REAL TIME DATA PROCESSING USING STORM

Authors

  • Prof.Minal Nerkar Computer Science, AISSMS IOIT
  • Aravind Iyer Computer Science, AISSMS IOIT
  • Swapnil Joshi Computer Science, AISSMS IOIT
  • Mehulkumar Shilu Computer Science, AISSMS IOIT
  • Ashit Singh Computer Science, AISSMS IOIT

Keywords:

STORM, SAMOA, Stream Data, Spout, Bolt, Vertical Hoeffding Tree Algorithm, Processor Item

Abstract

As the world is developing, internet has become important part of our life. Every Person is accessing the
Internet through Smart phones, Laptops, IPad, and Desktop. It is very difficult to store and process the real-time data by
Internet Service providers and Network Administrator. The Streaming source or continuous source can be structured,
unstructured, Semi-structured. The given data is scattered in such a way which will take great efforts to find the
relevance. Performing such operations manually is infeasible hence we can introduce machine learning to fasten up the
process. Hence we propose a new architecture, designed to perform Real-time stream processing and analysis using
Apache SAMOA and Apache Storm.

Published

2022-08-23

How to Cite

Prof.Minal Nerkar, Aravind Iyer, Swapnil Joshi, Mehulkumar Shilu, & Ashit Singh. (2022). REAL TIME DATA PROCESSING USING STORM. International Journal of Advance Engineering and Research Development (IJAERD), 3(13), -. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/5835