An Adaptively Emerging Mechanism for Context-Aware Service Selections Regulated by Feedback Distributions
Cloud computing brought great advantages in terms of its cost control, reliability, elasticity, etc. Services, as the elements in cloud computing, attracted more attentions in recent years. According to, the cloud computing's information processing capacities are quickly growing at clearly exponential rates. Consequently, the numerous ambient services can be highly expected. In the meanwhile, more and more people, including researchers, enterprise users, and general users, must acquire new capabilities to build and master services. By this means, the authors think it becomes necessary to support people on how to make a proper selection of ambient services quickly, and how to make optimal selection of ambient services economically.