Space-based resource capacity virtualization method and system based on situation and demand hybrid drive
The invention belongs to the technical field of space-based resource management and scheduling, and particularly relates to a space-based resource capacity virtualization method and system based on situation and demand hybrid drive. The method comprises the steps that heterogeneous situation data an...
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Format | Patent |
Language | Chinese English |
Published |
02.07.2024
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Abstract | The invention belongs to the technical field of space-based resource management and scheduling, and particularly relates to a space-based resource capacity virtualization method and system based on situation and demand hybrid drive. The method comprises the steps that heterogeneous situation data and task demand data of a single satellite or a satellite cluster are collected, feature extraction is conducted on different types of data, then fusion is conducted, and preprocessing is achieved; a deep learning method is adopted for the preprocessed data, and high-dimensional feature vectors are output; and based on the high-dimensional feature vector, according to resource feature constraints, task element constraints and situation environment constraints, generating virtualization capability description through a basic algorithm, a constraint algorithm and an evaluation algorithm. According to the method, more comprehensive and more accurate space-based system state description can be provided, the accuracy of r |
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AbstractList | The invention belongs to the technical field of space-based resource management and scheduling, and particularly relates to a space-based resource capacity virtualization method and system based on situation and demand hybrid drive. The method comprises the steps that heterogeneous situation data and task demand data of a single satellite or a satellite cluster are collected, feature extraction is conducted on different types of data, then fusion is conducted, and preprocessing is achieved; a deep learning method is adopted for the preprocessed data, and high-dimensional feature vectors are output; and based on the high-dimensional feature vector, according to resource feature constraints, task element constraints and situation environment constraints, generating virtualization capability description through a basic algorithm, a constraint algorithm and an evaluation algorithm. According to the method, more comprehensive and more accurate space-based system state description can be provided, the accuracy of r |
Author | LEE YOUNG-OK MENG XIN YANG YUXUAN |
Author_xml | – fullname: YANG YUXUAN – fullname: LEE YOUNG-OK – fullname: MENG XIN |
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DocumentTitleAlternate | 基于态势及需求混合驱动的天基资源能力虚拟化方法和系统 |
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Snippet | The invention belongs to the technical field of space-based resource management and scheduling, and particularly relates to a space-based resource capacity... |
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SubjectTerms | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
Title | Space-based resource capacity virtualization method and system based on situation and demand hybrid drive |
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