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Fault tolerance and maintaining service response under unanticipated load conditions

机译:在意外负载条件下的容错能力和维护服务响应

摘要

A system and method is disclosed for allocating servers across a large number of applications and for providing a predictable and consistent service response under conditions where the use of the service and associated loads is driven by unknown factors. The invention provides fault tolerance within an application through multiple resources per application and fault tolerance across applications by limiting the overlap in resources between applications. The computational load on the service may include both individual processing time due to the complexity of a single request and the number of requests. Complexity may be unpredictable because the service is self-provisioned and may allow service users to create an arbitrary sequence of compound processing steps. The number of requests may vary due to a variety of events, including daily, seasonal, or holidays, or factors driven more directly by the user of the service, such as sales, advertising, or promotions. The invention throttles server loads to provide managed degradation of application processing. The system has application in personalization, behavioral targeting, Internet retailing, personalized search, email segmentation and ad targeting, to name but a few applications.
机译:公开了一种用于在大量应用中分配服务器并在由未知因素驱动服务和相关负载使用的条件下提供可预测且一致的服务响应的系统和方法。本发明通过每个应用程序的多个资源来提供应用程序内的容错能力,并通过限制应用程序之间的资源重叠来跨应用程序提供容错能力。由于单个请求的复杂性和请求的数量,服务上的计算负载可能包括单独的处理时间。复杂性可能是不可预测的,因为该服务是自动提供的,并且可能使服务用户可以创建任意顺序的复合处理步骤。请求数量可能会因各种事件而变化,包括每天,季节性或假日,或者由服务的用户直接推动的因素(例如销售,广告或促销)。本发明限制服务器负载以提供应用程序处理的受控降级。该系统在个性化,行为目标,互联网零售,个性化搜索,电子邮件细分和广告目标中具有应用,仅举几个应用。

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