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This paper presents a novel approach to task scheduling in multicore systems, aiming to enhance core utilization, reduce turnaround time, and balance load across cores. The proposed solution is a hybrid scheduler that synergistically combines the Global Earliest Deadline First (EDF) and Partitioned Least Laxity First (LLF) algorithms. Upon task arrival, the scheduler assigns tasks to available cores using the EDF strategy. Preliminary results indicate that this hybrid approach significantly improves overall system performance and efficiency. Further details of the design and implementation process, as well as comprehensive performance evaluations, will be discussed in the full paper.

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Hybrid Task Scheduling for Multi-core Systems Using Global EDF and Partitioned LLF Algorithms

  • 会议论文

  • 发表日期：

    2025年

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  • Dhruva R. Rinku,
  • M. Vindhya Vaasini,
  • K. Sreeja,
  • D. Renuka Chowdary

摘要

This paper presents a novel approach to task scheduling in multicore systems, aiming to enhance core utilization, reduce turnaround time, and balance load across cores. The proposed solution is a hybrid scheduler that synergistically combines the Global Earliest Deadline First (EDF) and Partitioned Least Laxity First (LLF) algorithms. Upon task arrival, the scheduler assigns tasks to available cores using the EDF strategy. Preliminary results indicate that this hybrid approach significantly improves overall system performance and efficiency. Further details of the design and implementation process, as well as comprehensive performance evaluations, will be discussed in the full paper.