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A novel high adaptive fault tolerance model in real time cloud computing

机译:实时云计算中的新型高自适应容错模型

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Now-a-days, cloud computing is being used in a variety of fields, whether it is storage, computation, education etc. It has emerged from a larger number of technologies like utility computing, grid computing, cluster computing etc. It offers a number of advantages like on-demand access, resource pool, device independence etc. Also, it suffers from various cons like security, workflow management, fault tolerance. Here, a novel model (HAFTRC) has been proposed, which is providing high adaptive fault tolerance in real time cloud computing. The model is based on computing the reliabilities of the virtual machines on the basis of the cloudlets, mips, ram and bandwidth etc. Whosoever virtual machine has the highest reliability is chosen as the winning virtual machine. If at the end, there are two virtual machines, whose reliabilities comes out to be same, then the winning machine is chosen base on the priority that is assigned to them.
机译:如今,云计算已在各种领域中使用,无论是存储,计算,教育还是其他领域。它已经从效用计算,网格计算,集群计算等众多技术中脱颖而出。它具有许多优点,例如按需访问,资源池,设备独立性等。此外,它还具有各种缺点,例如安全性,工作流管理,容错能力。在此,提出了一种新型模型(HAFTRC),该模型在实时云计算中提供了很高的自适应容错能力。该模型基于基于小云,mips,内存和带宽等计算虚拟机的可靠性。选择可靠性最高的虚拟机作为获胜的虚拟机。如果最后有两个虚拟机,它们的可靠性完全相同,则根据分配给它们的优先级选择获胜的计算机。

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