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相关实验视频

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The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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使用哈里斯·霍克斯优化在云计算中的基于信任的任务调度算法.

Sudheer Mangalampalli1, Ganesh Reddy Karri1, Amit Gupta2

  • 1School of Computer Science and Engineering, VIT-AP University, Amaravati 522237, India.

Sensors (Basel, Switzerland)
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PubMed
概括
此摘要是机器生成的。

本研究介绍了一种基于信任的,容错的,用于云计算的任务调度算法 (FTTATS). 通过最大限度地减少任务失败和延伸,提高服务可用性和成功率,FTTATS提高了可靠性和效率.

关键词:
哈里斯·霍克斯优化优化基于SLA的信任参数可用性的可用性.失败率是因为失败率.成功率 成功率 的成功率.

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科学领域:

  • 云计算 云计算 云计算
  • 分布式系统 分布式系统
  • 人工智能的人工智能

背景情况:

  • 云计算服务需要高可用性和容错性.
  • 单点故障在云环境中仍然是一个挑战.
  • 有效的任务安排对于可靠性和用户信任至关重要.

研究的目的:

  • 为云计算提出一个容错,基于信任的任务调度算法 (FTTATS).
  • 提高云服务的可靠性和效率.
  • 通过更好的服务水平协议 (SLA) 参数履行来提高用户信任.

主要方法:

  • 开发了一个容错的基于信任的任务调度算法 (FTTATS).
  • 利用哈里斯·霍克斯优化进行调度设计.
  • 采用CloudSim进行模拟,使用合成和现实世界的数据.

主要成果:

  • 与ACO,PSO和GA相比,FTTATS显著降低了产量.
  • 实现了故障率的大幅降低 (高达65.4%).
  • 改善了关键的SLA参数,包括可用性 (高达35.71%) 和成功率 (高达52.69%).

结论:

  • 拟议的FTTATS算法在容错和任务调度方面提供了卓越的性能.
  • FTTATS提高了云服务的可靠性,效率和用户信任.
  • 该算法在现有最先进的方法上显示了显著的改进.