Effective Resource Utilization in Hadoop Using Ganglia

Beaula Srungarapati*, Mounika Pamarthi, Vaishnavi Vakada, Anusha Hegde, Biswajit Bhowmik

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The exponential growth of big data has led to the widespread adoption of Hadoop clusters for storing and processing large volumes of data. Efficient management of resources within these clusters is crucial for achieving optimal performance and cost efficiency. This research paper explores the use of Hadoop and Ganglia for monitoring and optimizing resource utilization in Hadoop clusters. The study demonstrates that leveraging Hadoop and Ganglia is an effective strategy for improving cluster performance and resource efficiency. Results show significant enhancements in cluster performance and resource utilization, highlighting the importance of proactive resource management in Hadoop environments.

    Original languageEnglish
    Title of host publication3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024
    EditorsAasheesh Shukla, Manish Gupta, Manish Kumar, Shreesh Kumar Shrivastava
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798331528201
    DOIs
    Publication statusPublished - 2024
    Event3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024 - Mathura, India
    Duration: 06-12-202407-12-2024

    Publication series

    Name3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024

    Conference

    Conference3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024
    Country/TerritoryIndia
    CityMathura
    Period06-12-2407-12-24

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Networks and Communications
    • Signal Processing
    • Safety, Risk, Reliability and Quality
    • Logic
    • Control and Optimization

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