基于粗糙集理论的偏好预测的云协商框架

Hela Malouche, Youssef Ben Halima, H. Ghézala
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引用次数: 1

摘要

近年来,云计算已成为组织的优先选择,这些组织寻求促进其日益复杂的信息系统(IS)的管理,这些信息系统包括不同的组件:数据、服务、业务流程和硬件。由于有大量的云提供商,为每个IS组件选择云服务仍然是一个挑战,因为每个组件在服务质量方面都有自己的要求,这些要求可能彼此不同。云提供商的偏好通常与组织的偏好不同,因此需要协商过程。在本文中,我们提出了一个框架,组织和云提供商之间的谈判将基于该框架。在这个框架中,我们使用粗糙集理论来预测提供者的偏好。这种方法在改善谈判结果方面起着重要作用,并可以加快这一进程,因为提供方的偏好是已知的。此外,我们还提出了一种改进现有谈判策略的方法,以进一步加快谈判进程,提高组织效用。实验表明,该方法在效用、时间和成功率方面是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A negotiation framework for the cloud using rough set theory‐based preference prediction
In recent years, cloud computing has become a priority for organizations that seek to facilitate the management of their increasingly complex information systems (IS) that includes different components: data, services, business processes and hardware. With the large number of cloud providers, the selection of cloud services for each IS component remains a challenge because each one has its own requirements in terms of quality of service which may be different from each other. Cloud providers preferences are generally different from those of organizations, hence the need for a negotiation process. In this article, we propose a framework on which the negotiations between organizations and cloud providers will be based. In this framework, we use rough set theory to predict provider preferences. This method plays an important role in improving the results of negotiations and allows to speed up this process since the preferences of the providers will be known. Additionally, we propose an improvement to an existing negotiation strategy in order to further speed up negotiation process and increase organization utility. Experiments show the effectiveness of our approach in terms of utility, time and success rate.
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