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Mobile Cloud for Assistive Healthcare (MoCAsH)

机译:辅助医疗移动云(MoCAsH)

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Deploying state-of-the-art technologies is vital and inevitable in assistive healthcare to cope with emerging services such as remote monitoring, collaborative consultation, and electronic health record. Grid computing has succeeded somewhat in enabling the sharing of resources across organizations but has not been deployed widely due to its complex implementation and interface. Cloud computing overcomes this aspect by allowing simple and easy user access, coping with usersȁ9; dynamic and elastic demands, providing metered usage for its resources and hence is increasingly being adopted by individual users as well as enterprise users. The Cloud may just be the right technology for healthcare infrastructure. However, several serious issues concerning security, data protection and ownership, quality of services, and mobility need to be resolved before Cloud computing can be widely adopted.. This paper proposes Mobile Cloud for Assistive Healthcare (MoCAsH) as an infrastructure for assistive healthcare. Besides inheriting the advantages of Cloud computing, MoCAsH embraces important concepts of mobile sensing, active sensor records, and collaborative planning by deploying intelligent mobile agents, context-aware middleware, and collaborative protocol for efficient resource sharing and planning. MoCAsH addresses security and privacy issues by deploying selective and federated P2P Cloud to protect data, preserve data ownership and strengthen aspects of security. It also addresses various quality-of-service issues concerning critical responses and energy consumption.
机译:部署最新技术对于辅助医疗保健以应对新兴服务(如远程监控,协作咨询和电子健康记录)至关重要,也是不可避免的。网格计算在实现跨组织资源共享方面取得了一些成功,但是由于其复杂的实现和接口而尚未得到广泛部署。云计算通过允许简单易用的用户访问(克服了用户,9)克服了这一方面;动态和弹性的需求,提供对其资源的计量使用,因此越来越多地被个人用户和企业用户采用。云可能只是医疗基础设施的正确技术。但是,在广泛采用云计算之前,需要解决一些与安全性,数据保护和所有权,服务质量以及移动性有关的严重问题。本文提出了用于辅助医疗保健的移动云(MoCAsH)作为辅助医疗保健的基础架构。除了继承云计算的优势,MoCAsH还通过部署智能移动代理,上下文感知中间件和协作协议来进行有效的资源共享和计划,从而涵盖了移动感测,主动传感器记录和协作计划等重要概念。 MoCAsH通过部署选择性的联合P2P云来保护数据,保留数据所有权并增强安全性,从而解决了安全性和隐私问题。它还解决了与关键响应和能耗有关的各种服务质量问题。

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