Customized Cloud Service Quality: Approaching Pareto-Efficient Outcomes in Concurrent Multiple-Issue Negotiations

To date, cloud service consumers usually cannot obtain customized quality guarantees according to their specific business constraints. However, on-demand service provisioning, a large number of services with multiple quality parameters, and a plethora of consumers prevent manual negotiations that are typically conducted in face-to-face meetings. Therefore, the design and realization of appropriate mechanisms for an automated negotiation of service level agreements plays a major role for cloud service markets to emerge. Moreover, from a business point of view, the negotiating parties also have specific demands on the performance of such mechanisms and want to obtain the best result that is achievable while not revealing their private information. In this paper, we propose a negotiation mechanism for the envisioned scenario, that allows to approach efficient results despite private information, and evaluate its performance.