By Olivier Terzo, Lorenzo Mossucca
The volume of information in way of life has been exploding. this information elevate has been in particular major in medical fields, the place massive quantities of knowledge needs to be captured, communicated, aggregated, saved, and analyzed. This ebook describes how cloud computing can considerably increase info administration in numerous clinical fields, similar to bioinformatics, earth technology, and desktop technological know-how. This booklet specializes in how cloud computing is helping within the parts of source keep watch over, vertical and horizontal scalability, and adaptive scheduling.
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Extra info for Cloud Computing with e-Science Applications
To determine this, two calculations can be used, the cost efficiency factor and the break-even point . 1 Cost Efficiency Factor To calculate the cost efficiency factor for different systems, two values are required. The first one is the cost of the cloud systems. This cost, in the great majority of cloud providers, is expressed as cost per hour. The second value is the overhead factor. To determine this factor, it is necessary to execute the same workload in all the candidate systems and in the base system.
We want to compare the acquisition of a new cluster to a public cloud provider to verify which presents the best solution in our case. The first step is to verify if the application can be executed on both systems; because of the Unix execution model, it is compatible with the new cluster and with the cloud since both have a compatible operating system. The cloud provides adequate tools to create a cluster-like environment to execute p arallel applications, and the delivery procedures are performed using standard network protocols, such as FTP (file transfer protocol).
The NIST Definition of Cloud Computing. Tech. Rep. 2011. com/research/the-nist-definition-about-cloud- computing/. 4. E. Roloff, F. Birck, M. Diener, A. Carissimi, and P. O. A. Navaux. Evaluating high performance computing on the Windows Azure platform. In Proceedings of the 2012 IEEE 5th International Conference on Cloud Computing (CLOUD 2012), 2012, pp. 803–810. D. Kondo, B. Javadi, P. Malecot, F. Cappello, and D. Anderson. Cost-benefit analysis of cloud computing versus desktop grids. In Parallel Distributed Processing, 2009.