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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Greening big data networks: velocity impact
ترجمه فارسی عنوان مقاله:
گرمایش شبکه های داده های بزرگ: تاثیر سرعت
منبع:
IEEE - IET Optoelectron:, 2018, Vol: 12 Iss: 3, pp: 126-135
نویسنده:
Ali M. Al-Salim1 , Taisir E.H. El-Gorashi1, Ahmed Q. Lawey1, Jaafar M.H. Elmirghani1,2
چکیده انگلیسی:
The authors investigate the impact of big datas velocity on greening IP over WDM networks. They classify the
processing velocity of big data into two modes: expedited-data and relaxed-data modes. Expedited-data demands higher
amount of computational resources to reduce the execution time compared with the relaxed-data. They developed a mixed
integer linear programming model to progressively process big data at strategic locations, dubbed processing nodes (PNs), built
into the network along the path from the source to the destination. The extracted information from the raw traffic is smaller in
volume compared with the original traffic each time the data is processed, hence, reducing network power consumption. The
results showed that up to 60% network power saving is achieved when nearly 100% of the data required relaxed processing. In
contrast, only 15% of network power saving is gained when nearly 100% of the data required expedited processing. The authors
obtained around 33% power saving in the mixed modes (i.e. when ∼50% of the data is processed in the relaxed mode and 50%
of the data is processed in expedited mode), compared with the classical approach where all the processing is achieved inside
the centralised data centres only.
قیمت: رایگان
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