A Health-Care Architecture Based on Energy-Efficient Cloud Computing

Sunil Ghildiyal, K. Joshi, Puneet Kanti, M. Memoria, Ajay Singh, Ashulekha Gupta
{"title":"A Health-Care Architecture Based on Energy-Efficient Cloud Computing","authors":"Sunil Ghildiyal, K. Joshi, Puneet Kanti, M. Memoria, Ajay Singh, Ashulekha Gupta","doi":"10.1109/ICCCS55188.2022.10079256","DOIUrl":null,"url":null,"abstract":"With emerging advancements, the medical domain of health monitoring systems has a necessity to combine cloud computing and IoT technology for the current requirements. This study is concerned with designing IoT modules under the supervision of the Cloud Computing technology connected with a server. The device is used to coordinate people and health care, people and sensors, gateway, and servers with a database. From the sensor point, health maintenance metrics like sugar level, blood pressure status, the oxygen level of the human body, and other parameters will be collected. The records will be transferred by a gateway to the health care server which is connected using the cloud technology. The corresponding gateway is used to receive instructions from the server by analyzing the healthcare metrics from the users. As the server is connected to the cloud technology, a user can transfer the records or receive instructions from the server either in their residential location or any outdoor area. For the efficiency of the system, a Cloud Computing Health care Architecture (CCHA) is designed. Using this health indicating metrics will be transferred through any of the GSM techniques. Through the efficient integration of health care and cloud platform, the interconnection of servers, professional instruction from medical experts, and other value-added services may be added. The CPU usage is 42%, internal usage is 7.55 GHz, and memory utilization is 591.65 Mb. On the whole study of the system, CCHA works efficiently without any restart, crash, and other performancerelated issues.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCS55188.2022.10079256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

With emerging advancements, the medical domain of health monitoring systems has a necessity to combine cloud computing and IoT technology for the current requirements. This study is concerned with designing IoT modules under the supervision of the Cloud Computing technology connected with a server. The device is used to coordinate people and health care, people and sensors, gateway, and servers with a database. From the sensor point, health maintenance metrics like sugar level, blood pressure status, the oxygen level of the human body, and other parameters will be collected. The records will be transferred by a gateway to the health care server which is connected using the cloud technology. The corresponding gateway is used to receive instructions from the server by analyzing the healthcare metrics from the users. As the server is connected to the cloud technology, a user can transfer the records or receive instructions from the server either in their residential location or any outdoor area. For the efficiency of the system, a Cloud Computing Health care Architecture (CCHA) is designed. Using this health indicating metrics will be transferred through any of the GSM techniques. Through the efficient integration of health care and cloud platform, the interconnection of servers, professional instruction from medical experts, and other value-added services may be added. The CPU usage is 42%, internal usage is 7.55 GHz, and memory utilization is 591.65 Mb. On the whole study of the system, CCHA works efficiently without any restart, crash, and other performancerelated issues.
基于节能云计算的医疗保健体系结构
随着医疗领域健康监测系统的不断发展,有必要将云计算和物联网技术相结合,以满足当前的需求。本研究关注的是在与服务器连接的云计算技术的监督下设计物联网模块。该设备用于协调人与医疗保健,人与传感器,网关和服务器与数据库。从传感器点,健康维护指标,如血糖水平,血压状态,人体的氧气水平,以及其他参数将被收集。这些记录将通过网关传输到使用云技术连接的医疗保健服务器。通过分析来自用户的医疗保健指标,使用相应的网关接收来自服务器的指令。由于服务器连接到云技术,用户可以在其住宅位置或任何户外区域传输记录或接收服务器的指令。为了提高系统的效率,设计了云计算医疗体系结构(CCHA)。使用此运行状况指示指标将通过任何GSM技术进行传输。通过健康医疗与云平台的高效融合,可以实现服务器互联、医疗专家专业指导等增值服务。CPU使用率为42%,内部使用率为7.55 GHz,内存使用率为591.65 Mb。从整个系统的研究来看,CCHA工作效率很高,没有出现重启、崩溃等性能问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信