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

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.

2016 ◽  
pp. 709-734
Author(s):  
Konstantinos Koumaditis ◽  
George Pittas ◽  
Marinos Themistocleous ◽  
George Vassilacopoulos ◽  
Andriana Prentza ◽  
...  

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.


2015 ◽  
Vol 9 (1and2) ◽  
Author(s):  
Akshay Mehta ◽  
Dr. Sanjay Kumar Dubey

Cloud Computing has emerged very fast in the IT industry. It is based on virtualization technology and provides internet based computing which provides resource pooling, services sharing and on demand access. Its evolution has reduced must of the cost of enterprises as well as of the other industries working with a huge data. With cloud computing emerging at a much faster rate, the situation may soon be changed. But, despite the fact that it provides a number of facilities to the service providers, it has quite a number of issues related to it. The most important issue related to cloud is its security. From the consumer’s perspective, cloud computing security concerns, especially data security and privacy protection issues, remain the primary inhibitor of cloud computing services. Security is the reason that hinders many enterprises to enter into cloud. So this paper gives a detail of the security risks related to cloud and the possible measures which the enterprises need to ensure before entering Cloud Computing.


Author(s):  
Konstantinos Koumaditis ◽  
George Pittas ◽  
Marinos Themistocleous ◽  
George Vassilacopoulos ◽  
Andriana Prentza ◽  
...  

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.


Author(s):  
Pradeep Kumar Tiwari ◽  
Sandeep Joshi

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.


2014 ◽  
Vol 926-930 ◽  
pp. 3778-3781
Author(s):  
Cong Zheng ◽  
Li Qing Zhou

After the development of decades cloud computing has landed from the cloud and formed a certain scale. Successful examples of the use of cloud computing to reduce operational costs attract many companies. But the comparison for price of cloud computing services and self-built server is not clear and hidden costs of cloud computing services is also not clear. This paper will compare the cost of cloud computing services and self-built server price and analyzed the hidden costs for users as accessing cloud computing decision-making.


2021 ◽  
Author(s):  
Leonardo Reboucas de Carvalho ◽  
Alba Cristina Alves Melo ◽  
Aleteia Araujo

Protein sequence alignment is a task of great relevance in Bioinformatics and the Hirschberg algorithm is widely used for this task. This work proposes a framework for executing sequence alignment with the Hirschberg algorithm in different cloud computing services. In experiments, our framework was used to align HIV-1 protease sequences using different instances of AWS EC2 and different configurations of AWS Lambda functions.The results show that, for this application, there is a tradeoff between the expected execution time and the cost, e.g., in most cases AWS Lambda provides the best runtime, however at a higher USD cost. In this context, it is important to have a framework that helps in deciding which approach is most appropriate.


2014 ◽  
Vol 3 (2) ◽  
pp. 63-68 ◽  
Author(s):  
Rian Rahmanda Putra ◽  
Wanda Kinasih ◽  
Dana Indra Sensuse

Cloud computing is an innovation that allows the use of IT as a utility based on-demand. Since cloud computing is a new technology, its led to a variety of risks that required an assessment model to assess the organization's readiness to adopt cloud computing. Moreover, by using cloud computing services means organizations or outsourcing involves a third party. Before adopting cloud computing technology, organizations need to consider some of the effects that arise as a result of cloud computing, namely in terms of costs, risks and benefits. To assist organizations to consider the migration of existing IT systems to the cloud, it can be used the cost approach valuation models and risk and benefit. This paper discusses two models of cost-based assessment of risk and benefit modeling and modeling that can be used as a tool to assist organizations in making decisions related to the migration of existing IT systems to the cloud. 


2022 ◽  
Vol 2022 ◽  
pp. 1-12
Author(s):  
Se-Joon Park ◽  
Yong-Joon Lee ◽  
Won-Hyung Park

Recently, due to the many features and advantages of cloud computing, “cloud service” is being introduced to countless industries around the world at an unbelievably rapid pace. However, with the rapid increase in the introduction of cloud computing services, security vulnerabilities are increasing and the risk of technology leakage from cloud computing services is also expected to increase in social network service. Therefore, this study will propose an AWS-based (Amazon Web Services) security architecture configuration method that can be applied for the entire life cycle (planning, establishment, and operation) of cloud services for better security in AWS Cloud Services, which is the most used cloud service in the world. The proposed AWS security guide consists of five different areas, Security Solution Selection Guide, Personal Information Safeguard Guide, Security Architecture Design Guide, Security Configuration Guide, and Operational Security Checklist, for a safe social network. The AWS Security Architecture has been designed with three reference models: Standard Security Architecture, Basic Security Architecture, and Essential Security Architecture. The AWS Security Guide and AWS Security Architecture proposed in this paper are expected to help many businesses and institutions that are hoping to establish and operate a safe and reliable AWS cloud system in the social network environment.


2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Daeyong Jung ◽  
JongBeom Lim ◽  
Heonchang Yu ◽  
Taeweon Suh

In cloud computing, users can rent computing resources from service providers according to their demand. Spot instances are unreliable resources provided by cloud computing services at low monetary cost. When users perform tasks on spot instances, there is an inevitable risk of failures that causes the delay of task execution time, resulting in a serious deterioration of quality of service (QoS). To deal with the problem on spot instances, we propose an estimated interval-based checkpointing (EIC) using weighted moving average. Our scheme sets the thresholds of price and execution time based on history. Whenever the actual price and the execution time cross over the thresholds, the system saves the state of spot instances. The Bollinger Bands is adopted to inform the ranges of estimated cost and execution time for user's discretion. The simulation results reveal that, compared to the HBC and REC, the EIC reduces the number of checkpoints and the rollback time. Consequently, the task execution time is decreased with EIC by HBC and REC. The EIC also provides the benefit of the cost reduction by HBC and REC, on average. We also found that the actual cost and execution time fall within the estimated ranges suggested by the Bollinger Bands.


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