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Web Scaling Frameworks for Web Services in the Cloud

机译:云中Web服务的Web扩展框架

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Nowadays, web services have to accommodate a significant and ever-increasing number of requests due to high interactivity of current applications. Although the built-in elasticity offered by a cloud can mitigate this challenge, it is highly desirable that applications can be built in a scalable fashion. State-of-the-art Web Application Frameworks (WAFs) focus on the creation of application logic and do not offer integrated cloud scaling concepts. As the creation of such scaling systems is very complex, we proposed in our recent work the concept of Web Scaling Frameworks (WSFs) in order to offload scaling to another layer of abstraction. In this work, a detailed design for WSFs including necessary modules, interfaces and components is presented. A mathematical model used for performance rating is evaluated and enhanced on a computing cluster of 42 machines. Traffic traces from over 25 million real-world applications are analysed and evaluated on the cluster to compare the WSF performance with a traditional scaling approach. The results show that the application of WSFs can substantially reduce the number of total machines needed for three representative real-world applications-a social network, a trip planner and the FIFA World Cup 98 website-by 32, 63 and 92 percent, respectively.
机译:如今,由于当前应用程序的高交互性,Web服务必须适应大量且不断增长的请求。尽管云提供的内置弹性可以缓解这一挑战,但是非常希望可以以可伸缩的方式构建应用程序。最新的Web应用程序框架(WAF)专注于创建应用程序逻辑,并且不提供集成的云扩展概念。由于此类缩放系统的创建非常复杂,因此我们在最近的工作中提出了Web缩放框架(WSF)的概念,以便将缩放卸载到另一抽象层。在这项工作中,将介绍WSF的详细设计,包括必要的模块,接口和组件。在42台计算机的计算集群上评估和增强了用于性能评级的数学模型。在群集上分析和评估了来自超过2500万个实际应用程序的流量跟踪,以将WSF性能与传统的扩展方法进行比较。结果表明,WSF的应用可以显着减少三个代表性的实际应用程序(社交网络,旅行计划者和FIFA 98世界杯网站)所需的总机器数量,分别减少32%,63%和92%。

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