An autonomic cloud environment for hosting ECG data analysis services

Pandey, Suraj; Voorsluys, William; Niu, Sheng; Khandoker, Ahsan H.; Buyya, Rajkumar

doi:10.1016/j.future.2011.04.022

Cited by 205 publications

(85 citation statements)

References 3 publications

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“…Therefore, cloud computing resolves challenges that are related to scalability and feasibility. Cloud infrastructure is characterized with a high throughput and high volume storage, two important factors for efficient data analysis of large patients' population [12]. Figure 1 shows an example of how mobile devices and WBANs are connected through the internet where real-time data are sent to cloud servers ( Figure 1).…”

Section: Cloud Computing and Body Sensorsmentioning

confidence: 99%

Cloud Computing and Healthcare Services

Aziz¹,

Guled²

2016

J Biosens Bioelectron

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There is a significant volume of healthcare data generated daily. The data are important and vital for decision making and delivering the best care for patients. Cloud computing is a cost effective method that facilitates real-time data collection, data storage and exchange between healthcare organizations. Cloud infrastructure is characterized with a high throughput and a high volume storage; two important factors for efficient data analysis of large patients' population. Security and privacy are of the major concerns for using cloud-based healthcare services. Healthcare organization should have electronic medical records in order to use the cloud infrastructure. In order to cope with the rapid advancements in information technology and the utilization of cloud based services, efforts should be dedicated to move healthcare data form the traditional paper based to the electronic format. Then, regional legislation and policies should be enacted to regulate and control the usage of healthcare data.

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Section: Cloud Computing and Body Sensorsmentioning

confidence: 99%

Cloud Computing and Healthcare Services

Aziz¹,

Guled²

2016

J Biosens Bioelectron

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“…the ability for a system to easily expand its resource pool to accomodate heavier load) and geographic scalability (i.e. the ability to maintain performance, usefulness or usability regardless of expansion from concentration in a local area to a more distributed geographic pattern) represent two requirements that cloud computing can fulfill [25].…”

Section: Background On Cloudmentioning

confidence: 99%

“…Pandey et al in [25] propose the development of an autonomic cloud environment that collects people's health data and stores them to a cloud-based information repository and facilitates analysis on the data using software services hosted in the cloud. The scheme by Pandey et al integrates mobile and Cloud technologies with electrocardiogram (ECG) sensors to enable remote monitoring of patients with heart-related problems such as cardiac arrhythmias.…”

Section: 4mentioning

confidence: 99%

Cloud Computing in Healthcare and Biomedicine

Calabrese¹,

Cannataro²

2015

SCPE

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Abstract. High throughput platforms available in clinical settings or in research laboratories, such as magnetic resonance imaging, microarray, mass spectrometry and next-generation sequencing, are producing an increasing volume of clinical and omics data that poses new issues in terms of secure data storage, models for data integration and analysis, and high performance computing. Cloud Computing offers large scalable computing and storage, data sharing, on-demand anytime and anywhere access to resources and applications, and it supports easy but powerful distributed computing models, for facing those issues. In fact, in the recent years it has been adopted for the deployment of several applications in healthcare and bioinformatics both in academia and in the industry. However, cloud computing presents several issues regarding the security and privacy of data, that are particularly important when analyzing patients data, such as in personalized medicine. This paper reviews main cloud-based healthcare and biomedicine applications; with a special focus on healthcare, biomedicine and bioinformatics solutions and underlines main issues and problems related to the use of such platforms for the storage and analysis of patients data.

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“…In [16], the authors propose the use of Cloud for collecting personal health data, in particular for monitoring ECG (ElectroCardioGram) values. Authors have designed a real-time health monitoring and analysis system that should be scalable and economic for people who require frequent monitoring of their health.…”

Section: A Model For Tdgs Systemsmentioning

confidence: 99%

Hscloud: Cloud Architecture for Supporting Homeland Security

Fazio

Paone

Puliafito

et al. 2012

International Journal on Smart Sensing and Intelligent Systems

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Abstract-Governmental institutions all over the world are trying to increase the level of security of their countries emphasizing the usage Information Technology solutions. We believe that CloudComputing may strongly help Homeland Security, since it offers a very flexible support for organizing and managing heterogeneous systems, providing huge amount of processing, storing and sensing resources. In this work we introduce a new Cloud architecture able to virtualize different types of sensing environments in virtual sensing elements, logically belonging to Cooperating Clouds. It

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An autonomic cloud environment for hosting ECG data analysis services

Cited by 205 publications

References 3 publications

Cloud Computing and Healthcare Services

Cloud Computing and Healthcare Services

Cloud Computing in Healthcare and Biomedicine

Hscloud: Cloud Architecture for Supporting Homeland Security

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