Research on heterogeneous computing resource scheduling mechanism for power information system operation

Yunpeng Li; Zheng Li; Fuxiang Zhang; Ruiting Qu

doi:10.1117/12.3026118

15 March 2024 Research on heterogeneous computing resource scheduling mechanism for power information system operation

Yunpeng Li, Zheng Li, Fuxiang Zhang, Ruiting Qu

Proceedings Volume 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023); 130750W (2024) https://doi.org/10.1117/12.3026118
Event: Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 2023, Kunming, China

Abstract

Most power companies are undergoing a critical period of digital transformation, and information systems are an important carrier of digital transformation. The success of digitalization depends on whether the support of information systems is comprehensive and reliable. The operation modes of information systems are diverse, and the functions of information systems are also closely related to power applications. The scheduling of data applications and computing resources in various aspects of power varies greatly, making it difficult to unify scheduling. There are also various types of computing power, such as traditional processors and graphics processors. In response to this issue, this article proposes a heterogeneous computing resource scheduling method for the operation of power information systems. Firstly, analyze the computing resources and arrange the tasks of the computing resources in a unified manner according to the requirements of computing power invocation and task requirements. Secondly, based on the classification of computing resource types in the process of power production and construction, a secondary compilation of widely distributed computing resources is carried out, with a focus on meeting the computing needs of important power nodes. Simultaneously considering the inclusion of cloud computing resources in the computing power resource scheduling system, cloud computing resources are allocated for decentralized small-scale computing power requests to improve computing power scheduling planning. To promote the efficient operation, management, and maintenance of information systems, provide strong support for the development of power production work, and standardize and improve the operation mode of information systems, so that the power information system has high timeliness and reliability.

Citation Download Citation

Yunpeng Li, Zheng Li, Fuxiang Zhang, and Ruiting Qu "Research on heterogeneous computing resource scheduling mechanism for power information system operation", Proc. SPIE 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 130750W (15 March 2024); https://doi.org/10.1117/12.3026118

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KEYWORDS

Distributed computing

Clouds

Computing systems

Cloud computing

Information operations

Machine learning

Detection and tracking algorithms

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