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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19440
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Total Authors : 21252
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| Paper Title: | Dynamic Resource-Aware Scheduling for Enhanced Performance in Heterogeneous Hadoop Clusters |
| Authors Name: | Sunkari Mahesh , Dr K Ram Mohan Rao |
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| Author Reg. ID: |
IJRTI_188772
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| Published Paper Id: | IJRTI2312085 |
| Published In: | Volume 8 Issue 12, December-2023 |
| DOI: | |
| Abstract: | — In the realm of big data processing, Hadoop clusters play a pivotal role. However, the increasing energy demand and the need for efficient resource utilization in these clusters remain a challenge. This research introduces a novel resource-aware scheduling algorithm aimed at enhancing the performance and energy efficiency of heterogeneous Hadoop clusters. Unlike conventional scheduling algorithms that overlook the varied capabilities of individual nodes, our algorithm dynamically assigns tasks based on real-time resource availability and node-specific performance metrics. The algorithm profiles each node for CPU, memory, disk, and network capabilities, and tasks are characterized by their resource demands to ensure a precise match during scheduling. Experimental results, derived from a series of benchmarks on a simulated Hadoop environment, indicate a significant improvement in resource utilization and energy efficiency. The proposed algorithm not only reduces the overall energy consumption by optimizing task allocation but also decreases the task completion time, thereby increasing throughput. These advancements contribute to a sustainable and cost-effective operation of Hadoop clusters, which is crucial for energy-intensive big data processes. The implications of this research are profound, offering a scalable solution that can adapt to the evolving landscape of data analytics infrastructure. |
| Keywords: | Hadoop Clusters, Big Data Processing, Resource-Aware Scheduling, Heterogeneous Computing, Energy Efficiency, Performance Optimization, Task Allocation, Node Profiling. |
| Cite Article: | "Dynamic Resource-Aware Scheduling for Enhanced Performance in Heterogeneous Hadoop Clusters", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 12, page no.601 - 610, December-2023, Available :http://www.ijrti.org/papers/IJRTI2312085.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2312085
Registration ID:188772
Published In: Volume 8 Issue 12, December-2023
DOI (Digital Object Identifier):
Page No: 601 - 610 Country: R R District, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2312085 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2312085 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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