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DAG-Based Task Scheduling Optimization in Heterogeneous Distributed Systems

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Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2012))

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Abstract

The scheduling of tasks with limited resources in cloud computing systems has been a popular research topic. One approach to addressing this problem is to employ dynamic voltage and frequency scaling (DVFS) techniques to further constrain energy consumption. In this paper, we investigate the scheduling of directed acyclic graph (DAG) tasks in heterogeneous distributed systems while considering both resource and energy constraints. We aim to decrease the duration required for task scheduling. To accomplish this, we propose a task scheduling framework that takes into account energy constraints, which provides an initial solution at the start. Additionally, we introduce a heuristic, the firefly algorithm, to further enhance the initial solution. Finally, we conduct experiments with various settings and parameters, and the experimental statistics demonstrate our suggested method exhibits a performance gain that is at least twice as significant as that of other benchmark algorithms.

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Authors and Affiliations

  1. Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Chen Chen & Jie Zhu

  2. State Key Laboratory Chinese of Computer Architecture, Institute of Computing Technology, Academy of Sciences, Beijing, 100864, China

    Jie Zhu

Authors
  1. Chen Chen
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  2. Jie Zhu
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Corresponding author

Correspondence to Jie Zhu .

Editor information

Editors and Affiliations

  1. Shandong University, Jinan, China

    Yuqing Sun

  2. Fudan University, Shanghai, China

    Tun Lu

  3. Harbin Engineering University, Harbin, China

    Tong Wang

  4. Tongji University, Shanghai, China

    Hongfei Fan

  5. Guangdong University of Technology, Guangzhou, China

    Dongning Liu

  6. Tongji University, Shanghai, China

    Bowen Du

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chen, C., Zhu, J. (2024). DAG-Based Task Scheduling Optimization in Heterogeneous Distributed Systems. In: Sun, Y., Lu, T., Wang, T., Fan, H., Liu, D., Du, B. (eds) Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2023. Communications in Computer and Information Science, vol 2012. Springer, Singapore. https://doi.org/10.1007/978-981-99-9637-7_23

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  • DOI: https://doi.org/10.1007/978-981-99-9637-7_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9636-0

  • Online ISBN: 978-981-99-9637-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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