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Directed Acyclic Graph Based Task Scheduling Algorithm for Heterogeneous Systems

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Intelligent Systems and Applications (IntelliSys 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 869))

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Abstract

Effective task scheduling in heterogeneous computing systems is a very challenging and crucial task. Inter process communication and the heterogeneity of resources plays an important role in task scheduling. To achieve the efficiency tasks are assigned to best suited processor while minimizing communication cost. This directly increases the performance and is referred as completion time. Such problems in a distributed system are considered as NP hard problems. Many solutions are proposed in literature for solving this issue. Directed Acyclic Graph (DAG) is also used to solve the issue of performance in distributed networks. A new heuristic is in this paper based on DAG is proposed for task scheduling on tasks order, average communication cost and best available processor/resource. The experimental study shows the proposed approach give promising results. The performance of proposed heuristic is illustrated by comparing the schedule time, efficiency and schedule length with other well-known algorithms for task scheduling.

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Author information

Authors and Affiliations

  1. Department of Computer Science, COMSATS Institute of Information Technology, Attock Campus, Islamabad, Pakistan

    Rehan Tariq, Farhan Aadil, Sadia Ejaz, Muhammad Umair Khan & Muhammad Fahad Khan

  2. Department of Electrical Engineering, COMSATS Institute of Information Technology, Attock Campus, Islamabad, Pakistan

    Muhammad Faizan Malik

Authors
  1. Rehan Tariq
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  2. Farhan Aadil
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  3. Muhammad Faizan Malik
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  4. Sadia Ejaz
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  5. Muhammad Umair Khan
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  6. Muhammad Fahad Khan
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Corresponding author

Correspondence to Rehan Tariq .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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Tariq, R., Aadil, F., Malik, M.F., Ejaz, S., Khan, M.U., Khan, M.F. (2019). Directed Acyclic Graph Based Task Scheduling Algorithm for Heterogeneous Systems. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 869. Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_69

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