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Fault tolerance in cloud computing environment: A systematic survey

机译:云计算环境中容错:系统调查

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摘要

Fault tolerance is among the most imperative issues in cloud to deliver reliable services. It is difficult to implement due to dynamic service infrastructure, complex configurations and various interdependencies existing in cloud. Extensive research efforts are consistently being made to implement the fault tolerance in cloud. Implementation of a fault tolerance policy in cloud not only needs specific knowledge of its application domain, but a comprehensive analysis of the background and various prevalent techniques also. Some recent surveys try to assimilate the various fault tolerance architectures and approaches proposed for cloud environment but seem to be limited on some accounts. This paper gives a systematic and comprehensive elucidation of different fault types, their causes and various fault tolerance approaches used in cloud. The paper presents a broad survey of various fault tolerance frameworks in the context of their basic approaches, fault applicability, and other key features. A comparative analysis of the surveyed frameworks is also included in the paper. For the first time, on the basis of an analysis of various fault tolerance frameworks cited in the present paper as well as included in the recently published prime surveys, a quantified view on their applicability is presented. It is observed that primarily the checkpoint-restart and replication oriented fault tolerance techniques are used to target the crash faults in cloud.
机译:容错是云中最令人遗憾的问题是提供可靠的服务。由于动态服务基础架构,复杂的配置和云中存在的各种相互依赖性,难以实现。广泛的研究努力,始终如一地实现云中的容错。在云中实现容错策略不仅需要特定的应用领域的知识,而且还需要对背景和各种流行技术进行全面分析。最近的一些调查旨在吸收云环境所提出的各种容错架构和方法,但似乎有限于某些帐户。本文提供了对不同故障类型的系统和全面阐明,其原因和云中使用的各种容错方法。本文在其基本方法,故障适用性和其他关键特征的背景下对各种容错框架进行了广泛的调查。该纸张还包括对调查框架的比较分析。在本文中引用的各种容错框架以及最近发表的主要调查中的分析,提出了对其适用性的量化观点的第一次。观察到,主要是CheckPoint-Restart和复制的面向容错技术用于针对云中的崩溃故障。

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