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AQUAMan: QoE-Driven Cost-Aware Mechanism for SaaS Acceptability Rate Adaptation

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In Proc. of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Leipzig, Germany, 2017.
DOI: 10.1145/3106426.3106485.
Abstract:
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 the success for any Software as a Service (SaaS) provider. Yet, in order to sur-vive in this competitive market, SaaS providers also need to maximize their Quality of Business (QoBiz) and minimize the 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 pro-posed 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.
Keywords:
User Satisfaction, Multi-agent Negotiation, QoE, SaaS, Cloud Computing
Publication Category:
International conference with proceedings
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