基于服务需求资源需求的近优虚拟机布局模式聚类
Near-Optimal Virtual Machine Packing Based on Resource Requirement of Service Demands Using Pattern Clustering
摘要：
随着云计算的扩展和组织关于使用云计算的运动的积极前景以及它们对这种有价值的处理方法的扩展利用，以及云基础设施提供商提供的关于减少处理资源的成本的解决方案，在云环境中组织资源的问题变得非常重要。云基础设施客户的主要关注点之一是他们缺乏对不同时间段所需处理资源数量的了解。管理人员和技术人员都在努力充分利用云计算中资源的可伸缩性和灵活性。主要的挑战是根据服务的传入请求的数量来计算每个时刻所需的处理资源的数量。通过扣除这些项目的准确数量，可以准确估计每个时刻的请求。本文旨在介绍一种云资源的自动伸缩模型，以减少云基础设施客户租用资源的成本。因此，我们首先全面解释该提案和模型的主要组成部分。然后通过聚类计算模型的不可见性，并介绍了各个组成部分在不同阶段的工作方式，
英文摘要：
Upon the expansion of Cloud Computing and the positive outlook of organizations with regard to the movements towards using cloud computing and their expanding utilization of such valuable processing method, as well as the solutions provided by the cloud infrastructure providers with regard to the reduction of the costs of processing resources, the problem of organizing resources in a cloud environment gained a high importance. One of the major preoccupations of the minds of cloud infrastructure clients is their lack of knowledge on the quantity of their required processing resources in different periods of time. The managers and technicians are trying to make the most use of scalability and the flexibility of the resources in cloud computing. The main challenge is with calculating the amount of the required processing resources per moment with regard to the quantity of incoming requests of the service. Through deduction of the accurate amount of these items, one can have an accurate estimation of the requests per moment. This paper aims at introducing a model for automatic scaling of the cloud resources that would reduce the cost of renting the resources for the clients of cloud infrastructure. Thus, first we start with a thorough explanation of the proposal and the major components of the model. Then through calculating the incomings of the model through clustering and introducing the way that each of these components work in different phases,...
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
