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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2016
عنوان انگلیسی مقاله:
A Four-Layer Architecture for Online and Historical Big Data Analytics
ترجمه فارسی عنوان مقاله:
یک معماری چهار لایه برای تجزیه و تحلیل داده های آنلاین و تاریخی بزرگ
منبع:
IEEE - 2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress
نویسنده:
Julie Yixuan Zhu, Jialing Xu, Victor O.K. Li
چکیده انگلیسی:
Big data processing and analytics technologies have
drawn much attention in recent years. However, the recent explosive growth of online data streams brings new challenges to the
existing technologies. These online data streams tend to be massive, continuously arriving, heterogeneous, time-varying and unbounded. Therefore, it is necessary to have an integrated approach to process both big static data and online big data streams. We call
this integrated approach online and historical big data analytics
(OHBDA). We propose a four-layer architecture of OHBDA, i.e.
including the storage layer, online and historical data processing
layer, analytics layer, and decision-making layer. Functionalities
and challenges of the four layers are further discussed. We conclude with a discussion of the requirements for the future OHBDA
solutions, which may serve as a foundation for future big data analytics research.
Keywords: Big data | Distributed databases | Computer architecture | Real-time systems | Data mining | Cloud computing
قیمت: رایگان
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