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Policy-based scaling of computing resources in a networked computing environment

机译:网络计算环境中基于策略的计算资源扩展

摘要

Embodiments of the present invention provide an approach for policy-driven (e.g., price-sensitive) scaling of computing resources in a networked computing environment (e.g., a cloud computing environment). In a typical embodiment, a workload request for a customer will be received and a set of computing resources available to process the workload request will be identified. It will then be determined whether the set of computing resources are sufficient to process the workload request. If the set of computing resources are under-allocated (or are over-allocated), a resource scaling policy may be accessed. The set of computing resources may then be scaled based on the resource scaling policy, so that the workload request can be efficiently processed while maintaining compliance with the resource scaling policy.
机译:本发明的实施例提供了一种用于在网络计算环境(例如,云计算环境)中策略驱动(例如,价格敏感)缩放计算资源的方法。在典型的实施例中,将接收对客户的工作量请求,并且将识别可用于处理工作量请求的一组计算资源。然后将确定该组计算资源是否足以处理工作负载请求。如果计算资源集分配不足(或分配过度),则可以访问资源缩放策略。然后可以基于资源缩放策略来缩放该组计算资源,从而可以在保持对资源缩放策略的合规性的同时有效地处理工作负载请求。

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