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QoS and performance optimization with VM provisioning approach in Cloud computing environment

机译:在云计算环境中使用VM配置方法进行QoS和性能优化

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Cloud computing is the computing paradigm which delivers IT resources as a service, hence user are free from setting up the infrastructure and managing hardware etc. Cloud Computing provides dynamic provisioned resources and presented as one or more integrated computing resources based on constraints. The process of provisioning in Clouds requires the application provisioner to compute the best software and hardware configuration so as to ensure that Quality of Services (QoS) target of application services are achieved, without compromising efficiency and utilization of whole system. This paper presents a dynamic provisioning technique, adapting to peak-to-peak workload changes related to applications to offer end-users guaranteed Quality of Services (QoS) in highly dynamic environments. Behavior and performance of applications and Cloud-based IT resources are modeled to adaptively serve end-user requests. Analytical performance (queuing network system model) and workload information are used to supply intelligent input about the physical infrastructure which causes improvement in efficiency. VM provisioning technique detects changes in workload intensity that occurs over time and makes appropriate changes in allocations of multiple virtualized IT resources to achieve application QoS targets.
机译:云计算是将IT资源作为服务交付的计算范例,因此用户无需建立基础结构和管理硬件等。云计算提供动态预配置的资源,并根据限制显示为一个或多个集成计算资源。在Clouds中进行供应的过程要求应用程序供应商计算最佳的软件和硬件配置,以确保实现应用程序服务的服务质量(QoS)目标,而不损害整个系统的效率和利用率。本文提出了一种动态配置技术,该技术可适应与应用程序相关的峰峰值工作负载变化,从而在高度动态的环境中为最终用户提供有保证的服务质量(QoS)。对应用程序的行为和性能以及基于云的IT资源进行建模,以适应性地满足最终用户的请求。分析性能(排队网络系统模型)和工作负载信息用于提供有关物理基础结构的智能输入,从而提高效率。 VM配置技术检测随时间变化的工作负载强度变化,并对多个虚拟化IT资源的分配进行适当的更改,以实现应用程序QoS目标。

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