Abstract
The technology of software-defined changing all areas of life, but the equipment storage system in the field of application is still in its infancy. At present, the traditional equipment warehousing scheduling system is difficult to meet the new needs of rapid scheduling and flexible maintenance of large quantities of equipment. Based on the development and application characteristics of software definition technology, this paper integrates the traditional equipment storage scheduling system and presents the research on the architecture design technology of equipment storage scheduling system under software definition technology. This paper clarifies the key application technologies of the system, realizes the design of new open system architecture based on software-defined technology and the optimization design of system center service platform architecture, and improves the architecture design ability of automation, configuration ability, and easy maintenance of the existing equipment storage scheduling system. It solves the new needs of rapid deployment, intelligent upgrade, flexible configuration, and convenient service of large quantities of equipment warehouse scheduling system.
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References
Chunhui, Y., et al.: Enterprise Softwareization [M]. Publishing House of Electronics Industry, Beijing (2019)
Qiongyao, L., Hua, Q., Wenmao, L.: Service function chain design based on software defined security. J. Comput. Syst. & Appl. 27(8), 286−291 (2018)
Tianchuang, M., Jiaxing, L., Jin, H., Diange, Y., Zhihua, Z.: Study on technical system of software defined vehicles. J. Automot. Eng. 43(4), 459–468 (2021)
Lv, P., Liu, Q., Wu., Jiangxing, Chen, H., Shen, J.: New generation software defined architecture. J. Sci. China Inform. Sci. 48(3), 315–328 (2018)
Manchao, W., Haifeng, C., Lei, L., Wei, Z.: Research on the development of Software Defined Missile Technology. J. Tactical Missile Technol. 2, 93–98 (2020)
Kezhu, Z., Pinghua, Z.: Flow load balancing of data center in software-defined network architecture. J. Hebei North Univ. (Natural Science Edition) 35(9), 11–14 (2019)
Zhuoyi, X., Shunjie, Z., Xiaofeng, H., Ruiqing, S.: Design on software-defined spacecraft system architecture. J. Spacecraft Eng. (5), 1–8 (2021)
Gu., Jun, Junzhou, L., Jiuxin, C., Li., Wei: Service platform autonomic control approach based on performability model. J. Chin. J. Comput. 35(2), 282–297 (2012)
Sheng, Y.: Design of power materials intelligent supply chain management and control system based on configuration software. J. Field Bus Netw. 39(10):137–141 (2020)
Yang, S.: Optimization method of database memory sorting for software and hardware application integration. J. Northeast. Electr. Power Univ. 40(6), 100–104 (2020)
Yi, W., Guo, L., Shu, Z.: Interactive design of virtual driving console for urban rail train. Comput. Knowl. Technol. 15(8), 271–273 (2019)
Li., Zhijin: Research and application of digital twin architecture in smart power plant. Power Systems Big Data 25(1), 35–42 (2022)
Zhang, F., Wu., Tsu-Yang, Wang, Y., Xiong, R., Ding, G., Mei, P., Liu, L.: Application of quantum genetic optimization of LVQ neural network in smart city traffic network prediction. IEEE Access 8, 104555–104564 (2020)
Kang, L., Chen, R.-S., Chen, Y.-C., Wang, C.-C., Li, X., Wu., Tsu-Yang: Using cache optimization method to reduce network traffic in communication systems based on cloud computing. IEEE Access 7, 124397–124409 (2019)
Kang, L., Chen, R.-S., Xiong, N., Chen, Y.-C., Hu., Yu-Xi, Chen, C.-M.: Selecting hyper-parameters of Gaussian process regression based on non-inertial particle swarm optimization in internet of things. IEEE Access 7, 59504–59513 (2019)
Zhang, S.-M., Xin, Su., Jiang, X.-H., Chen, M.-L., Tsu-Yang, Wu.: A traffic prediction method of bicycle-sharing based on long and short term memory network [J]. J. Netw. Intell. 4(2), 17–29 (2019)
Wu., Mu-En, Syu, J.-H., Chen, C.-M.: Kelly-based options trading strategies on settlement date via supervised learning algorithms [J]. Comput. Econ. 59(4), 1627–1644 (2022)
Zhao, F., Yin, C., Huo, X., Xu, Y.: Research on quality control application of whole process intelligent manufacturing in steel industry 4.0 based on big data analysis. J. Netw. Intell. 7(3), 685–703 (2022)
Li, H.-D., Zhang, L., Lin, C.-L.: An intelligent model for assessing abilities of university teachers based on AHP and Delphi Method [J]. J. Netw. Intell. 6(3), 461–472 (2021)
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Zhang, X., Pan, Y., Yang, L., Xue, C., Zhang, F. (2023). Architecture Design of Equipment Warehouse Scheduling System Based on Software Definition. In: Ni, S., Wu, TY., Geng, J., Chu, SC., Tsihrintzis, G.A. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. Smart Innovation, Systems and Technologies, vol 347. Springer, Singapore. https://doi.org/10.1007/978-981-99-0848-6_31
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DOI: https://doi.org/10.1007/978-981-99-0848-6_31
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