公开(公告)号：US20130198050A1

公开(公告)日：2013-08-01

申请号：US13755437

申请日：2013-01-31

Applicant: Infosys Limited

Inventor： Abhijit Shroff ,  Venkata Reddy Donthireddy ,  Santha Kumar Rajangam ,  Prasanna Raman Sridhar ,  Babu Jayaraj

IPC: H04L12/26

CPC classification number: H04L43/04 ,  G06F9/5072 ,  H04L41/5009

Abstract: A method and system for providing decision-time brokerage in a hybrid cloud ecosystem is disclosed. Disclosed embodiments may include receiving a workload input by a brokerage engine executing in a computing device communicably connected to at least one cloud computing node in a cloud platform of a cloud service provider, determining resource optimization for the workload input by the brokerage engine, monitoring the workload input for compliance with one or more audit and regulatory metrics, monitoring the cost consumption of the workload input, capturing non-functional context data associated with the workload input into a context repository database, applying one or more rules to the workload, deploying the workload across the one or more cloud platforms. In some embodiments, a deployment recommendation may be provided prior to deployment of the workload. In some embodiments, a social collaboration workflow may be triggered whereby one or more users are provided the deployment recommendation.

Abstract translation: 公开了一种在混合云生态系统中提供决策时间经纪的方法和系统。 所公开的实施例可以包括接收在可通信地连接到云服务提供商的云平台中的至少一个云计算节点的计算设备中执行的经纪人引擎的工作负荷输入，确定经纪人引擎的工作负荷输入的资源优化， 工作负载输入，以符合一个或多个审计和监管指标，监测工作负载输入的成本消耗，捕获与上下文存储库数据库中的工作负载相关联的非功能上下文数据，将一个或多个规则应用于工作负载，部署 一个或多个云平台的工作量。 在一些实施例中，可以在部署工作负载之前提供部署建议。 在一些实施例中，可以触发社会协作工作流，从而为部署建议提供一个或多个用户。

公开(公告)号：US09967159B2

公开(公告)日：2018-05-08

申请号：US13755437

申请日：2013-01-31

Applicant: Infosys Limited

Inventor： Abhijit Shroff ,  Venkata Reddy Donthireddy ,  Santha Kumar Rajangam ,  Prasanna Raman Sridhar ,  Babu Jayaraj

IPC: H04L12/26 ,  H04L12/24 ,  G06F9/50 ,  H04W4/02

CPC classification number: H04L43/04 ,  G06F9/5072 ,  H04L41/5009

Abstract: A method and system for providing decision-time brokerage in a hybrid cloud ecosystem is disclosed. Disclosed embodiments may include receiving a workload input by a brokerage engine executing in a computing device communicably connected to at least one cloud computing node in a cloud platform of a cloud service provider, determining resource optimization for the workload input by the brokerage engine, monitoring the workload input for compliance with one or more audit and regulatory metrics, monitoring the cost consumption of the workload input, capturing non-functional context data associated with the workload input into a context repository database, applying one or more rules to the workload, deploying the workload across the one or more cloud platforms. In some embodiments, a deployment recommendation may be provided prior to deployment of the workload. In some embodiments, a social collaboration workflow may be triggered whereby one or more users are provided the deployment recommendation.