公开(公告)号：US20150019301A1

公开(公告)日：2015-01-15

申请号：US13940318

申请日：2013-07-12

Applicant: Xerox Corporation

Inventor： Gueyoung Jung ,  Naveen Sharma ,  Tridib Mukherjee ,  Frank Michael Goetz

IPC: G06Q10/06

CPC classification number: G06Q10/06393

Abstract: A system and method for providing cloud performance capability estimation and supporting recommender systems by simulating bottleneck and its migration for any given complex application in a cost-efficient way are provided. To do this, first, the system and method builds an abstract performance model for an application based on the resource usage pattern of the application in an in-house test-bed (i.e., a white-box environment). Second, it computes relative performance scores of many different cloud configurations given from black-boxed clouds using a cloud metering system. Third, it applies the collected performance scores into the abstract performance model to estimate performance capabilities and potential bottleneck situations of those cloud configurations. Finally, using the model, it can support recommender systems by providing performance estimates and simulations of bottlenecks and bottleneck migrations between resource sub-systems while new resources are added or replaced.

Abstract translation: 提供了一种通过以成本有效的方式模拟瓶颈及其对任何给定复杂应用程序的迁移来提供云性能能力估计和支持推荐系统的系统和方法。 为此，首先，系统和方法基于内部测试台（即，白盒环境）中应用程序的资源使用模式为应用程序构建抽象性能模型。 其次，它使用云计量系统来计算从黑匣子云中提供的许多不同云配置的相对性能分数。 第三，将收集的绩效分数应用于抽象绩效模型，以估计这些云配置的性能能力和潜在瓶颈。 最后，通过使用该模型，可以通过在添加或替换新资源的同时提供资源子系统之间的瓶颈和瓶颈迁移的性能估计和模拟来支持推荐系统。