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Relevant bibliographies by topics / The hierarchical model

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Journal articles

Academic literature on the topic 'The hierarchical model'

Author: Grafiati

Published: 30 June 2021

Last updated: 5 May 2022

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Journal articles on the topic "The hierarchical model"

1

Sheng-Guo Wang, Sheng-Guo Wang, Yong-Gang Liu Sheng-Guo Wang, and Tian-Wei Bai Yong-Gang Liu. "Dynamic Node Link Model of Hierarchical Edge Computing." 電腦學刊 32, no. 5 (2021): 222–32. http://dx.doi.org/10.53106/199115992021103205019.

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With the rise of the Internet of Things, edge computing has become one of the key technologies in Internet of Things solutions. In the context of the Industrial Internet of Things, hierarchical edge computing shows its advantages. This article focuses on hierarchical edge computing in the industrial Internet of Things scene, and studies the dynamic resource allocation of hierarchical edge computing networks. When using a hierarchical edge computing network with existing equipment, it is difficult to make changes to existing equipment. Therefore, this article uses queuing theory modeling analys

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Zhi-Bo Wang, Zhi-Bo Wang. "Node Resource Management Model of Hierarchical Edge Computing." 電腦學刊 32, no. 5 (2021): 233–44. http://dx.doi.org/10.53106/199115992021103205020.

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This article focuses on hierarchical edge computing in the industrial Internet of Things scenario, and studies the static resource deployment of hierarchical edge computing networks. When deploying a hierarchical edge computing network with new equipment, the allocation of computing capacity between layers is one of the hot is-sues. This paper proposes a method for the allocation of edge computing node capacity between layers based on the M/M/1/c queue model, delay and call loss are performance indicators, and the optimal inter-layer capacity allocation algorithm is designed and implemented. T

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3

Tashiro, Tohru. "Hierarchical Bass model." Journal of Physics: Conference Series 490 (March 11, 2014): 012181. http://dx.doi.org/10.1088/1742-6596/490/1/012181.

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SONG, CHEE-YANG, and DOO-KWON BAIK. "A LAYERED METAMODEL FOR HIERARCHICAL MODELING IN UML." International Journal of Software Engineering and Knowledge Engineering 13, no. 02 (2003): 191–214. http://dx.doi.org/10.1142/s0218194003001263.

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As software is becoming larger and more complex, it is increasingly important to use the hierarchical modeling approach. Unfortunately, however, UML does not specify each metamodel with hierarchy for model by modeling phase. Thus, most UML-based methodologies do not address the hierarchical modeling for model. As a method for supporting hierarchical modeling on UML, this paper proposes a layered metamodel which defines hierarchically modeling elements of model according to the modeling phase. We describe each metamodel with hierarchy for models in UML, then present the hierarchical integrated

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Aly, S., and I. Vrana. "Multiple parallel fuzzy expert systems utilizing a hierarchical fuzz model." Agricultural Economics (Zemědělská ekonomika) 53, No. 2 (2008): 89–93. http://dx.doi.org/10.17221/1425-agricecon.

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Business, economic, and agricultural YES-or-NO decision making problems often require multiple, different and specific expertises. This is due to the nature of such problems in which decisions may be influenced by multiple different, relevant aspects, and accordingly multiple corresponding expertises are required. Fuzzy expert systems (FESs) are widely used to model expertises due to its capability to model real world values, which are not always exact, but frequently vague or uncertain. In this research, different expertises, relevant to the decision solution, are modeled using several corres

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Ndung’u, A. W., S. Mwalili, and L. Odongo. "Hierarchical Penalized Mixed Model." Open Journal of Statistics 09, no. 06 (2019): 657–63. http://dx.doi.org/10.4236/ojs.2019.96042.

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Mozetič, Igor. "Hierarchical model-based diagnosis." International Journal of Man-Machine Studies 35, no. 3 (1991): 329–62. http://dx.doi.org/10.1016/s0020-7373(05)80132-4.

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Lin, Zhifang, and Ruibao Tao. "Hierarchical quantum Ising model." Physical Review B 41, no. 16 (1990): 11597–99. http://dx.doi.org/10.1103/physrevb.41.11597.

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Paluch, R., K. Suchecki, and J. A. Hołyst. "Hierarchical Cont-Bouchaud Model." Acta Physica Polonica A 127, no. 3a (2015): A—108—A—112. http://dx.doi.org/10.12693/aphyspola.127.a-108.

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10

Lohrey, Markus. "Model-checking hierarchical structures." Journal of Computer and System Sciences 78, no. 2 (2012): 461–90. http://dx.doi.org/10.1016/j.jcss.2011.05.006.

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