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Capacity-driven utility model for service level agreement negotiation of cloud services

机译:云服务的服务水平协议协商的容量驱动效用模型

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Dynamic customers' requirements and providers' resources availability in the Cloud market make it inadequate static approaches to guarantee Quality of Service (QoS) levels and to define pricing. In this context, negotiation guided by dynamic information is a viable way to achieve high satisfaction levels for both contract parties. We propose to exploit capacity planning to support bilateral negotiation processes with the aim of optimizing the utility for service providers, by avoiding contracts that could incur in Service Level Agreements (SLAs) violations, keeping, at the same time, competitive prices. The proposed technique exploits a non-additive utility function defined in the region of acceptable SLA proposals, taking into account desired QoS and expected resources availability, costs and penalties. The experimental analysis shows the benefit of the proposed dynamic approach with respect to static ones in a scenario characterized by a set of customers and differentiated classes of applications provided by a cloud environment.
机译:云市场中动态客户的需求和提供商的资源可用性使它无法采用静态方法来保证服务质量(QoS)级别并确定定价。在这种情况下,以动态信息为指导的谈判是实现双方合同双方高满意度的可行方法。我们建议利用容量规划来支持双边谈判流程,以通过避免可能会违反服务水平协议(SLA)的合同,同时保持有竞争力的价格,来优化服务提供商的效用。考虑到所需的QoS和预期的资源可用性,成本和损失,所提出的技术利用了在可接受的SLA建议区域中定义的非可加性效用函数。实验分析表明,在以一组客户和由云环境提供的不同类别的应用程序为特征的场景中,相对于静态方法,建议的动态方法的好处。

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