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Translational biomedical informatics in the cloud: present and future
- 2013, Article ID 658925
"... Next generation sequencing and other high-throughput experimental techniques of recent decades have driven the exponential growth in publicly available molecular and clinical data. This information explosion has prepared the ground for the development of translational bioinformatics. The scale and ..."
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Next generation sequencing and other high-throughput experimental techniques of recent decades have driven the exponential growth in publicly available molecular and clinical data. This information explosion has prepared the ground for the development of translational bioinformatics. The scale and dimensionality of data, however, pose obvious challenges in data mining, storage, and integration. In this paper we demonstrated the utility and promise of cloud computing for tackling the big data problems. We also outline our vision that cloud computing could be an enabling tool to facilitate translational bioinformatics research.
DACAR Platform for eHealth Services Cloud
- In Proceedings of the 4th International Conference on Cloud Computing
, 2011
"... Abstract—The use of digital technologies in providing health care services is collectively known as eHealth. Considerable progress has been made in the development of eHealth services, but concerns over service integration, large scale deployment, and security, integrity and confidentiality of sensi ..."
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Abstract—The use of digital technologies in providing health care services is collectively known as eHealth. Considerable progress has been made in the development of eHealth services, but concerns over service integration, large scale deployment, and security, integrity and confidentiality of sensitive medical data still need to be addressed. This paper presents a solution proposed by the Data Capture and Auto Identification Reference (DACAR) project to overcoming these challenges. The DACAR platform uses a Single Point of Contact, a rule based information sharing policy syntax and data buckets hosted by a scalable and cost-effective Cloud infrastructure, to allow the secure capture, storage and consumption of sensitive health care data. Currently, a prototype of the DACAR platform has been implemented. To assess the viability and performance of the platform, a demonstration application, namely the Early Warn-ing Score, has been developed and deployed within a private Cloud infrastructure at Edinburgh Napier University. Simulated experimental results show that the end-to-end communication latency of 97.8 % of application messages were below 100ms. Hence, the DACAR platform is efficient enough to support the development and integration of time critical eHealth services. A more comprehensive evaluation of the DACAR platform in a real life medical environment is under development at Chelsea
Secure and Scalable Cloud-based Architecture for e-Health Wireless sensor networks
"... Abstract—There has been a host of research works on wireless sensor networks for medical applications. However, the major shortcoming of these efforts is a lack of consideration of data management. Indeed, the huge amount of high sensitive data generated and collected by medical sensor networks intr ..."
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Abstract—There has been a host of research works on wireless sensor networks for medical applications. However, the major shortcoming of these efforts is a lack of consideration of data management. Indeed, the huge amount of high sensitive data generated and collected by medical sensor networks introduces several challenges that existing architectures cannot solve. These challenges include scalability, availability and security. In this paper, we propose an innovative architecture for collecting and accessing large amount of data generated by medical sensor networks. Our architecture resolves all the aforementioned challenges and makes easy information sharing between healthcare professionals. Furthermore, we propose an effective and flexible security mechanism that guarantees confidentiality, integrity as well as fine grained access control to outsourced medical data. This mechanism combines several cryptographic schemes to achieve high flexibility and performance.
Optimizing Push/Pull Envelopes for Energy-Efficient Cloud-Sensor Systems
"... Unlike traditional distributed systems, where the resources/needs of computation and communication dominate the performance equation, sensor-based systems (SBS) raise new metrics and requirements for sensors as well as for computing and communication. This includes sensing latency and energy consump ..."
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Unlike traditional distributed systems, where the resources/needs of computation and communication dominate the performance equation, sensor-based systems (SBS) raise new metrics and requirements for sensors as well as for computing and communication. This includes sensing latency and energy consumption. In this paper, we present a performance model for SBS based on a three-tier architecture that uses edge devices to connect massive-scale networks of sensors to the cloud. In this architecture, which we call Cloud, Edge, and Beneath (CEB), initial processing of sensor data occurs in- and near-network, in order to achieve system sentience and energy efficiency. To optimize CEB performance, we propose the concept of optimal push/pull envelope (PPE). PPE dynamically and minimally adjusts the base push and pull rates for each sensor, according to the relative characteristics of sensor requests (demand side from the Cloud) and sensor data change (supply side from Beneath). We demonstrate the CEB architecture and its push/pull envelope optimization algorithm in an experimental evaluation that measures energy savings and sentience efficiency over a wide range of practical constraints. In addition, from the experiments we demonstrate that by combining PPE optimization algorithm with lazy sampling algorithm, we can achieve further energy saving.
Security and Privacy Issues and Requirements for Healthcare Cloud
"... Abstract. Information technology is increasingly used in healthcare with the goal to improve and enhance medical services and to reduce costs. One of the areas with greatest needs having available information at the right moment and with high accuracy is healthcare. With the widespread use of electr ..."
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Abstract. Information technology is increasingly used in healthcare with the goal to improve and enhance medical services and to reduce costs. One of the areas with greatest needs having available information at the right moment and with high accuracy is healthcare. With the widespread use of electronic health record (EHR), building a secure EHR sharing environment has attracted a lot of attention in both healthcare industry and academic community. Cloud computing paradigm is one of the popular health IT infrastructure for facilitating EHR sharing and EHR integration. Healthcare clouds offer new possibilities, such as easy and ubiquitous access to medical data, and opportunities for new business models. However, they also bear new risks and raise challenges with respect to security and privacy aspects. Ensuring the security and privacy is a major factor in the cloud computing environment. In this paper, we will present current state of the art research in this field. We focused of several shortcomings of current healthcare solutions and standards, particularly for platform security, privacy aspect and requirements which is a crucial aspect for the overall security of healthcare IT systems.
Cloud Computing Adoption in the Healthcare Sector: A SWOT Analysis
"... Emergence of cloud computing bring new evolution in information technology (IT) industry. Cloud computing is growing interest to several organizations all over the world but adoption of cloud computing is not easy task because there are many barriers associated with adopting it, which should be elim ..."
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Emergence of cloud computing bring new evolution in information technology (IT) industry. Cloud computing is growing interest to several organizations all over the world but adoption of cloud computing is not easy task because there are many barriers associated with adopting it, which should be eliminated. In the healthcare sector the rate of adopting the cloud computing is low and several barriers involve in adopting the cloud computing in the healthcare sector that major barrier is security. The aim of this paper is to investigate the cloud computing adoption in the healthcare sector using SWOT (Strength, Weaknesses, Opportunities and Threats) analysis. The results reveal the cloud computing adoption is one of the suitable solutions based on SWOT analysis for healthcare sector issues such as: cost, storage, collaborating.
A Survey of Cloud Computing Architecture and Applications
- in Health,” in Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
, 2013
"... Abstract — The growth of data produced by the medical and clinical community requires the introduction of advanced techniques and resources in terms of computational and storage capabilities. The different problems and needs that afflict the information technologies for health support conduce to ado ..."
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Abstract — The growth of data produced by the medical and clinical community requires the introduction of advanced techniques and resources in terms of computational and storage capabilities. The different problems and needs that afflict the information technologies for health support conduce to adoption of new infrastructure and application based on cloud computing. The different problems concerning to one side to the managerial, administrative and management aspects, to the other side concern who works as a physician or researcher, that needs the infrastructure to process, store, manage patient data, analysis, diagnosis, and so on. Today, cloud computing represents an important alternative to ensure high performance data processing and easy management of the complex tools in different area and in health. Cloud computing can solve many of these problems providing several advantages in terms of resource management and computational capabilities. In this paper a survey concerning the current models of health that are switching to solutions based on cloud computing, is proposed. Different applications and services are explored and concluded that the use of cloud computing and in particular of hybrid cloud solution can represent a significant opportunity to increase the development of the health sector in all its aspects.
Review Article Translational Biomedical Informatics in the Cloud:
, 2013
"... which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Next generation sequencing and other high-throughput experimental techniques of recent decades have driven the exponential growth in publicly available molecular and clinical d ..."
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which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Next generation sequencing and other high-throughput experimental techniques of recent decades have driven the exponential growth in publicly available molecular and clinical data. This information explosion has prepared the ground for the development of translational bioinformatics.The scale and dimensionality of data, however, pose obvious challenges in data mining, storage, and integration. In this paper we demonstrated the utility and promise of cloud computing for tackling the big data problems. We also outline our vision that cloud computing could be an enabling tool to facilitate translational bioinformatics research. 1.
