scholarly journals Streaming Support for Data Intensive Cloud-Based Sequence Analysis

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Shadi A. Issa ◽  
Romeo Kienzler ◽  
Mohamed El-Kalioby ◽  
Peter J. Tonellato ◽  
Dennis Wall ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Transfer ◽  
Cost Effective ◽  
Workflow Systems ◽  
Data Intensive ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Computational Resources ◽  
Next Generation Sequencing Ngs ◽  
Ngs Data

Cloud computing provides a promising solution to the genomics data deluge problem resulting from the advent of next-generation sequencing (NGS) technology. Based on the concepts of “resources-on-demand” and “pay-as-you-go”, scientists with no or limited infrastructure can have access to scalable and cost-effective computational resources. However, the large size of NGS data causes a significant data transfer latency from the client’s site to the cloud, which presents a bottleneck for using cloud computing services. In this paper, we provide a streaming-based scheme to overcome this problem, where the NGS data is processed while being transferred to the cloud. Our scheme targets the wide class of NGS data analysis tasks, where the NGS sequences can be processed independently from one another. We also provide theelastreampackage that supports the use of this scheme with individual analysis programs or with workflow systems. Experiments presented in this paper show that our solution mitigates the effect of data transfer latency and saves both time and cost of computation.

Cloud Services for Healthcare

2016 ◽  
pp. 709-734
Author(s):  
Konstantinos Koumaditis ◽  
George Pittas ◽  
Marinos Themistocleous ◽  
George Vassilacopoulos ◽  
Andriana Prentza ◽  
...  
Keyword(s):  
Cloud Computing ◽  
User Satisfaction ◽  
Research Agenda ◽  
Cost Effective ◽  
Cloud Services ◽  
Design And Technology ◽  
Business Practices ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Infrastructure Services

Healthcare organisations are forced to reconsider their current business practices and embark on a cloud adoption journey. Cloud-Computing offers important benefits that make it attractive for healthcare (e.g. cost effective model, big data management etc.). Large Information Technology (IT) companies are investing big sums in building infrastructure, services, tools and applications to facilitate Cloud-Computing for healthcare organisations, practitioners and patients. Yet, many challenges that such integration projects contain are still in the e-health research agenda like design and technology requirements to handle big volume of data, ensure scalability and user satisfaction to name a few. The purpose of this chapter is (a) to address the Cloud-Computing services for healthcare in the form of a Personal Healthcare record (PHR) and (b) demonstrate a multidisciplinary project. In doing so, the authors aim at increasing the awareness of this important endeavour and provide insights on Cloud-Computing e-health services for healthcare organisations.

scholarly journals Benchmarking undedicated cloud computing providers for analysis of genomic datasets.

2014 ◽  
Author(s):  
Seyhan Yazar ◽  
George EC Gooden ◽  
David A Mackey ◽  
Alex Hewitt
Keyword(s):  
Cloud Computing ◽  
Cost Effective ◽  
Clock Time ◽  
Male Genome ◽  
Computing Services ◽  
Amazon Web Services ◽  
Major Bottleneck ◽  
Cloud Computing Services ◽  
Biological Discovery ◽  
The Cost

A major bottleneck in biological discovery is now emerging at the computational level. Cloud computing offers a dynamic means whereby small and medium-sized laboratories can rapidly adjust their computational capacity. We benchmarked two established cloud computing services, Amazon Web Services Elastic MapReduce (EMR) on Amazon EC2 instances and Google Compute Engine (GCE), using publicly available genomic datasets (E.coli CC102 strain and a Han Chinese male genome) and a standard bioinformatic pipeline on a Hadoop-based platform. Wall-clock time for complete assembly differed by 52.9% (95%CI: 27.5-78.2) for E.coli and 53.5% (95%CI: 34.4-72.6) for human genome, with GCE being more efficient than EMR. The cost of running this experiment on EMR and GCE differed significantly, with the costs on EMR being 257.3% (95%CI: 211.5-303.1) and 173.9% (95%CI: 134.6-213.1) more expensive for E.coli and human assemblies respectively. Thus, GCE was found to outperform EMR both in terms of cost and wall-clock time. Our findings confirm that cloud computing is an efficient and potentially cost-effective alternative for analysis of large genomic datasets. In addition to releasing our cost-effectiveness comparison, we present available ready-to-use scripts for establishing Hadoop instances with Ganglia monitoring on EC2 or GCE.

Cloud Services for Healthcare

2015 ◽  
pp. 292-317 ◽  
Author(s):  
Konstantinos Koumaditis ◽  
George Pittas ◽  
Marinos Themistocleous ◽  
George Vassilacopoulos ◽  
Andriana Prentza ◽  
...  
Keyword(s):  
Cloud Computing ◽  
User Satisfaction ◽  
Research Agenda ◽  
Cost Effective ◽  
Cloud Services ◽  
Design And Technology ◽  
Business Practices ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Infrastructure Services

Healthcare organisations are forced to reconsider their current business practices and embark on a cloud adoption journey. Cloud-Computing offers important benefits that make it attractive for healthcare (e.g. cost effective model, big data management etc.). Large Information Technology (IT) companies are investing big sums in building infrastructure, services, tools and applications to facilitate Cloud-Computing for healthcare organisations, practitioners and patients. Yet, many challenges that such integration projects contain are still in the e-health research agenda like design and technology requirements to handle big volume of data, ensure scalability and user satisfaction to name a few. The purpose of this chapter is (a) to address the Cloud-Computing services for healthcare in the form of a Personal Healthcare record (PHR) and (b) demonstrate a multidisciplinary project. In doing so, the authors aim at increasing the awareness of this important endeavour and provide insights on Cloud-Computing e-health services for healthcare organisations.

Data Security for Software as a Service

2015 ◽  
Vol 6 (3) ◽  
pp. 47-63 ◽  
Author(s):  
Pradeep Kumar Tiwari ◽  
Sandeep Joshi
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Cost Effective ◽  
Software As A Service ◽  
Security Vulnerabilities ◽  
Security Breaches ◽  
Security Issues ◽  
On Demand ◽  
Computing Services ◽  
Cloud Computing Services

Cloud computing is a BUZZ word of modern computing scenario. Cloud computing services are flexible and cost effective with resource utilization. Cloud computing have three service models SaaS (Software as a Service) PaaS (Plateform as a Service) and Iaas (Infrastructure as a Service). SaaS provide on demand application services such as email, ERP and CRM etc. Multi user can access applications and they can interact to each other at same time. All users data can be reside at same place. This flexibility of SaaS service also gives the security breaches. Loop holes of SaaS harder to find and maintain. The authors discuss here security vulnerabilities of SaaS with possible solutions. This study would be helpful to elaborate to understand data security issues and privacy solutions over SaaS.

Data Security for Software as a Service

2016 ◽  
pp. 864-880
Author(s):  
Pradeep Kumar Tiwari ◽  
Sandeep Joshi
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Cost Effective ◽  
Software As A Service ◽  
Security Vulnerabilities ◽  
Security Breaches ◽  
Security Issues ◽  
On Demand ◽  
Computing Services ◽  
Cloud Computing Services

Cloud computing is a BUZZ word of modern computing scenario. Cloud computing services are flexible and cost effective with resource utilization. Cloud computing have three service models SaaS (Software as a Service) PaaS (Plateform as a Service) and Iaas (Infrastructure as a Service). SaaS provide on demand application services such as email, ERP and CRM etc. Multi user can access applications and they can interact to each other at same time. All users data can be reside at same place. This flexibility of SaaS service also gives the security breaches. Loop holes of SaaS harder to find and maintain. The authors discuss here security vulnerabilities of SaaS with possible solutions. This study would be helpful to elaborate to understand data security issues and privacy solutions over SaaS.

Cloud Computing in Library

2014 ◽  
Vol 3 ◽  
pp. 94-112
Author(s):  
Angelė Pečeliūnaitė
Keyword(s):  
Cloud Computing ◽  
Scientific Community ◽  
Digital Age ◽  
International Experience ◽  
The Internet ◽  
Library Services ◽  
General Activity ◽  
Computing Services ◽  
Cloud Computing Services

The article analyses the possibility of how Cloud Computing can be used by libraries to organise activities online. In order to achieve a uniform understanding of the essence of technology SaaS, IaaS, and PaaS, the article discusses the Cloud Computing services, which can be used for the relocation of libraries to the Internet. The improvement of the general activity of libraries in the digital age, the analysis of the international experience in the libraries are examples. Also the article discusses the results of a survey of the Lithuanian scientific community that confirms that 90% of the scientific community is in the interest of getting full access to e-publications online. It is concluded that the decrease in funding for libraries, Cloud Computing can be an economically beneficial step, expanding the library services and improving their quality.

One Implementation Method of Trust Evaluation Tool Used on Cloud Computing Service

2019 ◽  
Vol 12 (3) ◽  
pp. 223-231
Author(s):  
Shengju Yang
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Service Providers ◽  
Assessment Method ◽  
Trust Evaluation ◽  
Evaluation Tool ◽  
Computing Services ◽  
Business Goals ◽  
Cloud Computing Service ◽  
Cloud Computing Services

In order to solve the trust problems between users and cloud computing service providers in cloud computing services, the existing trust evaluation technology and access control technology in the cloud computing service are analyzed. And the evaluation index of cloud computing is also analyzed. Users can calculate the relevant indicators of cloud computing service according to their own business goals, and choose the appropriate cloud computing services according to their own trust need. In addition, the reliability assessment method of users based on the service process is proposed. Cloud computing access control system can be used for user credibility evaluation, and it can handle user access requests according to user's creditability. In the study, a cloud computing service trust evaluation tool is designed, and the modeling and architecture designs of trust evaluation are also given. The effectiveness of the method is verified by experiments on cloud computing service evaluation methods.

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