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Relevant bibliographies by topics / Network management

Academic literature on the topic 'Network management'

Author: Grafiati

Published: 4 June 2021

Last updated: 22 June 2024

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Dissertations / Theses
Books
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Conference papers
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Journal articles on the topic "Network management"

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Bhosure, Sangeeta, and Rishi Asthana. "Functional Requirements of Network Management System based on Simple Network Management Protocol." International Journal of Science and Research (IJSR) 12, no. 9 (September 5, 2023): 1332–38. http://dx.doi.org/10.21275/sr23916225254.

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Heijer, C. (Kees) Den, Dirk T. J. A. Knipping, Nathaniel G. Plant, Jaap S. M. Van Thiel de Vries, Fedor Baart, and Pieter H. A. J. M. Van Gelder. "IMPACT ASSESSMENT OF EXTREME STORM EVENTS USING A BAYESIAN NETWORK." Coastal Engineering Proceedings 1, no. 33 (October 25, 2012): 4. http://dx.doi.org/10.9753/icce.v33.management.4.

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This paper describes an investigation on the usefulness of Bayesian Networks in the safety assessment of dune coasts. A network has been created that predicts the erosion volume based on hydraulic boundary conditions and a number of cross-shore profile indicators. Field measurement data along a large part of the Dutch coast has been used to train the network. Corresponding storm impact on the dunes was calculated with an empirical dune erosion model named duros+. Comparison between the Bayesian Network predictions and the original duros+ results, here considered as observations, results in a skill up to 0.88, provided that the training data covers the range of predictions. Hence, the predictions from a deterministic model (duros+) can be captured in a probabilistic model (Bayesian Network) such that both the process knowledge and uncertainties can be included in impact and vulnerability assessments.

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Haworth, James W., and John A. Liffrig. "Remote network management for optical networks." Bell Labs Technical Journal 11, no. 2 (August 4, 2006): 191–201. http://dx.doi.org/10.1002/bltj.20169.

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Chemouil, Prosper. "Network management." Annales Des Télécommunications 49, no. 1-2 (January 1994): 5. http://dx.doi.org/10.1007/bf02999636.

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LANDSPERGER, JOHANNES, PATRICK SPIETH, and SVEN HEIDENREICH. "HOW NETWORK MANAGERS CONTRIBUTE TO INNOVATION NETWORK PERFORMANCE." International Journal of Innovation Management 16, no. 06 (November 30, 2012): 1240009. http://dx.doi.org/10.1142/s1363919612400099.

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Innovation networks that aim at the joint development of products, services or processes represent a particular form of inter-organizational business networks. In order to yield useful results from these collaborations, networks need to be managed thoroughly. By appointing a dedicated network manager to administrate, coordinate, and regulate, the management of tasks is bundled and centralized within a single entity. However, to the best knowledge of the authors, no empirical research has yet been conducted, investigating the impact of a network manager's availability, relevance, and influence on network performance. Using the interaction-oriented network approach as conceptual foundation, we analyze network managers' direct and indirect influence on the network's relational and goal achievement performance. Our results suggest that a network manager enhances innovation network's core management functions, which in turn improve the relational performance (RP). Moreover, RP was found to significantly drive the goal achievement performance (GAP).

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García-Cobo, Iván. "Quantum Network Intelligent Management System." Optics 3, no. 4 (November 15, 2022): 430–37. http://dx.doi.org/10.3390/opt3040036.

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Quantum network materializes the paradigm change caused by the depletion of classical computation. Quantum networks have been built gathering reliable quantum repeaters connected by optical fiber networks. The need to build robust and resilient networks against hacking attacks is fundamental in the design of the future quantum Internet, detecting structural security as the major issue in the current development of the technology. A network management method is proposed to achieve its real-time adaptation and to protect itself against sabotage or accidents that render part of the network or its nodes useless.

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Wang, Liang Run, Chuan Sheng Wu, Shi Cheng Zhao, and Fang Hui Liu. "Research on Network Management Network." Advanced Materials Research 989-994 (July 2014): 4338–41. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4338.

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Where in a metropolitan area server controls the network management process and the service process of a node switch and a node server under it, while the node server controls the network management process and the service process of an access switch and a terminal under it. Where in the metropolitan area server or the node server allocates an address to each network device by sending a query packet to each communication port, and establishes a clear network topology on the main control server side during the allocation process, in a main control mode. Thus, during the transmission process of a specific data packet, the main control server (metropolitan area server or node server) directly allocates a corresponding communication link (because it clearly knows the device topology of the whole network), without the need of carrying out route negotiation between each network device, thus a stable transmission rate may be guaranteed, and delay may be avoided.

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Koshidgewar Bhasker G. "The Network Management Appliance." international journal of engineering technology and management sciences 7, no. 1 (2023): 356–60. http://dx.doi.org/10.46647/ijetms.2023.v07i01.054.

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Network and computer systems have become a critical asset to all organizations. These complex networks must connect several different hardware, software and data platforms seamlessly. This complexity makes it difficult to reliably manage and secure the network and its attached systems while maintaining availability to authorized users. Traditional approaches including the use of VLANs, ACLs, firewalls, and proxies are complicated and make it hard to maintain consistent control across the enterprise. Several tools have been developed to help administrators audit and configure these devices. Despite these efforts, networks still remain unsecure and difficult to manage. This paper looks at a radical new centralized approach to network management called Ethane. Ethane provides direct control over the policy for the entire network by exploiting the capabilities of dumb switches connected to a central controller. An easily readable policy language allows network rules to be explicitly defined. Once we describe how the transport layer is secured, we'll look at how Ethane can be combined with virtualization techniques to provide a thorough defense through all system layers. The system not only blocks malicious traffic, it allows users and administrators to view the system as an organizational appliance.

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Choi, Mi-Jung, James W. Hong, and Hong-Taek Ju. "XML-Based Network Management for IP Networks." ETRI Journal 25, no. 6 (December 3, 2003): 445–63. http://dx.doi.org/10.4218/etrij.03.0103.0062.

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KUKLINSKI, Slawomir, and Prosper CHEMOUIL. "Network Management Challenges in Software-Defined Networks." IEICE Transactions on Communications E97.B, no. 1 (2014): 2–9. http://dx.doi.org/10.1587/transcom.e97.b.2.

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Dissertations / Theses on the topic "Network management"

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Rivas, Antonio Canales. "Network management using active networks." Thesis, De Montfort University, 2006. http://hdl.handle.net/2086/4781.

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Wells, Daniel David. "Network management for community networks." Thesis, Rhodes University, 2010. http://hdl.handle.net/10962/d1006587.

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Community networks (in South Africa and Africa) are often serviced by limited bandwidth network backhauls. Relative to the basic needs of the community, this is an expensive ongoing concern. In many cases the Internet connection is shared among multiple sites. Community networks may also have a lack of technical personnel to maintain a network of this nature. Hence, there is a demand for a system which will monitor and manage bandwidth use, as well as network use. The proposed solution for community networks and the focus within this dissertation, is a system of two parts. A Community Access Point (CAP) is located at each site within the community network. This provides the hosts and servers at that site with access to services on the community network and the Internet, it is the site's router. The CAP provides a web based interface (CAPgui) which allows configuration of the device and viewing of simple monitoring statistics. The Access Concentrator (AC) is the default router for the CAPs and the gateway to the Internet. It provides authenticated and encrypted communication between the network sites. The AC performs several monitoring functions, both for the individual sites and for the upstream Internet connection. The AC provides a means for centrally managing and effectively allocating Internet bandwidth by using the web based interface (ACgui). Bandwidth use can be allocated per user, per host and per site. The system is maintainable, extendable and customisable for different network architectures. The system was deployed successfully to two community networks. The Centre of Excellence (CoE) testbed network is a peri-urban network deployment whereas the Siyakhula Living Lab (SLL) network is a rural deployment. The results gathered conclude that the project was successful as the deployed system is more robust and more manageable than the previous systems.

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Sundaresan, Latha. "Simple network management protocol /." Online version of thesis, 1995. http://hdl.handle.net/1850/12254.

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Post, David L. "Network Management: Assessing Internet Network-Element Fault Status Using Neural Networks." Ohio : Ohio University, 2008. http://www.ohiolink.edu/etd/view.cgi?ohiou1220632155.

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Yuan, Fenghua. "Lightweight network management design for wireless sensor networks." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Fall2007/F_Yuan_081307.pdf.

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Lim, Kok Seng. "Analysis of network management protocols in optical networks." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Mar%5FLim%5FK.pdf.

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Conner, Steven. "Automated distribution network planning with active network management." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28818.

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Renewable energy generation is becoming a major part of energy supply, often in the form of distributed generation (DG) connected to distribution networks. While growth has been rapid, there is awareness that limitations on spare capacity within distribution (and transmission) networks is holding back development. Developments are being shelved until new network reinforcements can be built, which may make some projects non-viable. Reinforcements are costly and often underutilised, typically only loaded to their limits for a few occasions during the year. In order to accommodate new DG without the high costs or delays, active network management (ANM) is being promoted in which generation and other network assets are controlled within the limits of the existing network. There is a great deal of complexity and uncertainty associated with developing ANM and devising coherent plans to accommodate new DG is challenging for Distribution Network Operators (DNOs). As such, there is a need for robust network planning tools that can explicitly handle ANM and which can be trusted and implemented easily. This thesis describes the need for and the development of a new distribution expansion planning framework that provides DNOs with a better understanding of the impacts created by renewable DG and the value of ANM. This revolves around a heuristic planning framework which schedules necessary upgrades in power lines and transformers associated with changes in demand as well as those driven by the connection of DG. Within this framework a form of decentralised, adaptive control of DG output has been introduced to allow estimation of the impact of managing voltage and power flow constraints on the timing and need for network upgrades. The framework is initially deployed using simple scenarios but a further advance is the explicit use of time series to provide substantially improved estimates of the levels of curtailment implied by ANM. In addition, a simplified approach to incorporating demand side management has been deployed to facilitate understanding of the scope and role this may play in facilitating DG connections.

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Wetzel, Paul A. "Network policy management." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA376856.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, September 1999.
"September 1999". Thesis advisor(s): Geoffrey Xie, Gilbert Lundy. Includes bibliographical references (p. 215-224). Also available online.

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Reupold, Andrea. "Learning Network Management." Diss., lmu, 2009. http://nbn-resolving.de/urn:nbn:de:bvb:19-105508.

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Liu, Guanglei. "Management and Control of Scalable and Resilient Next-Generation Optical Networks." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14610.

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Two research topics in next-generation optical networks with wavelength-division multiplexing (WDM) technologies were investigated: (1) scalability of network management and control, and (2) resilience/reliability of networks upon faults and attacks. In scalable network management, the scalability of management information for inter-domain light-path assessment was studied. The light-path assessment was formulated as a decision problem based on decision theory and probabilistic graphical models. It was found that partial information available can provide the desired performance, i.e., a small percentage of erroneous decisions can be traded off to achieve a large saving in the amount of management information. In network resilience under malicious attacks, the resilience of all-optical networks under in-band crosstalk attacks was investigated with probabilistic graphical models. Graphical models provide an explicit view of the spatial dependencies in attack propagation, as well as computationally efficient approaches, e.g., sum-product algorithm, for studying network resilience. With the proposed cross-layer model of attack propagation, key factors that affect the resilience of the network from the physical layer and the network layer were identified. In addition, analytical results on network resilience were obtained for typical topologies including ring, star, and mesh-torus networks. In network performance upon failures, traffic-based network reliability was systematically studied. First a uniform deterministic traffic at the network layer was adopted to analyze the impacts of network topology, failure dependency, and failure protection on network reliability. Then a random network layer traffic model with Poisson arrivals was applied to further investigate the effect of network layer traffic distributions on network reliability. Finally, asymptotic results of network reliability metrics with respect to arrival rate were obtained for typical network topologies under heavy load regime. The main contributions of the thesis include: (1) fundamental understandings of scalable management and resilience of next-generation optical networks with WDM technologies; and (2) the innovative application of probabilistic graphical models, an emerging approach in machine learning, to the research of communication networks.

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Books on the topic "Network management"

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Fitchett, Trevor. Network management. London: DISC, BSi Standards, 1992.

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David, Rubin. Network management. Burlington, Mass: Decision Resources, 1991.

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R, Smith, ed. Network management. Ipswich: British Telecommunications, 1991.

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1926-, Wolter Ralf, ed. Network management. Indianapolis, Ind: Cisco Press, 2007.

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Tan, Chin Tong. Network management. London: University of East London, 1995.

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William, Stallings, ed. Network management. Los Alamitos, Calif: IEEE Computer Society Press, 1993.

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W, Thomas Blair, ed. The Network Press QuickPath to NetWare 4.11 networks. 2nd ed. San Francisco: Network Press, 1997.

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1943-, Hardy Stephen, ed. Network management in wired and wireless networks. Boston: Kluwer Academic Publishers, 2002.

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Randhawa, Tejinder S., and Stephen Hardy. Network Management in Wired and Wireless Networks. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3590-1.

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Randhawa, Tejinder S. Network Management in Wired and Wireless Networks. Boston, MA: Springer US, 2002.

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Book chapters on the topic "Network management"

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Perez, André. "Network Management." In Network Security, 133–54. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781119043942.ch6.

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Cowley, John. "Network Management." In Communications and Networking, 169–85. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4357-4_9.

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Donnelly, William. "Network management." In Lecture Notes in Computer Science, 423–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0056986.

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Ghernaouti-Hélie, Solange, and Arnaud Dufour. "Network Management." In Enterprise Networks and Telephony, 169–93. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1564-9_11.

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Weik, Martin H. "management network." In Computer Science and Communications Dictionary, 971. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11002.

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Weik, Martin H. "network management." In Computer Science and Communications Dictionary, 1088. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_12250.

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McGill, Ross, and Naren Patel. "Network Management." In Global Custody and Clearing Services, 202–16. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230592445_12.

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Kangas, Raimo, and Esa Markus Metsälä. "Network Management." In LTE Backhaul, 259–78. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118924655.ch7.

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Tawalbeh, Lo’ai. "Network Management." In The NICE Cyber Security Framework, 99–115. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41987-5_5.

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Buchholz, Ulrike, and Susanne Knorre. "Network Management." In Internal communication and management, 85–101. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-38614-6_6.

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Conference papers on the topic "Network management"

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Magheti, Mihnea A., Andrei N. Ciobanu, and Eduard C. Popovici. "Network Management Extensions, performing network management activities." In 2010 9th International Symposium on Electronics and Telecommunications (ISETC 2010). IEEE, 2010. http://dx.doi.org/10.1109/isetc.2010.5679245.

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O'Donnell, Shane. "Network management." In the 28th annual ACM SIGUCCS conference. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/354908.354956.

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Ludlow, G. "Network management." In IEE Colloquium on How to Compete and Connect: Understanding the Engineering of Telecommunications Network Interconnection. IEE, 1997. http://dx.doi.org/10.1049/ic:19970970.

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ILIE, Constantin, and Margareta ILIE. "MACRO-MANAGEMENT INDICES MODELED WITH ARTIFICIAL NEURAL NETWORK. INFLUENCES ON PURCHASING POWER PARITIES." In International Management Conference. Editura ASE, 2022. http://dx.doi.org/10.24818/imc/2021/03.10.

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The present paper shows research results regarding Artificial Neural Network simulation on macroeconomics indices and their influences over purchasing power parities. The objective was the successful build, train, and testing of different types of Artificial Neural Network to determine the best structure for applications. In modeling and simulation, authors used, not only the classical indices but also, the new ones such as online companies and houses with internet connections. The method used Artificial Neural Networks in the form of feedforward and different functions and algorithms for simulating the influence between several indices over the purchasing power parities. The results showed that’s the best Artificial Neural Network hidden neurons function is tanh and the best solver four weights optimization was Adam algorithm. Applying them, the research results in absolute error smaller than 0.002 and a mean squared error smaller than 2*10-6 . These results proved that the chosen Artificial Neural Networks can be applied to the problem modeled and can be used further for a greater amount of data. The small error demonstrates the efficiency of training and the possibility of using the proposed type and features of an Artificial Neural Network.

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Marquis, Douglas, Steven G. Finn, and Salil A. Parikh. "Network management for all-optical networks." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 1995. http://dx.doi.org/10.1364/ofc.1995.wo4.

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Baras, John S., Mike Ball, Ramesh K. Karne, Steve Kelley, Kap D. Jang, Catherine Plaisant, Nick Roussopoulos, et al. "Integrated network management of hybrid networks." In Space technology and applications international forum: 1st conference on commercial development of space; 1st conference on next generation launch systems; 2nd spacecraft thermal control symposium; 13th symposium on space nuclear power and propulsion. AIP, 1996. http://dx.doi.org/10.1063/1.50028.

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Selvaraju, Shunmuga Priyan, Ali Balador, Hossein Fotouhi, Maryam Vahabi, and Mats Bjorkman. "Network Management in Heterogeneous IoT Networks." In 2021 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2021. http://dx.doi.org/10.1109/iwcmc51323.2021.9498801.

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Chamania, Mohit, and Xiaomin Chen. "Analytics-driven Network Management." In Photonic Networks and Devices. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/networks.2019.neth1d.1.

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Yamada, Hiroshi, Takeshi Yada, and Hiroto Nomura. "Developing network configuration management database system and its application — Data federation for network management." In 2010 14th International Telecommunications Network Strategy and Planning Symposium (NETWORKS). IEEE, 2010. http://dx.doi.org/10.1109/netwks.2010.5624914.

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Elenbogen, Bruce S. "Computer network management." In The proceedings of the thirtieth SIGCSE technical symposium. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/299649.299713.

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Reports on the topic "Network management"

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Mansfield, S., E. Gray, and K. Lam, eds. Network Management Framework for MPLS-based Transport Networks. RFC Editor, September 2010. http://dx.doi.org/10.17487/rfc5950.

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Lam, K., S. Mansfield, and E. Gray. Network Management Requirements for MPLS-based Transport Networks. RFC Editor, September 2010. http://dx.doi.org/10.17487/rfc5951.

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Baras, J. S., M. Ball, S. Gupta, P. Viswanathan, and P. Shah. Automated Network Fault Management. Fort Belvoir, VA: Defense Technical Information Center, January 1997. http://dx.doi.org/10.21236/ada441009.

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Case, J. D., M. Fedor, M. L. Schoffstall, and J. Davin. Simple Network Management Protocol. RFC Editor, August 1988. http://dx.doi.org/10.17487/rfc1067.

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Meyer, Paul. Distributed Network Management Security,. Fort Belvoir, VA: Defense Technical Information Center, January 1997. http://dx.doi.org/10.21236/ada325666.

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Turnbaugh, Eugene D. Coalition Network Management System. Fort Belvoir, VA: Defense Technical Information Center, December 2006. http://dx.doi.org/10.21236/ada462157.

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Schoenwaelder, J., and T. Jeffree. Simple Network Management Protocol (SNMP) over IEEE 802 Networks. RFC Editor, November 2006. http://dx.doi.org/10.17487/rfc4789.

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Waldbusser, S. Remote Network Monitoring Management Information Base for High Capacity Networks. RFC Editor, July 2002. http://dx.doi.org/10.17487/rfc3273.

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MacFaden, M., D. Partain, J. Saperia, and W. Tackabury. Configuring Networks and Devices with Simple Network Management Protocol (SNMP). RFC Editor, April 2003. http://dx.doi.org/10.17487/rfc3512.

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Case, J. D., M. Fedor, M. L. Schoffstall, and J. Davin. Simple Network Management Protocol (SNMP). RFC Editor, April 1989. http://dx.doi.org/10.17487/rfc1098.

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