Cloud Computing with e-Science Applications by Olivier Terzo, Lorenzo Mossucca

By Olivier Terzo, Lorenzo Mossucca

The volume of information in lifestyle has been exploding. this knowledge bring up has been specially major in medical fields, the place tremendous quantities of knowledge needs to be captured, communicated, aggregated, kept, and analyzed. This e-book describes how cloud computing can considerably increase info administration in numerous medical fields, comparable to bioinformatics, earth technological know-how, and computing device technology. This publication specializes in how cloud computing is helping within the parts of source keep an eye on, vertical and horizontal scalability, and adaptive scheduling.

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Scientific research and discovery methods typically are based on the initial hypothesis and a model that can be refined based on the collected data. The refined model may lead to a new, more advanced and precise experiment or reevaluation of the previous data. Another distinctive feature of modern scientific research is that it suggests wide cooperation between researchers to challenge complex ­problems and run complex scientific instruments. In industry, private companies will not share data or expertise.

Biomedical data (health care, clinical case data) are privacy-sensitive data and must be handled according to the European policy on processing of personal data [27]. Biodiversity research [17] involves research data and research specialists from at least biology and environmental research and may include data about climate, weather, and satellite observation. This primarily presents challenges for not only integrating different sources of information with different data models and processing a huge amount of collected information but also may require fast data processing in case of natural disasters.

The following equation calculates the yearly cost: BSYC = Acq$ + Ymn$ LT Using this value and the cost efficiency factor, we can determine the break-even point. 2 Break-even point. Buy a server Break Even Point Dec/31 14 Cloud Computing with e-Science Applications basis; to obtain the number of days, the yearly cost is divided by the cost efficiency factor times 24. The following equation represents the break-even point calculation: BEP = BSYC CEF × 24 where BEP represents the break-even point, BSYC represents the calculated yearly cost of the base system, CEF represents the cost efficiency factor, and 24 is the number of hours in a day.

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