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  Published Paper Details:

  Paper Title

RAS: A Profiling based Dynamic resource allocation for Big Data streams

  Authors

  Chandarapu vijayakumar,  Madhavi Kasa

  Keywords

Big Data Streams, Profiling, Resources, Allocation

  Abstract


Big data streams have become ubiquitous due to the fact that a number of applications generate a huge amount of data at a great velocity. This made it difficult for existing data mining tools, technologies, methods, and techniques to be applied directly on big data streams due to the inherent dynamic characteristics of big data. The growing need to extract knowledge from big data streams has pioneered the challenge of selecting appropriate resources dynamically. Need for an approach that can efficiently overcome those drawbacks and to handle the stream data that takes into account of varied typed resources and application requirements integrally. The profiling of big data streams is a challenging task for getting insights. The profiling includes determining the types of data and dynamically allocating the resources.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2308581

  Paper ID - 243281

  Page Number(s) - f367-f376

  Pubished in - Volume 11 | Issue 8 | August 2023

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.35892

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Chandarapu vijayakumar,  Madhavi Kasa,   "RAS: A Profiling based Dynamic resource allocation for Big Data streams", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 8, pp.f367-f376, August 2023, Available at :http://www.ijcrt.org/papers/IJCRT2308581.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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