Int. J. Grid Util. Comput.最新文献_第8页

IoT-based intensive care secure framework for patient monitoring and tracking 基于物联网的重症监护安全框架，用于患者监测和跟踪

Int. J. Grid Util. Comput. Pub Date : 2019-07-18 DOI: 10.1504/IJGUC.2019.10022672

L. N. Omran, Kadry Ali Ezzat, Alaa Bayoumi, A. Darwish, A. Hassanien

{"title":"IoT-based intensive care secure framework for patient monitoring and tracking","authors":"L. N. Omran, Kadry Ali Ezzat, Alaa Bayoumi, A. Darwish, A. Hassanien","doi":"10.1504/IJGUC.2019.10022672","DOIUrl":"https://doi.org/10.1504/IJGUC.2019.10022672","url":null,"abstract":"This paper aims to design a prototype of the real-time patient control system. The proposed framework is used to quantify the physical parameters of the patient such as the temperature of the body, rate of heartbeat and ECG observation with the assistance of sensors. The collected data is sent to the cloud, then to the nurse station, specialist and the patient tablet or the web application. In this framework, the patient's health is checked consistently and the data obtained through the networks are transmitted. If any irregularity is noticed from the patient's signs, it will be sent to nurses and doctors for any suggestions to help the patient. The system is implemented through Arduino advanced controller and simulation results are obtained. The Smart Intensive Care Unit (SICU) provides a new way for health monitoring of patients in order to improve healthcare systems and patients' care and safety. The cloud system is provided by a group of micro-services hosted in many servers the simulate a small cloud system. To secure the patient's data through this framework is provided by using OAuth server to authenticate the users and the sensors and generate the tokens. This system can assist doctors and nurses to achieve their missions and improve the healthcare system.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":"os-11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127974532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

An adaptive technique for cost reduction in cloud data centre environment 一种降低云数据中心环境成本的自适应技术

Int. J. Grid Util. Comput. Pub Date : 2019-07-18 DOI: 10.1504/IJGUC.2019.10022663

Hesham M. Elmasry, Ayman E. Khedr, Mona M. Nasr

引用次数: 13

The energy consumption laxity-based algorithm to perform computation processes in virtual machine environments 在虚拟机环境中执行计算过程的基于能耗宽松的算法

Int. J. Grid Util. Comput. Pub Date : 2019-07-18 DOI: 10.1504/ijguc.2019.101996

T. Enokido, Dilawaer Duolikun, M. Takizawa

引用次数: 6

Performance analysis of data fragmentation techniques on a cloud server 云服务器上数据碎片技术的性能分析

Int. J. Grid Util. Comput. Pub Date : 2019-07-16 DOI: 10.1504/IJGUC.2019.10022144

Nelson L. Santos, Salvatore Lentini, E. Grosso, B. Ghita, G. Masala

引用次数: 4

A fog computing model for pervasive connected healthcare in smart environments 用于智能环境中普及互联医疗保健的雾计算模型

Int. J. Grid Util. Comput. Pub Date : 2019-06-25 DOI: 10.1504/IJGUC.2019.10022143

Philip T. Moore, H. Pham

引用次数: 5

Logic programming as a service in multi-agent systems for the Internet of Things 物联网多智能体系统中的逻辑编程服务

Int. J. Grid Util. Comput. Pub Date : 2019-06-25 DOI: 10.1504/IJGUC.2019.10022135

Roberta Calegari, E. Denti, S. Mariani, Andrea Omicini

引用次数: 10

GPU accelerated video super resolution using transformed spatio-temporal exemplars GPU利用变换的时空样本加速视频超分辨率

Int. J. Grid Util. Comput. Pub Date : 2019-06-25 DOI: 10.1504/IJGUC.2019.10022124

C. Kondapalli, Srikanth Khanna, V. Chandrasekaran, P. K. Baruah, Diwakar Kartheek Pingali, Sai Hareesh Anamandra

{"title":"GPU accelerated video super resolution using transformed spatio-temporal exemplars","authors":"C. Kondapalli, Srikanth Khanna, V. Chandrasekaran, P. K. Baruah, Diwakar Kartheek Pingali, Sai Hareesh Anamandra","doi":"10.1504/IJGUC.2019.10022124","DOIUrl":"https://doi.org/10.1504/IJGUC.2019.10022124","url":null,"abstract":"Super-resolution (SR) is the method of obtaining high-resolution (HR) images or image sequences from one or more low-resolution (LR) images of a scene. Huang et al. in 2015 proposed a transformed self-exemplar internal database technique which takes advantage of fractal nature in an image by expanding patch search space using geometric variations. This method fails if there is no patch redundancy within and across image scales and also if there is a failure in detecting vanishing points (VP) which are used to determine perspective transformation between LR image and its sub-sampled form. In this paper, we expand the patch search space by taking advantage of temporal dimension of image frames in the scene video and also use an efficient vanishing point (VP) detection technique by Lezama et al. in 2014 and are thereby able to successfully super-resolve even the failure cases of Huang et al. and an overall improvement in PSNR. We also focused on reducing the computation time by exploiting the embarrassingly parallel nature of the algorithm. We achieved a speedup of six on multi-core, up to 11 on GPU, around 16 on hybrid platform of multi-core and GPU by parallelising the proposed algorithm. Using our hybrid implementation, we achieved 32x super-resolution factor in limited time.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124620630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The analysis of man at the end attack behaviour in software defined network 软件定义网络中终端攻击行为分析

Int. J. Grid Util. Comput. Pub Date : 2019-06-25 DOI: 10.1504/IJGUC.2019.10022146

Abeer E. W. Eldewahi, Alzubair Hassan, Khalid Elbadawi, Bazara I. A. Barry

引用次数: 0

Large-scale data processing software and performance instabilities within HEP grid environments HEP网格环境中的大规模数据处理软件和性能不稳定性

Int. J. Grid Util. Comput. Pub Date : 2019-06-25 DOI: 10.1504/IJGUC.2019.10022145

O. Datskova, W. Shi

引用次数: 1

Energy-efficient fuzzy-based approach for dynamic virtual machine consolidation 基于节能模糊的动态虚拟机整合方法

Int. J. Grid Util. Comput. Pub Date : 2019-06-25 DOI: 10.1504/IJGUC.2019.10022127

Anita Choudhary, M. C. Govil, Girdhari Singh, L. Awasthi, E. Pilli

{"title":"Energy-efficient fuzzy-based approach for dynamic virtual machine consolidation","authors":"Anita Choudhary, M. C. Govil, Girdhari Singh, L. Awasthi, E. Pilli","doi":"10.1504/IJGUC.2019.10022127","DOIUrl":"https://doi.org/10.1504/IJGUC.2019.10022127","url":null,"abstract":"In cloud environments, the overload leads to performance degradation and Service Level Agreement (SLA) violation while underload results in inefficient utilisation of resources and needless energy consumption. Dynamic Virtual Machine (VM) consolidation is considered as an effective solution to deal with both overload and underload problems. However, dynamic VM consolidation is not a trivial solution as it can also lead to violation of negotiated SLA due to runtime overheads in VM migration. Further, dynamic VM consolidation approaches need to answer many questions such as (i) when to migrate a VM? (ii) which VM is to be migrated? and (iii) where to migrate the selected VM? In this work, efforts are made to develop a comprehensive approach to achieve better solution to above discussed problems. In the proposed approach, future forecasting methods for host overload detection are explored; a fuzzy logic based VM selection approach that enhances the performance of VM selection strategy is developed; and a VM placement algorithm based on destination CPU utilisation is also developed. The performance evaluation of the proposed approaches is carried out on CloudSim toolkit using PlanetLab data set. The simulation results have exhibited significant improvement in the number of VM migrations, energy consumption, and SLA violations.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126538001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1