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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Limited Duplication-Based List Scheduling Algorithm for Heterogeneous Computing System.

Hong Guo1, Jiayin Zhou1,2, Haonan Gu1

  • 1Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430065, China.

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|July 27, 2022
PubMed
Summary
This summary is machine-generated.

LDLS is a novel heuristic scheduling algorithm for heterogeneous computing systems. It efficiently reduces task completion time with low complexity by strategically duplicating tasks.

Keywords:
heterogeneous computing systemslimited duplicationlist schedulingrandom graph generatortask duplication scheduling

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Area of Science:

  • Computer Science
  • Algorithm Design

Background:

  • Heterogeneous computing systems require efficient scheduling algorithms.
  • Duplication-based algorithms reduce completion time but increase complexity.

Purpose of the Study:

  • Introduce LDLS, a new heuristic scheduling algorithm.
  • Achieve reduced completion time with low time complexity.

Main Methods:

  • LDLS employs a three-phase approach: calculating duplication limits, computing optimistic cost tables (OCT) and task rankings (using PEFT), and dynamic task duplication during scheduling.
  • The algorithm dynamically determines task duplication to minimize successor task start times.

Main Results:

  • LDLS effectively reduces the total completion time.
  • The algorithm maintains a low time complexity compared to existing methods.
  • Experimental results show LDLS outperforms other algorithms in scheduling length and better case occurrences.

Conclusions:

  • LDLS offers an efficient solution for task scheduling in heterogeneous computing.
  • The proposed algorithm balances reduced completion time with computational efficiency.