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  • 标题:Recent Issues and Challenges on Big Data in Cloud Computing
  • 本地全文:下载
  • 作者:Dr. Jangala. Sasi Kiran ; M.Sravanthi ; K.Preethi
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2015
  • 卷号:6
  • 期号:2
  • 页码:98-102
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:We live in on-demand, on-command digital universe with data rapid reproducing by Institutions, Individuals and tools at very high rate. This data is categorized as “Big Data” due to its absolute Volume, Variety, Velocity and Veracity. Most of the data is partly structured, unstructured or semi structured and it is heterogeneous in nature. Due to its specific nature, Big Data is stored in distributed file system architectures. Hadoop and HDFS by Apache are widely used for storing and managing Big Data. Analyzing it, is a challenging task as it involves large distributed file systems which should be fault tolerant, flexible and scalable. Cloud computing plays a very vital role in protecting the data, applications and the related infrastructure with the help of policies, new technologies, controls, and big data tools. Moreover, cloud computing, applications of Big data, and its advantages are likely to represent the most promising new frontiers in science. The technology issues, like Storage and data transport are seem to be solvable in the near-term, but represent long term challenges that require research and new paradigms. Analyzing the issues and challenges comes first as we begin a collaborative research program into methodologies for big data analysis and design.
  • 关键词:Big Data;Cloud Computing and Map Reduce
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