量子免疫算法的云服务选择
本文所要解决的问题是云服务的选择。云服务是一种基于云计算平台的新型网络服务。面对动态多样的用户需求,它不仅关系到服务质量(QoS),而且关系到搜索效率。首先,提出了基于QoS的云服务选择模型。其次,我们提出了混沌量子免疫算法来解决这一问题,从而避免了混沌量子免疫算法在选择效率低、算法不稳定和时间开销大等方面的缺点。它可以利用量子比特编码和量子旋转门的特性来优化业务选择的计算。研究结果表明,通过仿真实验,该方法与经典方法相比具有明显的性能优势。实现云服务的选择不仅在理论上可行,而且在实践上也是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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