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Service reliability modeling of the IT infrastructure of active-active cloud data center

机译:主动-主动云数据中心IT基础架构的服务可靠性建模

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With the increasing use in different areas, cloud data center has gradually showed its superiority in availability, resource utilization and disaster recovery during the service delivery, compared with traditional data center. According to SLA (Service-Level Agreement), the demand on service reliability and other related indexes are put forward. Despite efforts at fault tolerance and redundancy, the occurrence of failure in data center is still inevitable. Hence, there is a need to model and analyze the service reliability of data center. However, traditional method of reliability modeling is no longer applicable because of the complicated cloud control flows, massive-scale service sharing, and complexity real-word infrastructures. This paper proposes a new approach to model the service reliability of the IT infrastructure of active-active data center, which is a typical form of cloud data center. Firstly, we divide the process of service delivery into two stages - the request stage and execution stage. Then, two models are built for two stages, respectively. For request stage, we use the Queuing Theory and Monte Carlo Method while for execution stage, the Graph Theory and Monte Carlo Method are adopted. Based on the proposed model, the service reliability of data center can be calculated. With the data of a company active-active data center as a case study, we finally demonstrate the applicability and correctness of the model.
机译:随着在不同领域中使用的增加,与传统数据中心相比,云数据中心在服务交付过程中已逐渐显示出其在可用性,资源利用率和灾难恢复方面的优势。根据SLA(服务水平协议),提出了对服务可靠性的要求以及其他相关指标。尽管在容错和冗余方面做出了努力,但是在数据中心发生故障仍然是不可避免的。因此,需要对数据中心的服务可靠性进行建模和分析。但是,由于复杂的云控制流程,大规模服务共享以及复杂的实词基础结构,传统的可靠性建模方法不再适用。本文提出了一种新的方法来对主动-主动数据中心的IT基础架构的服务可靠性进行建模,这是云数据中心的一种典型形式。首先,我们将服务交付过程分为两个阶段-请求阶段和执行阶段。然后,分别为两个阶段构建两个模型。在请求阶段,我们使用排队论和蒙特卡洛方法,而在执行阶段,则采用图论和蒙特卡洛方法。基于该模型,可以计算出数据中心的服务可靠性。以一个公司的主动-主动数据中心的数据为案例研究,我们最终证明了该模型的适用性和正确性。

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