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Scalability and Performance of Web Applications in a Compute Cloud

机译:计算云中Web应用程序的可伸缩性和性能

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Scalability and performance are key factors to the success of many enterprises involved in doing business on the web. Maintaining sufficient web resources just to meet performance during peak demands can be costly. Compute Cloud provides a powerful environment to allow dynamic scaling of web applications without the needs for user intervention. In this paper, we present a case study on the scalability and performance of web applications in a Cloud. We describe a novel dynamic scaling architecture with a front-end load-balancer for routing user requests to web applications deployed on virtual machine instances with the goal of maximizing resource utilization in instances while minimizing total number of instances. A scaling algorithm for automated provisioning of virtual resources based on threshold number of active user sessions will be introduced. The on-demand capability of the Cloud to rapidly provision and dynamically allocate resources to users will be discussed. Our work has demonstrated the compelling benefits of a Cloud which is capable of sustaining performance upon sudden load surges, delivering satisfactory IT resources on-demands to users, and maintaining high resource utilization, thus reducing infrastructure and management costs.
机译:可伸缩性和性能是许多从事网络业务的企业成功的关键因素。维持足够的Web资源以仅在高峰需求期间满足性能可能是昂贵的。 Compute Cloud提供了强大的环境,可以动态扩展Web应用程序,而无需用户干预。在本文中,我们针对云中Web应用程序的可伸缩性和性能进行了案例研究。我们描述了一种带有前端负载均衡器的新颖动态扩展架构,该架构用于将用户请求路由到部署在虚拟机实例上的Web应用程序,目的是最大化实例中的资源利用率,同时最大程度地减少实例总数。将介绍基于活动用户会话的阈值数量自动配置虚拟资源的缩放算法。将讨论云的按需功能,以快速为用户提供资源并动态分配资源。我们的工作证明了云的显着优势,它能够在突然的负载激增时维持性能,按需向用户提供令人满意的IT资源,并保持高资源利用率,从而降低基础架构和管理成本。

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