An agent-based negotiation approach for knowledge exchange in cloud service platforms

Abstract

A number of cloud service platforms are targeting experts involved in vital decision-making activities that can lead, for example, governments to take precautions or healthcare professionals to perform specific operations. In order for these cloud platforms to operate there exist an underlying knowledge discovery engine that is employing a number of advanced data analytics techniques to derive insightful conclusions. The technical challenges facing designers and developers of such cloud architectures are increasing relatively with the sensitivity of the data in subject and the ranking of the addressees. In this paper, we investigate these challenges and examine the design approaches of these specific cloud service architectures. We propose an agent-based negotiation model for knowledge exchange among service architectures similar to those in subject.