توضیحات
With the rapid growth of emerging applications like social network analysis, semantic Web analysis and bioinformatics network analysis, a variety of data to be processed continues to witness a quick increase. Effective management and analysis of large-scale data poses an interesting but critical challenge. Recently, big data has attracted a lot of attention from academia, industry as well as government. This paper introduces several big data processing technics from system and application aspects. First, from the view of cloud data management and big data processing mechanisms, we present the key issues of big data processing, including cloud computing
platform, cloud architecture, cloud database and data storage scheme.
Following the MapReduce parallel processing framework, we then introduce MapReduce optimization strategie
and applications reported in the literature. Finally, we discuss the open issues and challenges, and deeply explore the research directions in the future on big data processing in cloud computing environments
by :Changqing Ji∗, Yu Li, Wenming Qiu, Uchechukwu Awada, Keqiu Li
information file :English languege /7 page/size:124 k
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کاری از :Changqing Ji∗†, Yu Li, Wenming Qiu, Uchechukwu Awada, Keqiu Li
اطلاعات فایل :زبان انگلیسی /7صفحه /حجم :124K
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