Research on university laboratory management and maintenance framework based on computer aided technology
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| Publicat a: | Applied Mathematics and Nonlinear Sciences vol. 10, no. 1 (2025) |
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| Autor principal: | |
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De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
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| Accés en línia: | Citation/Abstract Full Text - PDF |
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| 001 | 3190340694 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2444-8656 | ||
| 024 | 7 | |a 10.2478/amns-2025-0124 |2 doi | |
| 035 | |a 3190340694 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Yao, Jiaqing |u Information Technology Center, Shanghai Lixin University of Accounting and Finance, ShangHai, 201600, ShangHai, China | |
| 245 | 1 | |a Research on university laboratory management and maintenance framework based on computer aided technology | |
| 260 | |b De Gruyter Brill Sp. z o.o., Paradigm Publishing Services |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This With the development of information technology, university laboratories play an increasingly important role in teaching and research. However, traditional laboratory management methods have many shortcomings in terms of resource scheduling, system flexibility, and automation, making it difficult to adapt to the constantly changing demands and complex experimental environments. Traditional methods often rely on manual management, resulting in low resource utilization efficiency and potential resource waste or scheduling imbalance under high concurrency conditions. Moreover, traditional management models lack real-time monitoring and flexible scheduling capabilities, failing to meet the requirements of efficient modern laboratory management. To address these issues, this paper proposes a computer laboratory management method based on virtualization technology. By designing a multi-layer management platform architecture, including the platform management layer, desktop virtualization service layer, and desktop virtualization foundation layer, a complete laboratory management system is formed, enhancing resource utilization and automation levels. This paper also introduces a Column Generation-based Shared Resource Constrained Project Scheduling Algorithm (CGS) to achieve efficient resource allocation and optimized scheduling. Experimental results show that the proposed method outperforms traditional methods in resource utilization, task completion time, and system flexibility, providing an effective solution for university laboratory management. | |
| 653 | |a Scheduling | ||
| 653 | |a Automation | ||
| 653 | |a Laboratories | ||
| 700 | 1 | |a Zheng, Yuan |u Information Technology Center, Shanghai Lixin University of Accounting and Finance, ShangHai, 201600, ShangHai, China | |
| 773 | 0 | |t Applied Mathematics and Nonlinear Sciences |g vol. 10, no. 1 (2025) | |
| 786 | 0 | |d ProQuest |t Publicly Available Content Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3190340694/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3190340694/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |