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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2017
عنوان انگلیسی مقاله:
A Survey on Emerging Computing Paradigms for Big Data
ترجمه فارسی عنوان مقاله:
بررسی پارادایم های محاسباتی نوظهور برای داده های بزرگ
منبع:
IEEE - Chinese Journal of Electronics Vol.26, No.1, Jan. 2017
نویسنده:
ZHANG Yaoxue1, REN Ju1, LIU Jiagang1, XU Chugui1, GUO Hui1 and LIU Yaping
چکیده انگلیسی:
The explosive growth of data volume and
the ever-increasing demands of data value extraction have
driven us into the era of big data. The “5V” (Variety,
Velocity, Volume, Value, and Veracity) characteristics of
big data pose great challenges to traditional computing
paradigms and motivate the emergence of new solutions.
Cloud computing is one of the representative technologies
that can perform massive-scale and complex data computing by taking advantages of virtualized resources, parallel
processing and data service integration with scalable data
storage. However, as we are also experiencing the revolution of Internet-of-things (IoT), the limitations of cloud
computing on supporting lightweight end devices significantly impede the flourish of cloud computing at the intersection of big data and IoT era. It also promotes the urgency of proposing new computing paradigms. We provide
an overview on the topic of big data, and a comprehensive survey on how cloud computing as well as its related
technologies can address the challenges arisen by big data.
Then, we analyze the disadvantages of cloud computing
when big data encounters IoT, and introduce two promising computing paradigms, including fog computing and
transparent computing, to support the big data services
of IoT. Finally, some open challenges and future directions
are summarized to foster continued research efforts into
this evolving field of study.
Key words : Computing paradigm | Big data | Cloud computing | Transparent computing | Fog computing | Int ernet-of-things (IoT)
قیمت: رایگان
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