An Adaptive Fault Reduction Scheme to Provide Reliable Cloud Computing Environment

M. Damodhar, S. Poojitha
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引用次数: 6

Abstract

The Now a days Cloud technologies has become an essential trend in the market of information technology. Virtualization and Internet-based Cloud computing leads to different kinds of failures to arise and hence, leads to the requirement for reliability and availability has become an essential issue. To make ensure for reliability and availability of cloud technologies, a scheme for fault tolerance need to be developed and implemented. As the majority of the early schemes for fault tolerance were focused on the utilization of only one way to tolerate faults. This paper presents an adaptive scheme that deals with the difficulty of fault tolerance in various cloud computing environments. The projected scheme employs adaptive behavior during the selection of replication and fine-grained checkpointing methods for attaining a reliable cloud platform that can handle different client requests. In addition to this the algorithm also determines the best suited fault tolerance method to every designated virtual machine. As the proposed scheme adapts fault tolerance methods it improves the performance of the cloud in terms of availability, throughput, cloud overheads due to huge number of check points and maintenance cost.
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一种自适应故障减少方案,提供可靠的云计算环境
如今,云技术已经成为信息技术市场的一个重要趋势。虚拟化和基于internet的云计算导致了不同类型的故障的出现,因此,导致对可靠性和可用性的需求已经成为一个必不可少的问题。为了确保云技术的可靠性和可用性,需要开发和实现容错方案。由于大多数早期的容错方案都侧重于只利用一种容错方式。针对各种云计算环境下的容错困难,提出了一种自适应方案。该方案在选择复制和细粒度检查点方法时采用自适应行为,以获得可以处理不同客户端请求的可靠云平台。此外,该算法还确定了最适合每个指定虚拟机的容错方法。由于该方案采用了容错方法,在可用性、吞吐量、大量检查点造成的云开销和维护成本等方面提高了云的性能。
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