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Storage and Processing Speed for Knowledge from Enhanced Cloud Computing With Hadoop Frame Work : A Survey

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  • SK. Jilani Basha
  • P. Anil Kumar
  • S. Giri Babu

Abstract

Cloud is a Pool of servers, all the servers are interconnected through internet, The main problem in cloud is retrieving of data (knowledge) and process that variety of data and here other problem is security for that data, Generally now a day’s different types of, I mean variety of data (Structured, semi-structured and Unstructured data) is existed in the different social applications (face book).So, and another problem with historical data retrieving. These types of problems are resolved with help of hadoop frame work and Sqoop and flume tools. Sqoop is load the data from database to Hadoop (HDFS), and flume loads the data from server files to hadoop distributed file system. Storage problem is resolving with help of blocks in hadoop distributed file system and processing is resolving with help of map reduce and pig and hive and spark etc. This paper summarizes the storage and processing speed in the enhanced cloud with hadoop framework.

Suggested Citation

  • SK. Jilani Basha & P. Anil Kumar & S. Giri Babu, 2016. "Storage and Processing Speed for Knowledge from Enhanced Cloud Computing With Hadoop Frame Work : A Survey," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 2(2), pages 126-132, December.
    • Handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset162236
    Note: Article URL: https://ijsrset.com/IJSRSET162236
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