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January 1, 2025International Journal of Ad Hoc and Ubiquitous ComputingOpen Access

Optimising Job Scheduling in Apache Spark: A Simulation Framework for Algorithm Comparison and Performance Prediction

Vishnu Prasad Verma Santosh Kumar Srinivas Naik Nenavath

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Key Points

The research aims to enhance job scheduling efficiency in Apache Spark through a comparative simulation framework.
Developed a simulation framework to analyze different job scheduling algorithms.
Conducted performance evaluations based on various workload scenarios.
Utilized Apache Spark as the platform for testing scheduling algorithms.
Identified the most efficient scheduling algorithm for resource management in Spark.
Demonstrated performance improvements over traditional scheduling methods with quantified metrics.
Revealed significant differences in execution times across tested algorithms.

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Implication

Evaluates job scheduling algorithms' performance in Apache Spark, suggesting improved resource management.

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Cite This Study

Verma et al. (2025) studied this question.

synapsesocial.com/papers/6a13e81d0e02ee3982d32c2b https://doi.org/10.1504/ijahuc.2025.10078686

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