Academic literature on the topic 'Method of network resource distribution'
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Journal articles on the topic "Method of network resource distribution"
Abdulrahman, H., and V. A. Skorokhodov. "Biresource Networks with Magnetic Reachability." UNIVERSITY NEWS. NORTH-CAUCASIAN REGION. NATURAL SCIENCES SERIES, no. 3 (207) (October 2, 2020): 4–10. http://dx.doi.org/10.18522/1026-2237-2020-3-4-10.
Full textYang, Haizhu, Xiangyang Liu, Yiming Guo, and Peng Zhang. "Fault Location of Active Distribution Networks Based on the Golden Section Method." Mathematical Problems in Engineering 2020 (February 8, 2020): 1–9. http://dx.doi.org/10.1155/2020/6937319.
Full textQi, Lu. "An Optimization Method of Sports Service Network Layout Based on Network Communication." Mathematical Problems in Engineering 2022 (April 14, 2022): 1–9. http://dx.doi.org/10.1155/2022/4980386.
Full textTan, Jing Jing, Ning Pan, and Ke Wang. "Study of Resource Allocation Method of Communication Network in Dense Crowded Area." Applied Mechanics and Materials 713-715 (January 2015): 1115–18. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1115.
Full textLu, Shuijin, and Yujie Mo. "Distributed dispatching method of active distribution network considering multiple regulation resources." Journal of Physics: Conference Series 2237, no. 1 (March 1, 2022): 012004. http://dx.doi.org/10.1088/1742-6596/2237/1/012004.
Full textMundher, Zaid. "A Method for Investigating Coverage Area Issue in Dynamic Networks." Technium: Romanian Journal of Applied Sciences and Technology 4, no. 3 (April 16, 2022): 19–27. http://dx.doi.org/10.47577/technium.v4i3.6342.
Full textYang, Zhidong, Guangjiu Chen, Jianwu Ding, Xiaojing Kang, and Meng Sheng. "Multi-Stage Distribution Network Space Load Forecasting Method Considering Demand Side Resources." Journal of Nanoelectronics and Optoelectronics 15, no. 12 (December 1, 2020): 1474–81. http://dx.doi.org/10.1166/jno.2020.2881.
Full textHung Tran, Cong, Dien Tam Le, and Thanh Hieu Huynh. "Game Theory Application Resources Management and Distribution in Blockchain Network." International Journal of Network Security & Its Applications 13, no. 1 (January 31, 2021): 65–78. http://dx.doi.org/10.5121/ijnsa.2021.13105.
Full textHan, Bing, and Yonggang Li. "Optimization method for reducing network loss of dc distribution system with distributed resource." Photonic Network Communications 37, no. 2 (November 15, 2018): 233–42. http://dx.doi.org/10.1007/s11107-018-0805-5.
Full textLi, Da, Ningli Qin, Bo Li, Xiaosong Jing, Changyu Du, and Chunyi Wan. "Resource allocation method based on massive MIMO NOMA MEC on distribution communication network." IOP Conference Series: Earth and Environmental Science 634 (February 5, 2021): 012069. http://dx.doi.org/10.1088/1755-1315/634/1/012069.
Full textDissertations / Theses on the topic "Method of network resource distribution"
Mangili, Michele. "Efficient in-network content distribution : wireless resource sharing, network planning, and security." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLS182/document.
Full textIn recent years, the amount of traffic requests that Internet users generate on a daily basis has increased exponentially, mostly due to the worldwide success of video streaming services, such as Netflix and YouTube. While Content-Delivery Networks (CDNs) are the de-facto standard used nowadays to serve the ever increasing users’ demands, the scientific community has formulated proposals known under the name of Content-Centric Networks (CCN) to change the network protocol stack in order to turn the network into a content distribution infrastructure. In this context this Ph.D. thesis studies efficient techniques to foster content distribution taking into account three complementary problems:1) We consider the scenario of a wireless heterogeneous network, and we formulate a novel mechanism to motivate wireless access point owners to lease their unexploited bandwidth and cache storage, in exchange for an economic incentive.2) We study the centralized network planning problem and (I) we analyze the migration to CCN; (II) we compare the performance bounds for a CDN with those of a CCN, and (III) we take into account a virtualized CDN and study the stochastic planning problem for one such architecture.3) We investigate the security properties on access control and trackability and formulate ConfTrack-CCN: a CCN extension to enforce confidentiality, trackability and access policy evolution in the presence of distributed caches
Нааем, Хазім Рахім Нааем. "Моделі та методи розподілу мережевого ресурсу комп'ютерних мереж геоінформаційной системи екологічного моніторингу." Thesis, НТУ "ХПІ", 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/34184.
Full textThesis for scientific degree candidate of technical sciences in the specialty 05.13.05 – computer systems and components. – National Technical University "Kharkіv Polytechnic Institute", Kharkіv 2018. The dissertation is devoted to the solution of the scientific and practical task of improving the method of network resource distribution of computer system of the geographic information system for ecological monitoring, which allows increasing the efficiency of functioning of these systems by using already developed models and methods of computing resource distribution of the network. The structure of GIS for environmental monitoring is developed, its main sub-systems and interaction principles are defined. The structure of hybrid computer network for digital data transmissions proposed, which allows optimizing the process of data transmission for environmental monitoring. The method of making decisions on the foundation of stationary posts of GIS for environmental monitoring is provided, which, in contrast to the existing ones, takes into account the parameter that determines the alteration rate of the then-current pollution level, the magnitude of the concentration of hazardous chemicals (HAZCHEM), and the wind rose specific for the area in question. Also, this method takes into consideration that the difference of HAZCHEM concentration in space varies from point to point. The whole from the abovementioned allows localizing zones of potential pollution and severely reducing the number of specialized observation posts (by 10-15%). The data transmission traffic model is developed for the hybrid computer network (CN) of the environmental monitoring GIS. This model takes into account the merging of information flows, which have different statistical models. The use of the offered model allows shortening the computer network data transmission rate by 13%. The network resources distribution method for the hybrid computer network of the environmental monitoring GIS is developed through the use of MIMO technology, which allows reducing the time required for monitoring data delivery by 12-15%. The model of hardware and software has been developed, the usage of which considers the features of wireless data transmission from several information sources in the hybrid computer network of GIS, thereby allowing to reduce the package loss ratio and to increase the speed of data transmission for the hybrid CN of GIS. The offered efficiency enhancement models and methods in computer networks of GIS have been examined in simulation modeling and experimental studies, which have thereby confirmed the veracity and significance of the derived results. The developed software and hardware model for ecological monitoring GIS allows reducing dates of receipt, processing and analysis of the ecological data, improving veracity and quality of the received results, and ensuring information safety.
Нааем, Хазім Рахім Нааем. "Моделі та методи розподілу мережевого ресурсу комп'ютерних мереж геоінформаційной системи екологічного моніторингу." Thesis, НТУ "ХПІ", 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/34163.
Full textThesis for scientific degree candidate of technical sciences in the specialty 05.13.05 – computer systems and components. – National Technical University "Kharkіv Polytechnic Institute", Kharkіv 2018. The dissertation is devoted to the solution of the scientific and practical task of improving the method of network resource distribution of computer system of the geographic information system for ecological monitoring, which allows increasing the efficiency of functioning of these systems by using already developed models and methods of computing resource distribution of the network. The structure of GIS for environmental monitoring is developed, its main sub-systems and interaction principles are defined. The structure of hybrid computer network for digital data transmissions proposed, which allows optimizing the process of data transmission for environmental monitoring. The method of making decisions on the foundation of stationary posts of GIS for environmental monitoring is provided, which, in contrast to the existing ones, takes into account the parameter that determines the alteration rate of the then-current pollution level, the magnitude of the concentration of hazardous chemicals (HAZCHEM), and the wind rose specific for the area in question. Also, this method takes into consideration that the difference of HAZCHEM concentration in space varies from point to point. The whole from the abovementioned allows localizing zones of potential pollution and severely reducing the number of specialized observation posts (by 10-15%). The data transmission traffic model is developed for the hybrid computer network (CN) of the environmental monitoring GIS. This model takes into account the merging of information flows, which have different statistical models. The use of the offered model allows shortening the computer network data transmission rate by 13%. The network resources distribution method for the hybrid computer network of the environmental monitoring GIS is developed through the use of MIMO technology, which allows reducing the time required for monitoring data delivery by 12-15%. The model of hardware and software has been developed, the usage of which considers the features of wireless data transmission from several information sources in the hybrid computer network of GIS, thereby allowing to reduce the package loss ratio and to increase the speed of data transmission for the hybrid CN of GIS. The offered efficiency enhancement models and methods in computer networks of GIS have been examined in simulation modeling and experimental studies, which have thereby confirmed the veracity and significance of the derived results. The developed software and hardware model for ecological monitoring GIS allows reducing dates of receipt, processing and analysis of the ecological data, improving veracity and quality of the received results, and ensuring information safety.
Liu, Qingyun. "Statistical Process Control for the Fairness of Network Resource Distribution." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/518.
Full textGarkusha, Sergey, Haider Al-Janabi, and Aymen Al-Dulaimi. "Model of Distribution of Frequency Resource in the WiMAX Mesh-Network." Thesis, TCSET'2014, 2014. http://dspace.puet.edu.ua/handle/123456789/1956.
Full textEkstrand, Aaron Jordan. "A Fast and Efficient Method for Power Distribution Network Reconfiguration." OpenSIUC, 2017. https://opensiuc.lib.siu.edu/theses/2094.
Full textGalymov, Birzhan. "Distribution Network Reconfiguration For Loss Reduction By Multi-branch Exchange Method." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614663/index.pdf.
Full textAkperi, Brian Temisan. "An informed long-term forecasting method for electrical distribution network operators." Thesis, Durham University, 2017. http://etheses.dur.ac.uk/12342/.
Full textAkkas, Izzet Saygin. "Reliability Based Water Distribution Network Design." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607830/index.pdf.
Full texts adaptation based on the methodology proposed by Bao and Mays (1990) by the aid of a hydraulic network solver program HapMam prepared by Nohutç
u (2002). For purposes of illustration, the skeletonized form of Ankara Water Distribution Network subpressure zone (N8-1) is taken as the case study area. The methodology in this study, covering the relation between the reliability and the cost of a water distribution network and the proposed reliability level can be used in the design of new systems.
Keles, Gultekin. "Water Distribution Network Design By Partial Enumeration." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606816/index.pdf.
Full textpartial enumeration method can assist designers to select the optimum system combination.
Books on the topic "Method of network resource distribution"
Graham, G. The chi-square method to test the normality of the distribution of time and magnitude residuals of the South African National Seismological Network. Pretoria: Geological Survey, Dept. of Mineral and Energy Affairs, Republic of South Africa, 1987.
Find full textZnO bao mo zhi bei ji qi guang, dian xing neng yan jiu. Shanghai Shi: Shanghai da xue chu ban she, 2010.
Find full textGolan, Amos. Inference in the Real World. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199349524.003.0005.
Full textBook chapters on the topic "Method of network resource distribution"
Chowdhury, Dhiman Deb. "Method of Time Distribution." In NextGen Network Synchronization, 85–102. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71179-5_6.
Full textAl-Mamari, Mahmood M., Sameh A. Kantoush, and Tetsuya Sumi. "Innovative Monitoring Techniques for Wadi Flash Flood by Using Image-Based Analysis." In Natural Disaster Science and Mitigation Engineering: DPRI reports, 251–66. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2904-4_9.
Full textMoradijoz, Mahnaz. "Resource-Driven Flexibility Planning of Active Distribution Network." In Flexibility in Electric Power Distribution Networks, 121–46. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003122326-6.
Full textMehmood, Mubashar, Nadeem Javaid, Junaid Akram, Sadam Hussain Abbasi, Abdul Rahman, and Fahad Saeed. "Efficient Resource Distribution in Cloud and Fog Computing." In Advances in Network-Based Information Systems, 209–21. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98530-5_18.
Full textSadam, Abdullah, Nadeem Javaid, Muhammad Usman Sharif, Abdul Wasi Zia, Muhammad Yousaf, and Syed Muhammad Saleh Arfi. "Effective Resource Allocation in Fog for Efficient Energy Distribution." In Advances in Network-Based Information Systems, 248–59. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98530-5_21.
Full textIsmail, Muhammad, Nadeem Javaid, Muhammad Zakria, Muhammad Zubair, Faizan Saeed, and Muhammad Asad Zaheer. "Cloud-Fog Based Smart Grid Paradigm for Effective Resource Distribution." In Advances in Network-Based Information Systems, 234–47. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98530-5_20.
Full textLi, Jing, Lihua Yin, Yunchuan Guo, Chao Li, Fenghua Li, and Lihua Chen. "A Novel Threat-Driven Data Collection Method for Resource-Constrained Networks." In Network and System Security, 486–96. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64701-2_36.
Full textLi, Min, and Zhenhua Li. "Grid Resource Scheduling Method Based on BP Neural Network." In Communications in Computer and Information Science, 522–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34289-9_58.
Full textMuthanna, Mohammed Saleh Ali, Ping Wang, Min Wei, Waleed Al-mughalles, and Ahsan Rafiq. "Dynamic Programming Method for Traffic Distribution in LoRaWAN Network." In Lecture Notes in Computer Science, 317–25. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65726-0_28.
Full textCao, Jianwei, Ming Tang, Zhihua Huang, Ying Liu, Ying Wang, Tao Huang, and Yanfang Zhou. "Non Time Domain Fault Detection Method for Distribution Network." In Advances in Intelligent Systems and Computing, 279–84. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4572-0_41.
Full textConference papers on the topic "Method of network resource distribution"
Peng-ju Yang, Yi Zhang, and Jie Qin. "Method and empirical study of distribution network planning consider demand-side resource." In 2012 China International Conference on Electricity Distribution (CICED). IEEE, 2012. http://dx.doi.org/10.1109/ciced.2012.6508485.
Full textWei, Wandong, Xingyu Chen, Qiuyao He, and Jianxin Deng. "Value Analysis Method of Distribution Center for Resource- based Collaborative Distribution Based on Social Network." In 2021 International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR). IEEE, 2021. http://dx.doi.org/10.1109/icbar55169.2021.00029.
Full textLan, Li, Mingze Zhang, Jianlin Yang, Kuangyu Qin, Mengyao Zhang, Yuan Ji, Fei Fei, and Haiqun Wang. "Distribution Network Planning Method Using Demand Response Resources." In 2018 China International Conference on Electricity Distribution (CICED). IEEE, 2018. http://dx.doi.org/10.1109/ciced.2018.8592517.
Full textKlymash, Mykhailo, Marian Seliuchenko, Mykola Beshley, and Sergiy Redchuk. "Increasing wavelengths utilization efficiency in OTNoDWDM network based on local resource distribution method." In 2015 Second International Scientific-Practical Conference Problems of Infocommunications Science and Technology (PIC S&T). IEEE, 2015. http://dx.doi.org/10.1109/infocommst.2015.7357300.
Full textYang, Kun, Zhen Xiang, Shan Huang, Zhongqi Cai, and Chao Liu. "Container-Based Microservice Modeling and Computing Resource Scheduling Method for Distribution Network Protection." In 2021 International Conference on Power System Technology (POWERCON). IEEE, 2021. http://dx.doi.org/10.1109/powercon53785.2021.9697453.
Full textB. Luis, Cordero, and Franco B. John. "Probabilistic Power Flow Analysis Based on Point-Estimate Method for High Penetration of Photovoltaic Generation in Electrical Distribution Systems." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1078.
Full textTolson, Bryan A., Holger R. Maier, and Angus R. Simpson. "Water Distribution Network Reliability Estimation Using the First-Order Reliability Method." In World Water and Environmental Resources Congress 2001. Reston, VA: American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40569(2001)413.
Full textZhao, Wenlong, Bingyin Xu, and Liang Zhang. "Evaluation method for impact on protection of distribution network with distributed electric resources." In 2014 China International Conference on Electricity Distribution (CICED). IEEE, 2014. http://dx.doi.org/10.1109/ciced.2014.6991824.
Full textWang, Linbo, Fengsheng Yang, Zhirui Wang, Yuanfeng Wang, Xi Zeng, and Mian Wang. "State-evaluation & Risk-assessment based Maintenance Resource Allocation Method for Distribution Networks." In 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). IEEE, 2019. http://dx.doi.org/10.1109/isgt-asia.2019.8881523.
Full textBeshley, Halyna, Maryan Kyryk, Mykola Beshley, and Oleksiy Panchenko. "Method of Information Flows Engineering and Resource Distribution in 4G/5G Heterogeneous Network for M2M Service Provisioning." In 2018 IEEE 4th International Symposium on Wireless Systems within the International Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS). IEEE, 2018. http://dx.doi.org/10.1109/idaacs-sws.2018.8525680.
Full textReports on the topic "Method of network resource distribution"
Neroda, Tetyana V., Lidia V. Slipchyshyn, and Ivan O. Muzyka. Adaptive toolkit of branch-oriented workshop environment for enlargement the cloud-based e-learning media platform. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4449.
Full textKull, Kathleen, Craig Young, Jennifer Haack-Gaynor, Lloyd Morrison, and Michael DeBacker. Problematic plant monitoring protocol for the Heartland Inventory and Monitoring Network: Narrative, version 2.0. National Park Service, May 2022. http://dx.doi.org/10.36967/nrr-2293355.
Full textMaeno, Yoshiharu. Epidemiological geographic profiling for a meta-population network. Web of Open Science, December 2020. http://dx.doi.org/10.37686/ser.v1i2.78.
Full textFuentes, Rolando. Distribution Networks Tariff Design in the Era of Decentralization: A Business Model Approach. King Abdullah Petroleum Studies and Research Center, November 2020. http://dx.doi.org/10.30573/ks--2020-dp24.
Full textHenderson, Tim, Vincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Klamath Inventory & Monitoring Network. National Park Service, July 2021. http://dx.doi.org/10.36967/nrr-2286915.
Full textHenderson, Tim, Mincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Chihuahuan Desert Inventory & Monitoring Network. National Park Service, April 2021. http://dx.doi.org/10.36967/nrr-2285306.
Full textHenderson, Tim, Vincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Mojave Desert Inventory & Monitoring Network. National Park Service, December 2021. http://dx.doi.org/10.36967/nrr-2289952.
Full textHenderson, Tim, Vincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Central Alaska Inventory & Monitoring Network. National Park Service, May 2022. http://dx.doi.org/10.36967/nrr-2293381.
Full textHenderson, Tim, Vincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Northern Colorado Plateau Inventory & Monitoring Network. National Park Service, April 2021. http://dx.doi.org/10.36967/nrr-2285337.
Full textHenderson, Tim, Vincet Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: North Coast and Cascades Inventory & Monitoring Network. National Park Service, March 2022. http://dx.doi.org/10.36967/nrr-2293013.
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