Optimizing System Operations in an Open Environment through Ambience Setting

• Main Authors: Kuo-ChenWu, 吳國禎
• Other Authors: Hewi-Jin Jiau
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/60079972706892076829

博士 === 國立成功大學 === 電腦與通信工程研究所 === 100 === There are more and more services based on the collaboration among embedded devices in our daily life. These services help users achieve their needs in an efficient manner. For example, airline companies and airports support the user of smart phones as the boarding passes, and therefore reduce the customer waiting time when boarding on the plane. These services are convenient but how to acquire suitable services for users becomes an issue since large amount of embedded devices may collaborate to provide various services in different environments. When users move into an environment and never be aware of the services before, users have no idea about which services are useful to accomplish their needs. Current techniques is able of detecting the context of dynamic environments and suggest services for users to achieve their needs. However, it is difficult to realize necessary contextual information of all services in our daily life. Consequently, users cannot exactly acquire the optimal services to achieve their needs and have to select the optimal services from candidates, even if users can precisely describe their needs. Users or their agents have no prior knowledge of services in an open environment. In order to provide optimal services for user needs in an open environment, this work proposes a communication strategy, Ambience Setting, to solve the problem. Based on Ambience Setting, users or their agents can acquire optimal services to accomplish their needs without prior knowledge about the services. In this manner, users can achieve their needs in open environments through utilizing the optimal services. This work realizes Ambience Setting in cloud computing to optimize service provision. An experiment has been conducted to evaluate the effectiveness of Ambience Setting.