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首页> 外文期刊>Journal of supercomputing >Novel probabilistic resource migration algorithm for cross-cloud live migration of virtual machines in public cloud
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Novel probabilistic resource migration algorithm for cross-cloud live migration of virtual machines in public cloud

机译：用于公共云中虚拟机跨云实时迁移的新型概率资源迁移算法

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摘要

In cloud computing environment, cross-cloud live migration of virtual machines (VMs) is a major concern in these days. Cloud computing provides the users with huge, versatile and on-demand access to a bulk of customizable and configurable registered physical devices or things. It helps organizations or enterprises to share data efficiently by privately owned cloud or by the third-party servers. This type of sharing of bulky data through cloud is more efficient and reliable. In an enterprise environment, one of the essential capabilities of cloud infrastructure is VM migration. VM live migration basically involves the transference of instances that includes the operating system, runtime memory pages and active CPU states from source hub to the destination hub. In this paper, we have discussed on resource allocation algorithm which performs better in utilization of CPU, time and memory. Our proposed algorithm deals with the effective utilization of unoccupied memory, and we have also measured VM memory stack flow of total memory for cloud computing architecture.
机译：在云计算环境中，虚拟机（VM）的跨云实时迁移是当今的主要问题。云计算为用户提供了对大量可定制和可配置的已注册物理设备或事物的巨大，通用和按需访问。它帮助组织或企业通过私有云或第三方服务器有效地共享数据。通过云进行的这种大容量数据共享更加有效和可靠。在企业环境中，虚拟机迁移是云基础架构的一项基本功能。 VM实时迁移基本上涉及实例的转移，这些实例包括操作系统，运行时内存页和活动CPU状态从源集线器到目标集线器。在本文中，我们讨论了一种资源分配算法，该算法在CPU，时间和内存的利用方面表现更好。我们提出的算法处理了空闲内存的有效利用，并且我们还针对云计算架构测量了总内存的VM内存堆栈流。

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