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Dynamic virtual machine allocation policy in cloud computing complying with service level agreement using CloudSim

机译:云计算中的动态虚拟机分配策略符合Cloudsim的服务级别协议

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Cloud computing provides services over the internet and provides application resources and data to the users based on their demand. Base of the Cloud Computing is consumer provider model. Cloud provider provides resources which consumer can access using cloud computing model in order to build their application based on their demand. Cloud data center is a bulk of resources on shared pool architecture for cloud user to access. Virrualization is the heart of the Cloud computing model, it provides virtual machine as per application specific configuration and those applications are free to choose their own configuration. On one hand, there is huge number of resources and on other hand it has to serve huge number of requests effectively. Therefore, resource allocation policy and scheduling policy play very important role in allocation and managing resources in this cloud computing model. This paper proposes the load balancing policy using Hungarian algorithm. Hungarian Algorithm provides dynamic load balancing policy with a monitor component. Monitor component helps to increase cloud resource utilization by managing the Hungarian algorithm by monitoring its state and altering its state based on artificial intelligent. CloudSim used in this proposal is an extensible toolkit and it simulates cloud computing environment.
机译:云计算通过Internet提供服务,并根据其需求为用户提供应用程序资源和数据。云计算的基础是消费者提供者模型。云提供商提供了消费者可以使用云计算模型访问的资源,以根据其需求构建其应用程序。云数据中心是用于访问云用户的共享池架构上的大部分资源。 Virionization是云计算模型的核心,它根据应用程序提供虚拟机,具体配置,这些应用程序可以自由选择自己的配置。一方面,有大量的资源,另一方面,它必须有效地服务大量的请求。因此,资源分配策略和调度策略在该云计算模型中的分配和管理资源中起着非常重要的作用。本文提出了使用匈牙利算法的负载平衡策略。匈牙利算法提供了具有监视器组件的动态负载平衡策略。通过监控其状态并基于人工智精改变其状态,通过管理匈牙利算法来帮助提高云资源利用率,有助于提高云资源利用。在此提议中使用的CloudSim是一个可扩展的工具包,它模拟了云计算环境。

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