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Fault-tolerant system design on cloud logistics by greener standbys deployment with Petri net model

机译:通过使用Petri网模型部署更环保的备用服务器来实现云物流的容错系统设计

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摘要

The cost-aware exploration on enhancing fault-tolerant becomes an important issue of service quality from cloud platform. To approach this goal with greener design, a novel server backup strategy is adopted with two types of standby server with warm standby and cold standby configurations. On such two-level standby scheme, cost elaboration has been explored in terms of deployment ratio between warm standbys and cold standbys. The cold standbys provide a greener power solution than those of conventional warm standbys. The optimal cost policy has been proposed to maintain regulated quality of service for the cloud customers. On qualitative study, a Petri net is developed and designed to visualize the whole system operational flow. On quantitative research for decision support, the theory of finite source queue is elaborated and relevant comprehensive mathematical analysis on cost pattern has been made in detail. Relevant simulations have been conducted to validate the proposed cost optimization model as well. On green contribution, the saving of power consumption has been estimated on the basis of switching warm standbys into cold standbys, which amounts for the reduction of CO2 emission. Hence the proposed approach indeed provides a feasibly standby architecture to meet cloud logistic economy with greener deployment. (C) 2017 Published by Elsevier B.V.
机译:增强容错能力的成本意识探索成为云平台服务质量的重要问题。为了通过更环保的设计来实现此目标,采用了一种新颖的服务器备份策略,该策略采用两种类型的备用服务器,分别具有热备用和冷备用配置。在这样的两级备用方案中,已经根据热备用和冷备用之间的部署比率来研究成本细化。与常规的热备份相比,冷的备份提供了更环保的电源解决方案。已经提出了最佳成本策略来为云客户维持受监管的服务质量。在定性研究中,开发并设计了Petri网以可视化整个系统的操作流程。在决策支持的定量研究中,阐述了有限资源排队的理论,并对成本模式进行了详细的综合数学分析。已经进行了相关仿真以验证所提出的成本优化模型。关于绿色贡献,已基于将热待机切换为冷待机的方式来估计功耗的节省,这相当于减少了CO2排放。因此,所提出的方法确实提供了可行的备用架构,可以通过更绿色的部署来满足云物流的经济需求。 (C)2017由Elsevier B.V.发布

著录项

  • 来源
    《Neurocomputing》 |2017年第20期|90-100|共11页
  • 作者单位

    Tunghai Univ, Dept Comp Sci, 1727,Sect 4, Taichung, Taiwan;

    Foshan Univ, Sch Math & Big Data, Foshan, Guangdong, Peoples R China|Chung Hua Univ, Dept Comp Sci & Informat Engn, 707,Sec 2,WuFu Rd, Hsinchu, Taiwan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cloud computing; Fault-tolerant system; Petri nets; Cost optimization;

    机译:云计算;容错系统;Petri网;成本优化;

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