Analysis of technologies and algorithms for management of computing resources in video data processing

Managing computational resources in video data processing involves planning, distributing, monitoring, and controlling various types of computational resources such as computing power, network resources, data storage, etc., to ensure their effective use in processing large volumes of video data. This process includes a complex of various tasks for processing, analyzing, and modifying data, which requires significant computational power. Video data are large in size and require a lot of storage space, which can lead to problems such as data transmission delays and data loss. Special hardware and software tools, which can be quite expensive and complex to configure, are usually required for processing video data. This paper provides a comprehensive analysis of existing methods and means for solving the tasks of distributing and managing computational resources in the modern systems of video data processing. Existing modern algorithms and technologies, including those based on artificial intelligence, are examined in detail, identifying their main advantages and disadvantages.