AQUAMan: SaaS可接受率调整的qos驱动的成本意识机制

A. Najjar, Yazan Mualla, O. Boissier, Gauthier Picard
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引用次数: 12

摘要

随着越来越多的交互式和多媒体应用程序迁移到云端,终端用户满意度和体验质量(QoE)将成为确保任何软件即服务(SaaS)提供商成功的决定性因素。然而,为了在这个竞争激烈的市场中生存,SaaS提供商还需要最大化其业务质量(QoBiz)并最小化支付给云提供商的成本。然而,文献中的大多数现有工作都采用了以提供者为中心的方法,忽略了最终用户的偏好。在本文中,我们提出了AQUAMan机制,该机制在考虑最终用户满意度和提供者的QoBiz的同时,为提供者提供了对服务可接受率的细粒度qos驱动控制。该解决方案采用多智能体仿真环境实现。结果表明,SaaS提供商能够在尊重强加的每个用户平均成本的情况下达到预定义的可接受率。此外,这些结果有助于SaaS提供商确定适应机制的限制,并估计每个用户的最佳平均投资成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AQUAMan: QoE-driven cost-aware mechanism for SaaS acceptability rate adaptation
As more interactive and multimedia-rich applications are migrating to the cloud, end-user satisfaction and her Quality of Experience (QoE) will become a determinant factor to secure success for any Software as a Service (SaaS) provider. Yet, in order to survive in this competitive market, SaaS providers also need to maximize their Quality of Business (QoBiz) and minimize costs paid to cloud providers. However, most of the existing works in the literature adopt a provider-centric approach where the end-user preferences are overlooked. In this article, we propose the AQUAMan mechanism that gives the provider a fine-grained QoE-driven control over the service acceptability rate while taking into account both end-users' satisfaction and provider's QoBiz. The proposed solution is implemented using a multi-agent simulation environment. The results show that the SaaS provider is capable of attaining the predefined acceptability rate while respecting the imposed average cost per user. Furthermore, the results help the SaaS provider identify the limits of the adaptation mechanism and estimate the best average cost to be invested per user.
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