摘要
针对移动应用对本地信息的需求和云计算框架在支持移动应用方面的不足,提出了一种基于"智能前端化"思想的雾计算框架。该框架在云计算框架的云服务和移动终端之间扩展一个"雾层",以便将云服务器上的数据和计算服务更快更经济地提供给移动终端。针对医院场景,设计并研发了能提供就医时相关信息浏览服务、排队时长查询服务和多媒体点播服务等的信息服务系统,并提出了多频段负载均衡接入和基于本地信息融合的排队时长查询两项关键技术。通过真实场景中的测试实验验证了系统的可用性和关键技术的高效性。
Due to local information requirements and the lack of the cloud computing framework support,this paper proposed a fog computing framework based on＂intelligent front-terminal＂for mobile applications.The framework extends a fog layer between cloud services and mobile devices,aiming at the smooth,low-latency and economical services delivery from cloud to mobile.In hospital scene,this paper designed and developed an information service system,which provides medical information,queuing waiting time and multimedia services.Moreover,the multi-band load balancing algorithm and queuing waiting time estimation based on local information algorithm were proposed in the system.The availability of the system and the efficiency of algorithms were verified in real-world experiments.
出处
《计算机科学》
CSCD
北大核心
2015年第7期170-173,190,共5页
Computer Science
基金
国家自然科学基金(61202066
61472418)资助
关键词
云计算
雾计算
数据缓存
无线接入
物联网
Cloud computing
Fog computing
Date caching
Wireless accessing
Internet of Things
