با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
An Efficient Industrial Big-Data Engine
یک موتور داده های بزرگ صنعتی کارآمد-2018 Current trends in industrial systems opt for the
use of different big-data engines as a means to process
huge amounts of data that cannot be processed with an
ordinary infrastructure. The number of issues an industrial
infrastructure has to face is large and includes challenges
such as the definition of different efficient architecture setups for different applications, and the definition of specific
models for industrial analytics. In this context, this paper
explores the development of a medium size big-data engine
(i.e., implementation) able to improve the performance in
map-reduce computing by splitting the analytic into different segments that may be processed by the engine in parallel using a hierarchical model. This type of facility reduces
end-to-end computation time for all segments with their results then merged with other information from other segments after their processing in parallel. This type of setup
increases the performance of current clusters improving I/O
operations remarkably as empirical results revealed.
Index Terms: Big-data engine, efficient infrastructure, industrial big-data, industrial infrastructure, map-reduce |
مقاله انگلیسی |