基于云计算的大众健身服务系统研究

Research on Public Health Service Systems based on Cloud Computing

旨在构建一个可以支撑全民健身服务需要的、快速实时反映的满足海量信息存储和处理的公共健身服务系统。以大众健身服务系统的设计为研究对象,运用文献资料法、专家访谈法、系统分析法等研究方法,对健身服务系统的设计定位、"云"部署模式、服务模式、服务内容以及运营机制等构建要素进行了研究。认为大众健身服务系统云应采用私有云、第三方云和公共云相融合的混合云部署模式,为社会大众提供资源与空间相结合的公共服务平台,其服务应面向机构和个人开放、面向各类健身资源开放和面向多样化的消费方式开放;服务内容上,应以健身用户为中心,重点建设健身资源池和支持服务池;通过完善资源共建共享、注册会员制、健身辅导以及综合资源评价等机制保障大众健身服务系统运营,实现其可持续发展。

This research is aimed at building a real time public fitness service system, with massive data storage and processing ability, to meet the public fitness service demand. In this research, we focus on the system positio- ning, cloud delegation model, service model, service con- tent and operation mechanism of the fitness service sys- tem. Methods used were literature information method, ex-pert interviews method and system analysis method. The public fitness service system should be a platform that combines resources and space. It should serve the public with fitness space and resources, both equipment delivery and guidance service. This requires the use of combined cloud delegation model which is a combination of private cloud, third party cloud and public cloud. The service should be opened to corporate and personal uses, opened to different fitness resources, and opened to different ex- pense models. In terms of the service content, it should be oriented around the users, focus on the constructions of fit- ness resource pool and service support pool. With a com- plete resource that get built and share together, member registration, personal trainer program, user online reviews, together with experts＇ review of the resources, we could build a system that＇s sustainable in long run.