Relevant bibliographies by topics / Telecommunication network management

Academic literature on the topic 'Telecommunication network management'

Author: Grafiati
Published: 14 March 2023
Last updated: 28 July 2024

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Journal articles on the topic "Telecommunication network management"

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Kanaev, Andrey, Elina Login, and Kseniya Pudovkina. "Decomposition of Data Management Processes in Configuration Management DataBase (CMDB)." Proceedings of Petersburg Transport University 20, no. 1 (March 20, 2023): 151–60. http://dx.doi.org/10.20295/1815-588x-2023-1-151-160.

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Purpose: Data decomposition and classification development for the management of telecommunication network configurations and for the formation of such data management process set with the use of special database which basis on, the formation of requirements for database subsystem projection given the consistency of data about a control object and the system capabilities for this object management. Systematization of configuration data, of configuration element attributes as well as their logical consistency with the processes of the control and management of a state in promising management system subsystems. Methods: Fundamentals of complex process management theory, information storage and presentation system theory, object-oriented projection methods, decomposition method for representing process logic and data analysis about control object as well as theoretic-set approach for describing data set. Results: Decomposition of the tasks has been obtained which are realized by the components of telecommunication network configuration management special database; data sets about configuration elements have been formed. The requirements for promising control system subsystem that embodies the functionality of special database for telecommunications network configuration element management have been presented. Trends for further research in the direction to develop algorithms and models of telecommunication network configuration management with the help of special database have been proposed. Practical significance: The obtained decomposition and classification of data for telecommunication network configuration management is characterized by unique approach and dedication to telecommunication network management system subsystem logical structure, required for promising projection, as well as allows to formulate requirements for modeling the processes of telecommunication network configuration element management.
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Shi, Tao, Peng Zhang, and Fang Cheng. "The Design and Application of Telecommunication Network Resources Abstract Model." Applied Mechanics and Materials 602-605 (August 2014): 3451–56. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3451.

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Model Tao Shi ,Peng Zhang and Fang Cheng School of Chongqing University of Posts and Telecommunications, Chongqing 400065, China shitao12300@163.com Keywords: telecommunications network resources, resource model, object-oriented, virtualization technology, network management system Abstract. In order to manage and utilize telecommunication network resources more effectively, aiming at the shortage of the resource management of telecom network management system, through the study the concept of the shared information data (SID) model in the new generation of telecom operation support system (NGOSS) , according to the characteristics of the telecommunications network resources, telecommunications network resource model with object-oriented approach is proposed and designed. Meanwhile, Combined with telecommunication network business resource model to illustrate the mechanism of telecom network resource by users applications in network management system. Experiments have proved that resource model can provide powerful support for complex network management.
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Kanaev, Andrey, Elina Login, and Kseniya Pudovkina. "Informational Model of Promising Database in the System of Management for Carrier Ethernet Telecommunication Network." Proceedings of Petersburg Transport University 19, no. 3 (September 25, 2022): 421–31. http://dx.doi.org/10.20295/1815-588x-2022-3-421-431.

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Purpose: To develop an informational model of a promising database in the system of management of telecommunication network which uses Carrier Ethernet technology for to ensure the efficiency of storage, access and update of data on the telecommunication network functioning that will allow to increase the operativeness of implementation of OAM (Operation, Administration and Management) control-management built-in processes at timely and reasonable decision-making on telecommunication network management in conditions of high dynamics of changes in the network state as well as in view of Carrier Ethernet technology specificities. Thus, in order to provide services of given quality, an information model of database in telecommunication network management system has been created with indication of information main sources which’re represented by subsystems and models of telecommunications network management system in accordance with the previously developed three-level conceptual model. Also, to achieve the stated goal a logical structure of the obtained database information model on the example of domain objects has been developed. Methods: Fundamentals of complex process management theory; theory of multi-agent systems of management of distributed object; theory of systems of information storage and presentation; object-oriented projection method; set-theoretic approach for the description of data set about a control object. Results: The obtained informational model of database and the developed logical three-level structure of functioning are described verbally and mathematically. The evaluation of functioning of the proposed logical structure of the database in the system of telecommunication network management using Carrier Ethernet technology and OAM mechanisms is given. The directions of further research towards development of the models of major processes of collection, processing and provision of data on functioning of subsystems in the system of telecommunications network management are proposed. Practical significance: The developed informational model of database in the system of telecommunications network management differs from well-known ones by the possibility of accounting for and including in the data of the implementation of the complex of unique models of functioning and management of Carrier Ethernet telecommunication network and the mechanisms of OAM management, that were previously obtained by the authors and represent subsystems in the telecommunications network management system with the use of Carrier Ethernet technology possibilities.
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Sova, Oleg. "Analysis of conditions and factors affecting cyber security in the special purpose information and telecommunication system." Technology audit and production reserves 4, no. 2(66) (July 25, 2022): 25–28. http://dx.doi.org/10.15587/2706-5448.2022.261874.

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The increase in the number of cases of failure of information and telecommunication networks due to cyber attacks determines the need to protect them from this type of attacks. The issue of increasing cyber security in the conditions of conducting operations by groups of troops (forces) is very important. Due to the armed conflict in the East of Ukraine, the military-political instability in the Middle East, the struggle for influence on world financial and energy flows, the global military-political instability is intensifying. This is due to an increase in the number of communication devices in information and telecommunication networks, as well as an increase in the number of possible attacks that can be used to disrupt the operation of an information and telecommunication network. Considering the above, the object of research is a special purpose information and telecommunication system. The subject of research is cyber security of a special purpose information and telecommunication system. Classical methods of scientific knowledge, namely analysis and synthesis, were used during the research. The research identifies factors that affect cyber security in a special purpose information and telecommunications system. All this must be taken into account while planning and deploying a special purpose information and telecommunication system. The analysis of the consequences of the impact on the information and telecommunications system of special purpose of modern devices of defeat and the impact of devices of radio-electronic suppression and other factors was carried out. A typical special purpose information and telecommunication system does not fully meet the requirements for constant readiness to ensure the management of troops (forces), stability, mobility and throughput. A formalized description of the task of improving cyber security in a special purpose information and telecommunications network is provided. The components that affect the level of cyber security of the special purpose information and telecommunication network during the group's operations have been established. The impact of the specified conditions and factors must be reflected: in the planning documents during the planning of the deployment and operation of the group's information and telecommunications system; in the software, during operational management.
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K Rakesh, Shanu, Bharat Choudhary, and Rachna Sandhu. "Cooperative Problem Solving in Telecommunication Network." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 4, no. 3 (July 24, 2013): 388–92. http://dx.doi.org/10.24297/ijmit.v4i3.4548.

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Swarm intelligence, as demonstrated by natural biological swarms, has numerous powerful properties desirable in many engineering systems, such as telecommunication. Communication network management is becoming increasingly difficult due to the increasing size, rapidly changing topology, and complexity of communication networks. This paper describes how biologically-inspired agents can be used to solve control problems in telecommunications. These agents, inspired by the foraging behaviour of ants, exhibit the desirable characteristics of simplicity of action and interaction. The colle ction of agents, or swarm system, deals only with local knowledge and exhibits a form of distributed control with agent communication effected through the environment. In this paper we explore the application of ant-like agents to the problem of routing in telecommunication networks.
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Sokolova, A. V., E. V. Login, G. A. Mashkovtsev, and I. S. Grishanov. "Package for data management of a telecommunication device in a monitoring system." E3S Web of Conferences 549 (2024): 08026. http://dx.doi.org/10.1051/e3sconf/202454908026.

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In order to identify the role of data storage in the monitoring system of a telecommunications device, a conceptual design method was used, which was based on the basic principles of the Telecommunication Management Network concept, which is a network management system for telecommunication operators. Based on this concept, it was possible to design a data storage model in the monitoring system of a telecommunications device, which clearly reflects the separation of databases involved in the telecommunications network at different levels of the concept. A description of the differences between the databases assigned to each specific level from each other and an explanation of the functional features of each of the databases under consideration, as well as a description of the data circulation process over the network, is presented. The work focuses on describing the contents of the database of a specific telecommunications device, which is the object of control in the communication network, with the possibility of developing an interface to this database, which makes it convenient to search, view and modify stored data. To designate the information stored in the database of a telecommunications device, a fragment of the database was developed containing a set of attributes characterizing the device, their values and parameters of attribute values. The role of the database interface is to enable the user to quickly and easily access the information contained in the database.
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Yakymchuk, N. M., and A. I. Toroshanko. "METHODS OF IDENTIFICATION AND COMPREHENSIVE DIAGNOSIS OF TELECOMMUNICATION SYSTEMS." Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, no. 69 (2020): 58–65. http://dx.doi.org/10.17721/2519-481x/2020/69-06.

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The article formulates the main tasks of management of information networks and telecommunications services in terms of ensuring their reliable operation. The telecommunication network is considered as a complex system consisting of many components, each of which has its own characteristics of operation during operation. The main functions of the telecommunication network control system are determined: fault detection and network status diagnostics, network device administration, forecasting and elimination of congestion and other possible deviations in network functioning, ensuring coordinated interaction between different types of control systems for providing telecommunication services with specified quality. Methods of analysis and management of networks are essentially a kind of identification methods, i.e. the current assessment of the parameters and condition of complex technical systems. There is a close relationship between identification and diagnostic tasks. The methods for solving these problems largely depend on the class to which the identification object can be assigned. Computer and telecommunication networks belong to the class of distributed systems with delays in signal and control information. Methods of retrospective identification are used to analyze the state of such systems. The influence of delays of signal and control information on the efficiency of search and determination of places of failures, overloads and emergency modes in communication networks is investigated. The results of computer simulation are given. The approach based on regular control of parameters and condition of network nodes taking into account delays of receipt of information on parameters and a condition of a concrete network node and delays of the control information necessary for adjustment of parameters of a network node as control object has found further development.
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Koudouridis, Georgios P., Serveh Shalmashi, and Reza Moosavi. "An Evaluation Survey of Knowledge-Based Approaches in Telecommunication Applications." Telecom 5, no. 1 (January 26, 2024): 98–121. http://dx.doi.org/10.3390/telecom5010006.

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The purpose of this survey study is to shed light on the importance of knowledge usage and knowledge-driven applications in telecommunication systems and businesses. To this end, we first define a classification of the different knowledge-based approaches in terms of knowledge representations and reasoning formalisms. Further, we define a set of qualitative criteria and evaluate the different categories for their suitability and usefulness in telecommunications. From the evaluation results, we could conclude that different use cases are better served by different knowledge-based approaches. Further, we elaborate and showcase our findings on three different knowledge-based approaches and their applicability to three operational aspects of telecommunication networks. More specifically, we study the utilization of large language models in network operation and management, the automation of the network based on knowledge-graphs and intent-based networking, and the optimization of the network based on machine learning-based distributed intelligence. The article concludes with challenges, limitations, and future steps toward knowledge-driven telecommunications.
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Granat, Janusz. "Data mining and complex telecommunications problems modeling." Journal of Telecommunications and Information Technology, no. 3 (September 30, 2003): 115–20. http://dx.doi.org/10.26636/jtit.2003.3.181.

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The telecommunications operators have to manage one of the most complex systems developed by human beings. Moreover, the new technological developments, the convergence of voice and data networks and the broad range of services still increase this complexity. Such complex object as telecommunication network requires advanced software tools for their planning and management. Telecommunications operators collect large volumes of the data in various databases. They realize that the knowledge in these huge databases might significantly improve various organizational strategic and operational decisions. However, this knowledge is not given explicitly, it is hidden in data. Advanced methods and algorithms are being developed for knowledge extracting. In this paper we will focus on using data mining for solving selected problems in telecommunication industry. We will provide a systematic overview of various telecommunications applications.
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V, Suma. "IMPROVED SOFTWARE-DEFINED NETWORK ROUTING FOR TELECOMMUNICATION NETWORKS." Journal of Ubiquitous Computing and Communication Technologies 01, no. 01 (September 3, 2019): 1–12. http://dx.doi.org/10.36548/jucct.2019.1.001.

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The rapid advancements in the telecommunication networks, has led to the day by day progress in the data communication leading to the inclusion of many devices that causes complexities in managing and the maintaining of the networks. The outgrowing number of new network devices makes the traditional telecommunication networks incompatible to their flexible operation and the management. So the trending software defined networking can be opted for the provision of more convenient service providing a seamless communication, but the SDN’s lags in the self-adaptability and the efficient usage of the resources as it uses the concept of the traditional networks so the paper proposes an modified method of software defined networking based on the deep learning to enhance the performance, of the telecommunication networks. Further the evaluation of the telecommunication network routing with the improvised SDN, on the packet loss rate and the average delay shows that the proposed method is compatible for the seamless information provision of the nowadays telecommunication networks.
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Dissertations / Theses on the topic "Telecommunication network management"

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Kiss, Zoltan. "Predictive Mobility Management for future mobile telecommunication networks." Thesis, De Montfort University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391858.

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Anjali, Tricha. "DiffServ/MPLS Network Design and Management." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5191.

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The MultiProtocol Label Switching (MPLS) framework is used in many networks to provide efficient load balancing which distributes the traffic for efficient Quality of Service (QoS) provisioning in the network. If the MPLS framework is combined with Differentiated Services (DiffServ) architecture, together they can provide aggregate-based service differentiation and QoS. The combined use of DiffServ and MPLS in a network is called DiffServ-aware Traffic Engineering (DS-TE). Such DiffServ-based MPLS networks demand development of efficient methods for QoS provisioning. In this thesis, an automated manager for management of these DiffServ-based MPLS networks is proposed. This manager, called Traffic Engineering Automated Manager (TEAM), is a centralized authority for adaptively managing a DiffServ/MPLS domain and it is responsible for dynamic bandwidth and route management. TEAM is designed to provide a novel and unique architecture capable of managing large scale MPLS/DiffServ domains without any human interference. TEAM constantly monitors the network state and reconfigures the network for efficient handling of network events. Under the umbrella of TEAM, new schemes for Label Switched Path (LSP) setup/teardown, traffic routing, and network measurement are proposed and evaluated through simulations. Also, extensions to include Generalized MPLS (GMPLS) networks and inter-domain management are proposed.
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Zhao, Qi. "Towards Ideal Network Traffic Measurement: A Statistical Algorithmic Approach." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19821.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2008.
Committee Chair: Xu, Jun; Committee Member: Ammar, Mostafa; Committee Member: Feamster, Nick; Committee Member: Ma, Xiaoli; Committee Member: Zegura, Ellen.
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Yang, Yang. "Network congestion control." Access restricted to users with UT Austin EID, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3037028.

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Saple, Avdhoot Kishore Yilmaz Levent. "Agent-based simulation of behavioral anticipation in computer networks a comparative study of anticipatory fault management /." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Spring/master's/SAPLE_AVDHOOTKISHORE_37.pdf.

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Che, Hao. "Measurement-based traffic modeling and network resource management /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Poon, Yuen-fong. "An evaluation of the role of the building management office in facilitating building access of network operators in Hong Kong." Click to view the E-thesis via HKUTO, 2003. http://sunzi.lib.hku.hk/hkuto/record/B31969185.

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Draai, Kevin. "A model for assessing and reporting network performance measurement in SANReN." Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/16131.

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The performance measurement of a service provider network is an important activity. It is required for the smooth operation of the network as well as for reporting and planning. SANReN is a service provider tasked with serving the research and education network of South Africa. It currently has no structure or process for determining network performance metrics to measure the performance of its network. The objective of this study is to determine, through a process or structure, which metrics are best suited to the SANReN environment. This study is conducted in 3 phases in order to discover and verify the solution to this problem. The phases are "Contextualisation", "Design",and "Verification". The "Contextualisation" phase includes the literature review. This provides the context for the problem area but also serves as a search function for the solution. This study adopts the design science research paradigm which requires the creation of an artefact. The "Design" phase involves the creation of the conceptual network performance measurement model. This is the artefact and a generalised model for determining the network performance metrics for an NREN. To prove the utility of the model it is implemented in the SANReN environment. This is done in the "Verification" phase. The network performance measurement model proposes a process to determine network performance metrics. This process includes getting NREN requirements and goals, defining the NRENs network design goals through these requirements, define network performance metrics from these goals, evaluating the NRENs monitoring capability, and measuring what is possible. This model provides a starting point for NRENs to determine network performance metrics tailored to its environment. This is done in the SANReN environment as a proof of concept. The utility of the model is shown through the implementation in the SANReN environment thus it can be said that it is generic.The tools that monitor the performance of the SANReN network are used to retrieve network performance data from. Through understanding the requirements, determining network design goals and performance metrics, and determining the gap the retrieving of results took place. These results are analysed and finally aggregated to provide information that feeds into SANReN reporting and planning processes. A template is provided to do the aggregation of metric results. This template provides the structure to enable metrics results aggregation but leaves the categories or labels for the reporting and planning sections blank. These categories are specific to each NREN. At this point SANReN has the aggregated information to use for planning and reporting. The model is verified and thus the study’s main research objective is satisfied.
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Ng, Hwee Ping. "Performance analysis of management techniques for SONET/SDH telecommunications networks." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FNg.pdf.

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Poellabauer, Christian. "Q-Fabric: System Support for Continuous Online Quality Management." Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-04082004-134256/unrestricted/poellabauer%5Fchristian%5F200405%5Fphd.pdf.

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Thesis (Ph. D.)--Computing, Georgia Institute of Technology, 2004.
Pande, Santosh, Committee Member ; Pu, Calton, Committee Member ; Schwan, Karsten, Committee Chair ; Franke, Hubertus, Committee Member ; Eisenhauer, Greg, Committee Member. Vita. Includes bibliographical references (leaves 158-169).
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Books on the topic "Telecommunication network management"

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Society, IEEE Communications, ed. Fundamentals of telecommunications network management. New York: IEEE Press, 1999.

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Kimmins, John. Telecommunications security guidelines for telecommunications management network. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1995.

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Kimmins, John. Telecommunications security guidelines for telecommunications management network. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1995.

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G, Anandalingam, and Raghavan S, eds. Telecommunications network design and management. Boston: Kluwer Academic Publishers, 2003.

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Anandalingam, G. Telecommunications Network Design and Management. Boston, MA: Springer US, 2003.

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Bates, Regis J. Network management SNMP. New York: McGraw-Hill, 2000.

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IFIP TC 6/WG 6.6 Symposium on Integrated Network Management (4th 1995 Santa Barbara, Calif.). Integrated network management IV: Proceedings of the Fourth International Symposium on Network Management, 1995. London: Chapman & Hall, 1995.

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ATM network resource management. New York: McGraw-Hill, 1997.

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Welzl, Michael. Network Congestion Control. New York: John Wiley & Sons, Ltd., 2005.

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IEEE Network Operations and Management Symposium (1992). NOMS '92: IEEE 1992 Network Operations and Management Symposium : networks without bounds. New York, N.Y: Institute of Electrical and Electronics Engineers, 1992.

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Book chapters on the topic "Telecommunication network management"

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Kaplankiran, Yasin, Alexander Keiblinger, and Hermann Többen. "Active Network Management via Agent Technology." In Telecommunication Network Intelligence, 151–59. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-0-387-35522-1_9.

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Boudaoud, K., and Zahia Guessoum. "A Multi-agents System for Network Security Management." In Telecommunication Network Intelligence, 407–18. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-0-387-35522-1_23.

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Proença, Mario Lemes, Camiel Coppelmans, Mauricio Bottoli, and L. de Souza Mendes. "Baseline to help with network management." In e-Business and Telecommunication Networks, 158–66. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-4761-4_12.

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Leray, Philippe, Patrick Gallinari, and Elisabeth Didelet. "Diagnosis tools for telecommunication network traffic management." In Artificial Neural Networks — ICANN 96, 209–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61510-5_38.

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Jakobson, G., and M. Weissman. "Real-time telecommunication network management: extending event correlation with temporal constraints." In Integrated Network Management IV, 290–301. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34890-2_26.

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Jakobson, Gabriel, Robert Weihmayer, and Mark Weissman. "A Domain-Oriented Expert System Shell for Telecommunication Network Alarm Correlation." In Network Management and Control, 365–80. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1298-5_32.

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Bashar, Abul, Gerard Parr, Sally McClean, Bryan Scotney, and Detlef Nauck. "Knowledge Discovery Using Bayesian Network Framework for Intelligent Telecommunication Network Management." In Knowledge Science, Engineering and Management, 518–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15280-1_47.

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Kahani, Mohsen, and H. W. Peter Beadle. "Immersive and Non-immersive Virtual Reality Techniques Applied to Telecommunication Network Management." In Integrated Network Management V, 383–95. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35180-3_29.

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Mateus, Geraldo R., Henrique P. L. Luna, and Adriana B. Sirihal. "Heuristics for Distribution Network Design in Telecommunication." In Heuristic Approaches for Telecommunications Network Management, Planning and Expansion, 131–48. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-5392-9_7.

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Celestino, J., J. N. de Souza, V. Wade, and J. P. Claudé. "Experience on Design and Implementation of a Computing Platform for Telecommunication Management Networks." In Network Management and Control, 409–22. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1298-5_36.

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Conference papers on the topic "Telecommunication network management"

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Qinzheng Kong and G. Chen. "Transactional workflow for telecommunication service management." In Proceedings of NOMS '96 - IEEE Network Operations and Management Symposium. IEEE, 1996. http://dx.doi.org/10.1109/noms.1996.539634.

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Antonini, R., G. Fici, and M. Gaspardone. "Energy management of telecommunication plants using Wireless Sensor Network." In 2010 14th International Conference on Intelligence in Next Generation Networks (ICIN): "Weaving Applications Into the Network Fabric". IEEE, 2010. http://dx.doi.org/10.1109/icin.2010.5640911.

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Li Qingbo, Zhang Xuejun, and Zhao Liang. "A mobility management mechanism in aeronautical telecommunication network." In IET International Communication Conference on Wireless Mobile & Computing (CCWMC 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.2023.

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Dronyuk, Ivanna, Yurii Klishch, and Svitlana Chupakhina. "Developing Fuzzy Traffic Management for Telecommunication Network Services." In 2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM). IEEE, 2019. http://dx.doi.org/10.1109/cadsm.2019.8779323.

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Wang, Tse-Han, Yen-Cheng Chen, Yu-Tang Huang, Chen-Min Hsu, Kai-Sheng Hsu, and Chung-Hua Hu. "IPDAC: An Integrated IP Address Management Framework for Telecommunication Management Networks." In 2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2019. http://dx.doi.org/10.23919/apnoms.2019.8893138.

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Mueller, Julius, Andreas Wierz, and Thomas Magedanz. "Scalable On-Demand Network Management Module for Software Defined Telecommunication Networks." In 2013 IEEE SDN for Future Networks and Services (SDN4FNS). IEEE, 2013. http://dx.doi.org/10.1109/sdn4fns.2013.6702550.

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Keeney, John, Sven van der Meer, and Liam Fallon. "Towards real-time management of virtualized telecommunication networks." In 2014 10th International Conference on Network and Service Management (CNSM). IEEE, 2014. http://dx.doi.org/10.1109/cnsm.2014.7014200.

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Xiaolin Lu. "Construct heterogeneous telecommunication network management system based on J2EE." In 2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS). IEEE, 2009. http://dx.doi.org/10.1109/peits.2009.5407016.

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Karimova, S. K. "Streaming Model of Traffic Management in the Telecommunication Network." In 2021 International Conference on Engineering Management of Communication and Technology (EMCTECH). IEEE, 2021. http://dx.doi.org/10.1109/emctech53459.2021.9619172.

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Zubair, Suleiman, Norsheila Fisal, Mohammed B. Abazeed, and Bala A. Salihu. "A proposed network management protocol for Cognitive Radio Sensor Networks." In 2012 International Symposium on Telecommunication Technologies (ISTT). IEEE, 2012. http://dx.doi.org/10.1109/istt.2012.6481571.

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Reports on the topic "Telecommunication network management"

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Kimmins, John, Charles Dinkel, and Dale Walters. Telecommunications security guidelines for telecommunications management network. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.sp.800-13.

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African Open Science Platform Part 1: Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.

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This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&D), academies of science, ministries of science and technology, policies, recognition of research, and participation in the Science Granting Councils Initiative (SGCI), the following countries demonstrate the highest commitment and political willingness to invest in science: Botswana, Ethiopia, Kenya, Senegal, South Africa, Tanzania, and Uganda. In addition to existing policies in Science, Technology and Innovation (STI), the following countries have made progress towards Open Data policies: Botswana, Kenya, Madagascar, Mauritius, South Africa and Uganda. Only two African countries (Kenya and South Africa) at this stage contribute 0.8% of its GDP (Gross Domestic Product) to R&D (Research and Development), which is the closest to the AU’s (African Union’s) suggested 1%. Countries such as Lesotho and Madagascar ranked as 0%, while the R&D expenditure for 24 African countries is unknown. In addition to this, science globally has become fully dependent on stable ICT (Information and Communication Technologies) infrastructure, which includes connectivity/bandwidth, high performance computing facilities and data services. This is especially applicable since countries globally are finding themselves in the midst of the 4th Industrial Revolution (4IR), which is not only “about” data, but which “is” data. According to an article1 by Alan Marcus (2015) (Senior Director, Head of Information Technology and Telecommunications Industries, World Economic Forum), “At its core, data represents a post-industrial opportunity. Its uses have unprecedented complexity, velocity and global reach. As digital communications become ubiquitous, data will rule in a world where nearly everyone and everything is connected in real time. That will require a highly reliable, secure and available infrastructure at its core, and innovation at the edge.” Every industry is affected as part of this revolution – also science. An important component of the digital transformation is “trust” – people must be able to trust that governments and all other industries (including the science sector), adequately handle and protect their data. This requires accountability on a global level, and digital industries must embrace the change and go for a higher standard of protection. “This will reassure consumers and citizens, benefitting the whole digital economy”, says Marcus. A stable and secure information and communication technologies (ICT) infrastructure – currently provided by the National Research and Education Networks (NRENs) – is key to advance collaboration in science. The AfricaConnect2 project (AfricaConnect (2012–2014) and AfricaConnect2 (2016–2018)) through establishing connectivity between National Research and Education Networks (NRENs), is planning to roll out AfricaConnect3 by the end of 2019. The concern however is that selected African governments (with the exception of a few countries such as South Africa, Mozambique, Ethiopia and others) have low awareness of the impact the Internet has today on all societal levels, how much ICT (and the 4th Industrial Revolution) have affected research, and the added value an NREN can bring to higher education and research in addressing the respective needs, which is far more complex than simply providing connectivity. Apart from more commitment and investment in R&D, African governments – to become and remain part of the 4th Industrial Revolution – have no option other than to acknowledge and commit to the role NRENs play in advancing science towards addressing the SDG (Sustainable Development Goals). For successful collaboration and direction, it is fundamental that policies within one country are aligned with one another. Alignment on continental level is crucial for the future Pan-African African Open Science Platform to be successful. Both the HIPSSA ((Harmonization of ICT Policies in Sub-Saharan Africa)3 project and WATRA (the West Africa Telecommunications Regulators Assembly)4, have made progress towards the regulation of the telecom sector, and in particular of bottlenecks which curb the development of competition among ISPs. A study under HIPSSA identified potential bottlenecks in access at an affordable price to the international capacity of submarine cables and suggested means and tools used by regulators to remedy them. Work on the recommended measures and making them operational continues in collaboration with WATRA. In addition to sufficient bandwidth and connectivity, high-performance computing facilities and services in support of data sharing are also required. The South African National Integrated Cyberinfrastructure System5 (NICIS) has made great progress in planning and setting up a cyberinfrastructure ecosystem in support of collaborative science and data sharing. The regional Southern African Development Community6 (SADC) Cyber-infrastructure Framework provides a valuable roadmap towards high-speed Internet, developing human capacity and skills in ICT technologies, high- performance computing and more. The following countries have been identified as having high-performance computing facilities, some as a result of the Square Kilometre Array7 (SKA) partnership: Botswana, Ghana, Kenya, Madagascar, Mozambique, Mauritius, Namibia, South Africa, Tunisia, and Zambia. More and more NRENs – especially the Level 6 NRENs 8 (Algeria, Egypt, Kenya, South Africa, and recently Zambia) – are exploring offering additional services; also in support of data sharing and transfer. The following NRENs already allow for running data-intensive applications and sharing of high-end computing assets, bio-modelling and computation on high-performance/ supercomputers: KENET (Kenya), TENET (South Africa), RENU (Uganda), ZAMREN (Zambia), EUN (Egypt) and ARN (Algeria). Fifteen higher education training institutions from eight African countries (Botswana, Benin, Kenya, Nigeria, Rwanda, South Africa, Sudan, and Tanzania) have been identified as offering formal courses on data science. In addition to formal degrees, a number of international short courses have been developed and free international online courses are also available as an option to build capacity and integrate as part of curricula. The small number of higher education or research intensive institutions offering data science is however insufficient, and there is a desperate need for more training in data science. The CODATA-RDA Schools of Research Data Science aim at addressing the continental need for foundational data skills across all disciplines, along with training conducted by The Carpentries 9 programme (specifically Data Carpentry 10 ). Thus far, CODATA-RDA schools in collaboration with AOSP, integrating content from Data Carpentry, were presented in Rwanda (in 2018), and during17-29 June 2019, in Ethiopia. Awareness regarding Open Science (including Open Data) is evident through the 12 Open Science-related Open Access/Open Data/Open Science declarations and agreements endorsed or signed by African governments; 200 Open Access journals from Africa registered on the Directory of Open Access Journals (DOAJ); 174 Open Access institutional research repositories registered on openDOAR (Directory of Open Access Repositories); 33 Open Access/Open Science policies registered on ROARMAP (Registry of Open Access Repository Mandates and Policies); 24 data repositories registered with the Registry of Data Repositories (re3data.org) (although the pilot project identified 66 research data repositories); and one data repository assigned the CoreTrustSeal. Although this is a start, far more needs to be done to align African data curation and research practices with global standards. Funding to conduct research remains a challenge. African researchers mostly fund their own research, and there are little incentives for them to make their research and accompanying data sets openly accessible. Funding and peer recognition, along with an enabling research environment conducive for research, are regarded as major incentives. The landscape report concludes with a number of concerns towards sharing research data openly, as well as challenges in terms of Open Data policy, ICT infrastructure supportive of data sharing, capacity building, lack of skills, and the need for incentives. Although great progress has been made in terms of Open Science and Open Data practices, more awareness needs to be created and further advocacy efforts are required for buy-in from African governments. A federated African Open Science Platform (AOSP) will not only encourage more collaboration among researchers in addressing the SDGs, but it will also benefit the many stakeholders identified as part of the pilot phase. The time is now, for governments in Africa, to acknowledge the important role of science in general, but specifically Open Science and Open Data, through developing and aligning the relevant policies, investing in an ICT infrastructure conducive for data sharing through committing funding to making NRENs financially sustainable, incentivising open research practices by scientists, and creating opportunities for more scientists and stakeholders across all disciplines to be trained in data management.
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