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Relevant bibliographies by topics / Distributed network management

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Academic literature on the topic 'Distributed network management'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Distributed network management"

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Raz, D., and Y. Shavitt. "Active networks for efficient distributed network management." IEEE Communications Magazine 38, no. 3 (2000): 138–43. http://dx.doi.org/10.1109/35.825651.

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He, Ming, Lin Chen, Hong Wang, and Zheng Hu Gong. "Distributed Network Topology Management in Network Coding." Advanced Materials Research 546-547 (July 2012): 1270–75. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.1270.

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In this research, we focus on distributed network management in network coding. Web Services Distributed Management (WSDM) is one of the industry standards for distributed management. With the advantage of WSDM, we improve the efficiency of topology management in network coding and propose Distributed Topology Management System (DTMS). Under the campus network as our experimental environment, we analyze the performance of our system in this paper. Further, we compare the performance of our system with AdventNet Web NMS which is one of popular network management tools. Our work is the first solution to distributed network management in network coding. It is also the first to introduce WSDM specification to network coding. WSDM brings us a loosely coupling topology management system which is user-friendly and performs well.

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Saini, Anish, Atul Mishra, and A. K Sharma. "Distributed Network Management Architectures: A Review." International Journal of Computer Applications 68, no. 3 (2013): 30–36. http://dx.doi.org/10.5120/11561-6845.

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Du, Timon C., Eldon Y. Li, and An-Pin Chang. "Mobile agents in distributed network management." Communications of the ACM 46, no. 7 (2003): 127–32. http://dx.doi.org/10.1145/792704.792710.

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Lim, D., and A. Anbuky. "A Distributed Industrial Battery Management Network." IEEE Transactions on Industrial Electronics 51, no. 6 (2004): 1181–93. http://dx.doi.org/10.1109/tie.2004.837870.

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dos Santos, Aldri L., Elias P. Duarte Jr., and Glenn M. Keeni. "Reliable Distributed Network Management by Replication." Journal of Network and Systems Management 12, no. 2 (2004): 191–213. http://dx.doi.org/10.1023/b:jons.0000034213.75955.8b.

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Tschammer, V., and H. Klessmann. "Network management in distributed control systems." IFAC Proceedings Volumes 18, no. 1 (1985): 115–22. http://dx.doi.org/10.1016/b978-0-08-031664-2.50023-1.

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Heo, Taewook, Hyunhak Kim, Yoonmee Doh, et al. "Multitiered and Distributed WSAN for Cooperative Indoors Environment Management." Mobile Information Systems 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/6979178.

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For the past decade, wireless sensor networks have focused primarily on data collection. As a result the network topology for these systems was usually heavily centralized. However, for these networks to form a full system, the introduction of proper actuation units and decision-making intelligence is inevitable. Such a new wireless sensor and actuator network system enables new architectural research issues that have not been previously studied. In this work, we introduce the DWSAN system architecture, which effectively combines both sensor and actuation hardware devices to a single network and manages this network so that the actuation decisions are made in a distributed manner and the topology of the network maintains a multitier architecture. Our intensive set of evaluations reveal that, compared to the centralized approach that has been used in most wireless sensor network systems until now, when actuation units are introduced to the system, the DWSAN architecture reduces the transmission load of the network and the actuation decision-making latency by close to twofold and threefold, respectively. Furthermore, we show that this benefit naturally leads to better scalability of the system, making it suitable for various sensing applications in different environments.

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Chen, Junting, Wenhan Dai, Yuan Shen, Vincent K. N. Lau, and Moe Z. Win. "Resource Management Games for Distributed Network Localization." IEEE Journal on Selected Areas in Communications 35, no. 2 (2017): 317–29. http://dx.doi.org/10.1109/jsac.2017.2659318.

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Sirajuddin, Shaik, and Mohammed H. Sqalli. "Distributed XML-based network management using JPVM." International Journal of Network Management 16, no. 4 (2006): 263–77. http://dx.doi.org/10.1002/nem.598.

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Dissertations / Theses on the topic "Distributed network management"

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Coffield, D. T. "Network and distributed systems management." Thesis, Lancaster University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380320.

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Lim, Darren Tze Chang. "Distributed battery management system network architecture." Thesis, University of Canterbury. Electrical and Computer Engineering, 2004. http://hdl.handle.net/10092/5595.

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The design of a modular, flexible and extensible distributed CAN-based battery management system is examined in this thesis. The advent of next generation networks has placed an increasing demand for greater reliability from telecommunication power systems. A crucial component of the power system is the standby battery network. Battery networks are typically monitored by battery management systems. Existing management systems are more concerned with process level control methodology rather than system level organisation of the network architecture. Moreover, most existing systems are based on proprietary communication protocols. The proposed management solution addresses these local area network limitations, as well as the distribution of intelligence at the process level, integration between the local and wide area networks and transparency between the process and user levels. The local network organisation is based on generic network nodes which perform management, monitoring and control activities through specialised hardware interfaces. Remote connectivity to the local network is facilitated through applet-servlet communication over the Internet. A modular design has been applied to the implementation of the node software to allow easy expandability of node functionality. The local battery network has been naturally and logically partitioned and a distributed data organisation has been adopted to facilitate transparency of data transfer from the process-level to the user-level via a well-defined communication channel. The system design is based on isolated concurrent processes that ensure system stability and successfully integrate the local control network with the wide network. A messaging system for the local CAN network has been formulated based on transmission of command, data and status messages related to battery management functionality. Performance analysis of the local network and the node organisation has shown the substantial capacity of the proposed system for handling the battery management application. The designed battery network simulation model allows the performance evaluation of various battery application scenarios. The simulation model focuses on the generic components within the management system and encapsulates the primary features of the network organisation. The Extend simulation package has been used in the design of the model. The key criteria of the simulation model organisation and model block design are well defined. Limitations of the simulation package have also been identified.

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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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Torrente, Salvatore. "An object-oriented approach to distributed network management." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23757.

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Network management is concerned with monitoring, controlling and coordinating network elements for reliable end-to-end customer services. This thesis presents an object-oriented approach to distributed network management of heterogeneous network elements across multiple telecommunication network service provider domains. Specifically, we present a prototype network management approach using distributed object database management systems as a repository and manager of a standard network information model, and we present the results of object interaction across distributed object-oriented databases. In particular, we provide data which illustrates the advantages of an active and dynamic network management environment over static management information bases for fast and efficient telecommunications Operations, Administration, Maintenance and Provisioning (OAM&P) of end-to-end network services. Finally, we expand on distributed object-oriented systems and their role in future information networking architectures.

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Wittner, Otto. "Emergent behavior based implements for distributed network management." Doctoral thesis, Norwegian University of Science and Technology, Department of Telematics, 2003. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1787.

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<p>Network and system management has always been of concern for telecommunication and computer system operators. The need for standardization was recognised already 20 years ago, hence several standards for network management exist today. However, the ever-increasing number of units connected to networks and the ever-increasing number of services being provided results in significant increased complexity of average network environments. This challenges current management systems. In addition to the general increase in complexity the trend among network owners and operators of merging several single service networks into larger, heterogeneous and complex full service networks challenges current management systems even further. The full service networks will require management systems more powerful than what is possible to realize basing systems purely on todays management standards. This thesis presents a distributed stochastic optimization algorithm which enables implementations of highly robust and efficient management tools. These tools may be integrated into management systems and potentially make the systems more powerful and better prepared for management of full service networks.</p><p>Emergent behavior is common in nature and easily observable in colonies of social insects and animals. Even an old oak tree can be viewed as an emergent system with its collection of interacting cells. Characteristic for any emergent system is how the overall behavior of the system emerge from many relatively simple, restricted behaviors interacting, e.g. a thousand ants building a trail, a flock of birds flying south or millions of cells making a tree grow. No centralized control exist, i.e. no single unit is in charge making global decisions. Despite distributed control, high work redundancy and stochastic behavior components, emergent systems tend to be very efficient problem solvers. In fact emergent systems tend to be both efficient, adaptive and robust which are three properties indeed desirable for a network management system. The algorithm presented in this thesis relates to a class of emergent behavior based systems known as swarm intelligence systems, i.e. the algorithm is potentially efficient, adaptive and robust.</p><p>On the contrary to other related swarm intelligence algorithms, the algorithm presented has a thorough formal foundation. This enables a better understanding of the algorithm’s potentials and limitations, and hence enables better adaptation of the algorithm to new problem areas without loss of efficiency, adaptability or robustness. The formal foundations are based on work by Reuven Rubinstein on cross entropy driven optimization. The transition from Ruinstein’s centralized and synchronous algorithm to a distributed and asynchronous algorithm is described, and the distributed algorithm’s ability to solve complex problems (NP-complete) efficiently is demonstrated.</p><p>Four examples of how the distributed algorithm may be applied in a network management context are presented. A system for finding near optimal patterns of primary/backup paths together with a system for finding cyclic protection paths in mesh networks demonstrate the algorithm’s ability to act as a tool helping management system to ensure quality of service. The algorithm’s potential as a management policy implementation mechanism is also demonstrated. The algorithm’s adaptability is shown to enable resolution of policy conflicts in a soft manner causing as little loss as possible. Finally, the algorithm’s ability to find near optimal paths (i.e. sequences) of resources in networks of large scale is demonstrated.</p>

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Ari, Ismail. "Design and management of globally-distributed network caches /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2004. http://uclibs.org/PID/11984.

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Athanasiadis, Dimitrios. "Decentralising active network management through distributed constraint optimisation." Thesis, University of Strathclyde, 2017. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=27880.

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Electricity networks are becoming more complex due to the introduction of distributed energy sources. The power grid will face fundamental changes in its structure and behaviour. In addition, new technologies will be required in order to maintain the stability of the network. A key enabling technology for the future power networks is autonomous distribution networks which operate in cooperation with distributed grid intelligence and active network management. Local control can be achieved through fast control and communications and needs to be coordinated with the overall system controls. The primary issues for distribution network operation with a high penetration of distributed resources is power flow management as well as voltage control. Active Network Management can be described as the control and management of generation and load in distribution networks. The main concept is to satisfy network limits such as voltage, power and frequency while at the same time increase the connected generation output with the minimum cost. There is a need for coordination between generators to maintain the balance in the network and avoid investment costs. This thesis considers the introduction of Distributed Constraint Optimisation as a way of providing Active Network Management. It is an agent-based coordination method that is able to coordinate generators’ output without violation of network constraints. This method, which is drawn from the Artificial Intelligence community and was previously used for smaller problems such as meeting scheduling, is studied and evaluated for use in power systems networks in order to provide solutions in a decentralised way. Case studies consider both DC and AC power flow management and the solution of the economic dispatch problem. DC power flow management under DCOP provides optimal solutions for radial networks while AC power flow management is examined from a theoretical standpoint until the limitations of distributed constrained optimisation software are addressed.

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Wang, Baoyu. "An architecture for domain based distributed systems management." Thesis, Lancaster University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277397.

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Balamuru, Vinay Gopal. "The Role of Intelligent Mobile Agents in Network Management and Routing." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2736/.

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In this research, the application of intelligent mobile agents to the management of distributed network environments is investigated. Intelligent mobile agents are programs which can move about network systems in a deterministic manner in carrying their execution state. These agents can be considered an application of distributed artificial intelligence where the (usually small) agent code is moved to the data and executed locally. The mobile agent paradigm offers potential advantages over many conventional mechanisms which move (often large) data to the code, thereby wasting available network bandwidth. The performance of agents in network routing and knowledge acquisition has been investigated and simulated. A working mobile agent system has also been designed and implemented in JDK 1.2.

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Everingham, Michael A. "Proposed management architecture for managing a distributed network information system." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA297890.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, March 1995.<br>"March 1995." Thesis advisor(s): M. Suh, W.B. Short. Includes bibliographical references. Also available online.

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Books on the topic "Distributed network management"

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Jill, Huntington-Lee, ed. Applications for distributed systems and network management. Van Nostrand Reinhold, 1995.

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Terplan, Kornel. Applications for distributed systems and network management. Van Nostrand Reinhold, 1995.

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Ghoshal, Sumantra. Distributed innovation in the "differentiated network" multinational. INSEAD, 1991.

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Abawajy, Jemal H. Network and traffic engineering in emerging distributed computing applications. Information Science Reference, 2013.

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FDDI networking: Planning, installation, and management. McGraw-Hill, 1994.

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Nemzow, Martin A. W. FDDI networking: Planning, installation, and management. McGraw-Hill, 1993.

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Tran, Allen Quoc-Luan. A network management facility for a fault-tolerant distributed information retrieval system. National Library of Canada, 2000.

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IFIP/IEEE International Symposium on Integrated Network Management (6th 1999 Boston, Mass.). Integrated network management VI: Distributed management for the networked millennium : proceedings of the Sixth IFIP/IEEE International Symposium on Integrated Network Management, Boston, MA, U.S.A., 24-28 May 1999. IEEE Publishing, 1999.

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IFIP/IEEE International Workshop on Distributed Systems: Operations and Management (11th 2000 Austin, Teax.). Services management in intelligent networks: 11th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management, DSOM 2000, Austin, TX, USA, December 4-6, 2000 : proceedings. Springer, 2000.

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Rolf, Stadler, and Stiller Burkhard 1965-, eds. Active technologies for network and service management: 10th IFIP/IEEE International Workshop on Distributed Systems, Operations and Management, DSOM'99, Zurich, Switzerland, October 11-13, 1999 : proceedings. Springer, 1999.

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Book chapters on the topic "Distributed network management"

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Nikolik, Dragan. "Distributed Network Management." In A Manager’s Primer on e-Networking. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-0862-4_13.

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Witting, Karen, James Challenger, and Brian O’Connell. "Monitoring Distributed Systems." In Integrated Network Management VIII. Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35674-7_7.

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Ahituv, Niv, and Oded Berman. "Distributed Service Network Characteristics." In Operations Management of Distributed Service Networks. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-0991-8_1.

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Katzela, I., A. T. Bouloutas, and S. B. Calo. "Centralized vs Distributed Fault Localization." In Integrated Network Management IV. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34890-2_22.

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Pell, A. R., K. Eshghi, J.-J. Moreau, and S. J. Towers. "Managing in a distributed world." In Integrated Network Management IV. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34890-2_9.

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Chadha, Ritu, and Sze-Ying Wuu. "Incorporating Manageability into Distributed Software." In Integrated Network Management V. Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35180-3_36.

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Stadler, Rolf. "Protocols for Distributed Embedded Management." In Network-Embedded Management and Applications. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-6769-5_13.

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Kinane, Brian. "Distributing Public Network Management Systems Using CORBA." In Open Distributed Processing. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34882-7_9.

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Crane, S., N. Dulay, H. Fosså, et al. "Configuration Management For Distributed Software Services." In Integrated Network Management IV. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34890-2_3.

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Reed, Benjamin, Michael Peercy, and Ed Robinson. "Distributed systems management on the web." In Integrated Network Management V. Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35180-3_7.

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Conference papers on the topic "Distributed network management"

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Truong-Xuan Do and Younghan Kim. "Distributed network mobility management." In 2012 International Conference on Advanced Technologies for Communications (ATC 2012). IEEE, 2012. http://dx.doi.org/10.1109/atc.2012.6404284.

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Fallon, Liam, John Keeney, and Sven van der Meer. "Distributed Management Information Models." In 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). IEEE, 2017. http://dx.doi.org/10.23919/inm.2017.7987306.

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Jung, Low Tang, and Asif Ali Wagan. "Distributed Network Mobility Management Scheme for Network Mobility." In 2018 4th International Conference on Computer and Information Sciences (ICCOINS). IEEE, 2018. http://dx.doi.org/10.1109/iccoins.2018.8510603.

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Ernest, Petro P., H. Anthony Chan, Olabisi E. Falowo, Linoh A. Magagula, and Sandra Cespedes. "Network-based distributed mobility management for network mobility." In 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC). IEEE, 2014. http://dx.doi.org/10.1109/ccnc.2014.6866604.

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Korel, Bogdan, Horst Wedde, Srinivas Magaraj, Kalique Nawaz, and Venugopal Dayana. "Version management in distributed network environment." In the 3rd international workshop. ACM Press, 1991. http://dx.doi.org/10.1145/111062.111083.

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Malchow, Jan-Ole, and Volker Roth. "CryptID - distributed identity management infrastructure." In 2015 IEEE Conference on Communications and Network Security (CNS). IEEE, 2015. http://dx.doi.org/10.1109/cns.2015.7346910.

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Martel, E., J. Miranda, L. Hernandez, and F. Guerra. "Remote management of distributed application." In 12th Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2004. Proceedings. IEEE, 2004. http://dx.doi.org/10.1109/empdp.2004.1271441.

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Tianyu, Han, and Di Wenchen. "Network Distance Estimation for Distributed Information Collection." In 2011 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2011. http://dx.doi.org/10.1109/iciii.2011.376.

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Riggio, Roberto, Matteo Gerola, Daniele Miorandi, Andrea Zanardi, and Francois Jan. "A distributed network monitoring framework for wireless networks." In 2011 IFIP/IEEE International Symposium on Integrated Network Management (IM 2011). IEEE, 2011. http://dx.doi.org/10.1109/inm.2011.5990567.

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Palma, Carlos, and Luis Rodrigues. "Supporting views in network management systems." In 12th International Workshop on Distributed Systems: Operations & Management. Institut National de Recherche en Informatique et en Automatique, INRIA, 2001. http://dx.doi.org/10.3990/2.27.

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Reports on the topic "Distributed network management"

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

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Meyer, Paul. Internet Draft Distributed Network Management Security,. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada325665.

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Roboam, Michel, Mark S. Fox, and Katia Sycara. Enterprise Management Network Architecture Distributed Knowledge Base Support. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada230113.

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Wijnen, B., G. Carpenter, K. Curran, A. Sehgal, and G. Waters. Simple Network Management Protocol Distributed Protocol Interface Version 2.0. RFC Editor, 1994. http://dx.doi.org/10.17487/rfc1592.

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Carpenter, G., and B. Wijnen. SNMP-DPI: Simple Network Management Protocol Distributed Program Interface. RFC Editor, 1991. http://dx.doi.org/10.17487/rfc1228.

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Meyer, Robert A., and Susan E. Conry. Northeast Artificial Intelligence Consortium Annual Report 1986. Volume 3. Distributed Artificial Intelligence for Communication Network Management. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada197957.

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Baras, J., H. Li, and G. Mykoniatis. Integrated, Distributed Fault Management for Communication Networks. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada440085.

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Kryukova, Svetlana, Berna Massingill, and Beverly Sanders. An Algorithm for Distributed Location Management in Networks of Mobile Computers. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada443241.

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Chowdhury, Pulak, and Biswanath Mukherjee. Final Report - Cloud-Based Management Platform for Distributed, Multi-Domain Networks. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1406926.

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Shiang, Hsien-Po, and Mihaela van der Schaar. Distributed Resource Management in Multi-hop Cognitive Radio Networks for Delay Sensitive Transmission. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada481600.

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