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 language | English |
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| Title of host publication | 3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024 |
| Editors | Aasheesh Shukla, Manish Gupta, Manish Kumar, Shreesh Kumar Shrivastava |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331528201 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024 - Mathura, India Duration: 06-12-2024 → 07-12-2024 |
Publication series
| Name | 3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024 |
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Conference
| Conference | 3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024 |
|---|---|
| Country/Territory | India |
| City | Mathura |
| Period | 06-12-24 → 07-12-24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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SDG 12 Responsible Consumption and Production
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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