Toward a Real-Time Framework in Cloudlet-Based Architecture

作     者：O.Kotevska A.Lbath S.Bouzefrane 

作者机构：CNRSLIGUniversity Grenoble Alpes CEDRIC LabConservatoire National des Arts et Metiers CNAM 

出 版 物：《Tsinghua Science and Technology》 (清华大学学报（自然科学版（英文版）)

年 卷 期：2016年第21卷第1期

页      面：80-88页

核心收录：

学科分类：08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 

基　　金：supported by the National Institute of Standards and Technologies(NIST) 

主　　题：smart city cloudlet prediction recommendations framework real time 

摘      要：In this study, we present a framework based on a prediction model that facilitates user access to a number of services in a smart living environment. Users must be able to access all available services continuously equipped with mobile devices or smart objects without being impacted by technical constraints such as performance or memory issues, regardless of their physical location and mobility. To achieve this goal, we propose the use of cloudlet-based architecture that serves as distributed cloud resources with specific ranges of influence and a realtime processing framework that tracks events and preferences of the end consumers, predicts their requirements,and recommends services to optimize resource utilization and service response time.