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“Saksham Model” Performance Improvisation Using Node Capability Evaluation in Apache Hadoop

“Saksham Model” Performance Improvisation Using Node Capability Evaluation in Apache Hadoop

Ankit Shah, Mamta C. Padole
Copyright: © 2021 |Pages: 21
ISBN13: 9781799853398|ISBN10: 179985339X|EISBN13: 9781799853404
DOI: 10.4018/978-1-7998-5339-8.ch062
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MLA

Shah, Ankit, and Mamta C. Padole. "“Saksham Model” Performance Improvisation Using Node Capability Evaluation in Apache Hadoop." Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, edited by Information Resources Management Association, IGI Global, 2021, pp. 1282-1302. https://doi.org/10.4018/978-1-7998-5339-8.ch062

APA

Shah, A. & Padole, M. C. (2021). “Saksham Model” Performance Improvisation Using Node Capability Evaluation in Apache Hadoop. In I. Management Association (Ed.), Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing (pp. 1282-1302). IGI Global. https://doi.org/10.4018/978-1-7998-5339-8.ch062

Chicago

Shah, Ankit, and Mamta C. Padole. "“Saksham Model” Performance Improvisation Using Node Capability Evaluation in Apache Hadoop." In Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, edited by Information Resources Management Association, 1282-1302. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-5339-8.ch062

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Abstract

Big Data processing and analysis requires tremendous processing capability. Distributed computing brings many commodity systems under the common platform to answer the need for Big Data processing and analysis. Apache Hadoop is the most suitable set of tools for Big Data storage, processing, and analysis. But Hadoop found to be inefficient when it comes to heterogeneous set computers which have different processing capabilities. In this research, we propose the Saksham model which optimizes the processing time by efficient use of node processing capability and file management. The proposed model shows the performance improvement for Big Data processing. To achieve better performance, Saksham model uses two vital aspects of heterogeneous distributed computing: Effective block rearrangement policy and use of node processing capability. The results demonstrate that the proposed model successfully achieves better job execution time and improves data locality.

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