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PSO Based Hierarchical Task Scheduling with QoS Preference Awareness in Cloud Storage Environment

机译：云存储环境中基于PSO的QoS偏好感知的分层任务调度

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摘要

Most existing task scheduling algorithms in cloud storage fail to aware users QoS preference. In addition, these algorithms result in low user satisfaction rate for they do not consider the characteristics of cloud storage. In order to address these problems, the "optimal order comparison method" is used to aware users ' QoS preference, and also helps experts use their professional knowledge to decide the weight of QoS classes. We redefined the fitness function of the particle swarm optimization (PSO) algorithm by using these weights and proposed the "PSO based hierarchical task scheduling with QoS preference awareness: PSO-HQoSPA" algorithm. By consider both user and expert experience, the method can aware users' QoS preference and deal with multiple QoS requirements. The simulation results show our method achieved acceptable user satisfaction rate, and the same time maintains the efficiency as traditional PSO based method.
机译：云存储中大多数现有的任务调度算法都无法感知用户的QoS偏好。另外，这些算法由于不考虑云存储的特性，导致用户满意度较低。为了解决这些问题，“最优顺序比较方法”用于了解用户的QoS偏好，还可以帮助专家使用他们的专业知识来确定QoS类别的权重。我们使用这些权重重新定义了粒子群优化（PSO）算法的适应度函数，并提出了“基于QoS偏好感知的基于PSO的分层任务调度：PSO-HQoSPA”算法。通过考虑用户和专家的经验，该方法可以知道用户的QoS偏好并处理多种QoS要求。仿真结果表明，该方法达到了满意的用户满意度，同时保持了传统基于PSO的方法的有效性。

著录项

  • 来源
    《Journal of software》 |2014年第9期|2393-2400|共8页
  • 作者

    Juan Wang; Fei Li; Luqiao Zhang; Yuanyuan Huang;

  • 作者单位

    School of Information Security Engineering, Chengdu University of Information Technology, Chengdu, China;

    School of Information Security Engineering, Chengdu University of Information Technology, Chengdu, China;

    School of Information Security Engineering, Chengdu University of Information Technology, Chengdu, China;

    School of Information Security Engineering, Chengdu University of Information Technology, Chengdu, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    multi-QoS constraints; QoS preference; task scheduling; cloud storage; particle swarm optimization;

    机译：多QoS约束;QoS首选项;任务调度;云储存;粒子群优化;

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