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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Towards Green Big Data at CERN
ترجمه فارسی عنوان مقاله:
به سوی دادههای بزرگ سبز در CERN
منبع:
Sciencedirect - Elsevier - Future Generation Computer Systems, 81 (2018) 103-113: doi:10:1016/j:future:2017:11:001
نویسنده:
Tapio Niemi a,d,*, Jukka K. Nurminen a,b,c, Juha-Matti Liukkonen e, Ari-Pekka Hameri a,d
چکیده انگلیسی:
High-energy physics studies collisions of particles traveling near the speed of light. For statistically
significant results, physicists need to analyze a huge number of such events. One analysis job can take
days and process tens of millions of collisions. Today the experiments of the large hadron collider (LHC)
create 10 GB of data per second and a future upgrade will cause a ten-fold increase in data. The data
analysis requires not only massive hardware but also a lot of electricity. In this article, we discuss energy
efficiency in scientific computing and review a set of intermixed approaches we have developed in our
Green Big Data project to improve energy efficiency of CERN computing. These approaches include making
energy consumption visible to developers and users, architectural improvements, smarter management
of computing jobs, and benefits of cloud technologies. The open and innovative environment at CERN
is an excellent playground for different energy efficiency ideas which can later find use in mainstream
computing.
Keywords: Scientific computing ، Green computing ، CERN ، Energy efficiency
قیمت: رایگان
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