Priority Based Scheduler for Asymmetric Multi-core Edge Computing

Authors

  • Rupendra Pratap Singh Hada Indin Institute of Technology Indore, 452020, India
  • Abhishek Srivastava Indin Institute of Technology Indore, 452020, India

DOI:

https://doi.org/10.13052/jwe1540-9589.2262

Keywords:

Asymmetric multi-core processors, completely fair scheduler, edge computing, scheduling

Abstract

Edge computing technology has gained popularity due to its ability to process data near the source or collection device, benefiting from low bandwidth utilization and enhanced security. Edge devices are typically equipped with multiple devices that employ asymmetric multi-cores for efficient data processing. To ensure optimal performance, it is crucial to carefully assign tasks to the appropriate cores in asymmetric multi-core processors. However, the current Linux scheduler needs to consider the capabilities of individual cores when assigning tasks. Consequently, high-priority tasks may be assigned to energy-efficient cores, while low-priority tasks end up on high-performance cores. This sub-optimal task assignment negatively impacts the overall system performance. To address this issue, a new algorithm has been proposed. This algorithm considers both the core’s capabilities and the task’s priority. However, due to the asymmetric nature of the cores, prior knowledge of each core’s speed is necessary. The algorithm fetches the priorities of the tasks and classifies them into high, medium, and low-priority categories. High-priority tasks are scheduled on high-performance cores, while medium and low-priority tasks are allocated to energy-efficient cores. The proposed algorithm demonstrates superior performance for high-priority tasks compared to the existing Linux task scheduling algorithm. It significantly improves task scheduling time by up to 16%, thereby enhancing the system’s overall efficiency.

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Author Biographies

Rupendra Pratap Singh Hada, Indin Institute of Technology Indore, 452020, India

Rupendra Pratap Singh Hada is a PhD Research Scholar in Indian Institute of Technology (IIT), Indore, India. Previously, he worked as an assistant professor at the BCST, Indore, India. He received his first degree in computer science engineering from the RGPV University, Bhopal, India in 2015, and he is postgraduate in Computer Engineering from the Shri Govindram Seksaria Institute of Technology and Science, Indore, India in 2019. His PhD research is focused on the Applications of Machine Learning in WSNs.

Abhishek Srivastava, Indin Institute of Technology Indore, 452020, India

Abhishek Srivastava is a Professor in the Discipline of Computer Science and Engineering at the Indian Institute of Technology Indore. He completed his Ph.D. in 2011 from the University of Alberta, Canada. Abhishek’s group at IIT Indore has been involved in research on service-oriented systems most commonly realised through web-services. More recently, the group has been interested in applying these ideas in the realm of Internet of Things. The ideas explored include coming up with technology agnostic solutions for seamlessly linking heterogeneous IoT deployments across domains. Further, the group is also delving into utilising Machine Learning adapted for constrained environments to effectively make sense of the huge amounts of data that emanate from the vast network of IoT deployments.

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Published

2023-12-26

How to Cite

Hada, R. P. S. ., & Srivastava, A. . (2023). Priority Based Scheduler for Asymmetric Multi-core Edge Computing. Journal of Web Engineering, 22(06), 871–888. https://doi.org/10.13052/jwe1540-9589.2262

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Section

BECS 2023