Effects of Cluster Computing on Big Data Analysis and Network Topology

Year : 2023 | Volume :01 | Issue : 01 | Page : 31-39
By

Sanchi S. Achalkhamb

Krishna T. Madrewar

  1. Student Department of Electronics and telecommunication Engineering, Deogiri Institute of Engineering and Management studies College, Chhatrapati Sambhajinagar Maharashtra India
  2. Assistant Professor Department of Electronics and telecommunication Engineering, Deogiri Institute of Engineering and Management studies College, Chhatrapati Sambhajinagar, Maharashtra India

Abstract

The rapid expansion of big data has posed substantial difficulties for conventional computing systems. As a result, cluster computing has grown to be a potent method for effective large data processing. Cluster computing involves multiple interconnected nodes functioning as a unified system, pooling together their processing, storage, and memory resources. These nodes are typically connected through high-speed networks such as ethernet or InfiniBand, facilitating efficient data sharing and communication among them. Big data has made cluster computing frameworks like Apache Hadoop and Apache Spark very popular. These frameworks provide accessible tools and libraries that make creating and running parallel computing tasks on a cluster easier. Additionally, they have fault tolerance methods to ensure system resilience in the event of node failures, protecting data integrity and allowing computation to continue without interruption. By leveraging interconnected computers working in unison, cluster computing enables parallel processing, leading to faster and more scalable data analysis. This paper examines the effects of cluster computing on both big data analysis and network topology.

Keywords: Big data analysis, cluster computing, network topology, computing systems, highperformance computing, high bandwidth

[This article belongs to International Journal of Algorithms Design and Analysis Review(ijadar)]

How to cite this article: Sanchi S. Achalkhamb, Krishna T. Madrewar. Effects of Cluster Computing on Big Data Analysis and Network Topology. International Journal of Algorithms Design and Analysis Review. 2023; 01(01):31-39.
How to cite this URL: Sanchi S. Achalkhamb, Krishna T. Madrewar. Effects of Cluster Computing on Big Data Analysis and Network Topology. International Journal of Algorithms Design and Analysis Review. 2023; 01(01):31-39. Available from: https://journals.stmjournals.com/ijadar/article=2023/view=116589





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Regular Issue Subscription Review Article
Volume 01
Issue 01
Received June 21, 2023
Accepted June 30, 2023
Published August 24, 2023