Relevant bibliographies by topics / NSFNET (Computer network)

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Academic literature on the topic 'NSFNET (Computer network)'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "NSFNET (Computer network)"

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Mills, D. L., and H. Braun. "The NSFNET backbone network." ACM SIGCOMM Computer Communication Review 17, no. 5 (1987): 191–96. http://dx.doi.org/10.1145/55483.55502.

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Heimlich, Steven A. "Traffic characterization of the NSFNET national backbone." ACM SIGMETRICS Performance Evaluation Review 18, no. 1 (1990): 257–58. http://dx.doi.org/10.1145/98460.98774.

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Jin, Xiaowei, Shengze Cai, Hui Li, and George Em Karniadakis. "NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations." Journal of Computational Physics 426 (February 2021): 109951. http://dx.doi.org/10.1016/j.jcp.2020.109951.

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Yu, Yao, Jiong Yu, Zhigang Chen, Jia Wu, and Yeqing Yan. "A Universal Routing Algorithm Based on Intuitionistic Fuzzy Multi-Attribute Decision-Making in Opportunistic Social Networks." Symmetry 13, no. 4 (2021): 664. http://dx.doi.org/10.3390/sym13040664.

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With the vigorous development of big data and the 5G era, in the process of communication, the number of information that needs to be forwarded is increasing. The traditional end-to-end communication mode has long been unable to meet the communication needs of modern people. Therefore, it is particularly important to improve the success rate of information forwarding under limited network resources. One method to improve the success rate of information forwarding in opportunistic social networks is to select appropriate relay nodes so as to reduce the number of hops and save network resources. However, the existing routing algorithms only consider how to select a more suitable relay node, but do not exclude untrusted nodes before choosing a suitable relay node. To select a more suitable relay node under the premise of saving network resources, a routing algorithm based on intuitionistic fuzzy decision-making model is proposed. By analyzing the real social scene, the algorithm innovatively proposes two universal measurement indexes of node attributes and quantifies the support degree and opposition degree of node social attributes to help node forward by constructing intuitionistic fuzzy decision-making matrix. The relay nodes are determined more accurately by using the multi-attribute decision-making method. Simulation results show that, in the best case, the forwarding success rate of IFMD algorithm is 0.93, and the average end-to-end delay, network load, and energy consumption are the lowest compared with Epidemic algorithm, Spray and Wait algorithm, NSFRE algorithm, and FCNS algorithm.
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Devetak, Sasa M., Vladimir B. Susa, Boban Z. Pavlovic, Rade V. Slavkovic, and Samed M. Karovic. "Performance Analysis of One Model of Communication and Information System in Military Operation." Defence Science Journal 69, no. 3 (2019): 290–97. http://dx.doi.org/10.14429/dsj.69.12932.

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This paper presents a model of communication and information system in military operations. Here OPNET MODELER simulation package is applied because it is suitable for network modelling, topology and capacity planning. Simulation of different types of IP traffic and monitor their performance to optimise the functionality of network elements, management performance network applications, and as well as in research and development of new network technologies. Application of the method of mass service are determined by the capacity needed for voice transmission on the links in the model and using the OPNET MODELER simulation program are analysed performance modeled communication information system in data transmission. The results of the simulation are presented through target the service settings: workload links communication and information system, e-mail download response time, http page download response time and packet loss in data transfer. The aim of the research has shown that modeled communication information system with defined elements (nodes), the capacity of links (according to the specification of telecommunication devices) and defined traffic can respond to the requirements of command forces in the military operation in terms of telecommunication service. The results of the analysed service target parameters show that modeled communication and information system provides an efficient flow of information and the tra nsfer of voice and IP data for the needs of command and control in military operations.
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"NSFNET Upgrade Boosting Scientific Computer Network To 45 Mbits/s." Computers in Physics 2, no. 3 (1988): 14. http://dx.doi.org/10.1063/1.4822720.

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Ujjwal and Jaisingh Thangaraj. "Limitation of Erlang B Traffic Model in Elastic Optical Network for Blocking Probability Estimation." Journal of Optical Communications, September 1, 2018. http://dx.doi.org/10.1515/joc-2018-0055.

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Abstract In this paper, an algorithm for multipath connection provisioning in elastic optical network (EON) has been proposed. Initially, the algorithm prefers the single-path routing for service provisioning. But when single-path routing is not adequate to serve a dynamic connection, the algorithm switches to the connection request fragmentation. Its computation is based on the parameters such as capacity_constant and capacity_allowed to fragment the connection request on disjoint paths. Simulation results clearly state that the proposed algorithm performs well in service provisioning as compared to the traditional single-path routing algorithms and improves the average network throughput. Thereafter, we have investigated the limitation of Erlang B traffic model in EON for calculation of link blocking probability using routing and spectrum assignment (RSA) algorithm. It is verified by the following two ways: (i) effect on the blocking probability in case of constant load and (ii) effect of slot width on the blocking probability. Our simulation results indicate that in EON due to dynamic RSA, blocking probability is not constant in case of proportionate varying of call arrival and service rate giving constant load and blocking probability depends on the number of slots per link, but in Erlang B traffic model blocking probability is always constant in case of constant load and it considers wavelength per link instead of slots per link. This is attributed to the fact that Erlang B traffic model fails to calculate blocking probability accurately in EON. We have computed the carried traffic on 14 nodes, 21-link National Science Foundation Network (NSFNET) topology.
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Press, Larry. "The Internet in developing nations: Grand challenges (originally published in April 2004)." First Monday, October 27, 2007. http://dx.doi.org/10.5210/fm.v0i0.1779.

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This is a call for a "Grand Challenge" project for achieving truly global connectivity. For over a decade, we have hypothesized that the Internet could raise the quality of life in developing nations. We have conducted hundreds of studies of the state of the Internet and "e–readiness," done extensive training of technicians and policy makers, run pilot studies, and held local, regional and global conferences and workshops. After all of this activity, Internet connectivity is nearly non–existent in rural areas of developing nations, and far below that of developed nations in the urban areas of developing nations. This is not to say the activity of the past decade has been a waste. We have demonstrated the value of the Internet and raised awareness. The United Nations and the administrations of nearly all nations have acknowledged the potential of the Internet. The way has been paved, and it is time to act on what we have learned. After outlining the work of the last decade, we explore one possible Grand Challenge: Connecting every village in the rural developing world to the Internet using a strategy similar to that used in building the NSFNet. We speculate on wireless technologies that might play a role in working toward that goal: Terrestrial, high–altitude platform, and satellite. We conclude with a brief discussion of alternative Grand Challenges and a call for action. The time is ripe for an audacious project. What could we achieve with US$15 billion and ten years time?
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Books on the topic "NSFNET (Computer network)"

1

United States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Science. Management of NSFNET: Hearing before the Subcommittee on Science of the Committee on Science, Space, and Technology, U.S. House of Representatives, One Hundred Second Congress, second session, March 12, 1992. U.S. G.P.O., 1992.

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Book chapters on the topic "NSFNET (Computer network)"

1

Rajagopal, Dr. "Internet, Reengineering and Technology Applications in Retailing." In Business Information Systems. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-969-9.ch082.

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The rapid growth in computer technology and commercial needs have allowed significant changes in the information management systems. There emerged in early nineties many commercial network backbones to link with the NSFnet to provide market information to the business firms. The Internet today is a combination of NSFnet and commercially available backbone services disseminating information on the decentralized networks all over the world. It is estimated that there are over 30,000 computer networks connecting over 2 million computers with each other on the Web. In view of the increasing use of electronic information sources through the networks the Transmission Control Protocol/Internet Protocol (TCP/IP) has been designed and made essential for each user networks to abide with the protocol standards which enables the data transfer and retrieval at source.
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Clayton, John F. "Education, the Internet, and the World Wide Web." In Encyclopedia of Human Computer Interaction. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-562-7.ch028.

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The development of the Internet has a relatively brief and well-documented history (Cerf, 2001; Griffiths, 2001; Leiner et al., 2000; Tyson, 2002). The initial concept was first mooted in the early 1960s. American computer specialists visualized the creation of a globally interconnected set of computers through which everyone quickly could access data and programs from any node, or place, in the world. In the early 1970s, a research project initiated by the United States Department of Defense investigated techniques and technologies to interlink packet networks of various kinds. This was called the Internetting project, and the system of connected networks that emerged from the project was known as the Internet. The initial networks created were purpose-built (i.e., they were intended for and largely restricted to closed specialist communities of research scholars). However, other scholars, other government departments, and the commercial sector realized the system of protocols developed during this research (Transmission Control Protocol [TCP] and Internet Protocol [IP], collectively known as the TCP/IP Protocol Suite) had the potential to revolutionize data and program sharing in all parts of the community. A flurry of activity, beginning with the National Science Foundation (NSF) network NSFNET in 1986, over the last two decades of the 20th century created the Internet as we know it today. In essence, the Internet is a collection of computers joined together with cables and connectors following standard communication protocols.
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"NSFNET." In The User's Directory of Computer Networks. Elsevier, 1990. http://dx.doi.org/10.1016/b978-1-55558-047-6.50032-1.

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"NSFNET Site Contacts." In The User's Directory of Computer Networks. Elsevier, 1990. http://dx.doi.org/10.1016/b978-1-55558-047-6.50033-3.

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