Journal articles: '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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Xinxin Zhang and D. Seret. "Supporting network management through distributed directory service." IEEE Journal on Selected Areas in Communications 12, no. 6 (1994): 1000–1010. http://dx.doi.org/10.1109/49.310957.

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Wilbur, Steve. "Local area network management for distributed applications." Computer Communications 9, no. 2 (1986): 100–104. http://dx.doi.org/10.1016/0140-3664(86)90010-1.

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Feng, Changsen, Fushuan Wen, Lijun Zhang, Chenbo Xu, Md Abdus Salam, and Shi You. "Decentralized Energy Management of Networked Microgrid Based on Alternating-Direction Multiplier Method." Energies 11, no. 10 (2018): 2555. http://dx.doi.org/10.3390/en11102555.

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With the ever-intensive utilization of distributed generators (DGs) and smart devices, distribution networks are evolving from a hierarchal structure to a distributed structure, which imposes significant challenges to network operators in system dispatch. A distributed energy-management method for a networked microgrid (NM) is proposed to coordinate a large number of DGs for maintaining secure and economic operations in the electricity-market environment. A second-order conic programming model is used to formulate the energy-management problem of an NM. Network decomposition was first carried out, and then a distributed solution for the established optimization model through invoking alternating-direction method of multipliers (ADMM). A modified IEEE 33-bus power system was finally utilized to demonstrate the performance of distributed energy management in an NM.

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MANOLA, FRANK, SANDRA HEILER, DIMITRIOS GEORGAKOPOULOS, MARK HORNICK, and MICHAEL BRODIE. "DISTRIBUTED OBJECT MANAGEMENT." International Journal of Cooperative Information Systems 01, no. 01 (1992): 5–42. http://dx.doi.org/10.1142/s0218215792000027.

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Future information processing environments will consist of a vast network of heterogeneous, autonomous, and distributed computing resources, including computers (from mainframe to personal), information-intensive applications, and data (files and databases). A key challenge in this environment is providing capabilities for combining this varied collection of resources into an integrated distributed system, allowing resources to be flexibly combined, and their activities coordinated, to address challenging new information processing requirements. In this paper, we describe the concept of distributed object management, and identify its role in the development of these open, interoperable systems. We identify the key aspects of system architectures supporting distributed object management, and describe specific elements of a distributed object management system being developed at GTE Laboratories.

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He, Qingsu, Wenting Zhou, Hongfei Xu, Limin Cui, Xuemei Li, and Jiayi Liu. "A Distributed Network Alarm Correlation Analysis Mechanism for Heterogeneous Networks." Journal of Circuits, Systems and Computers 27, no. 01 (2017): 1850012. http://dx.doi.org/10.1142/s0218126618500123.

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The current China State Grid network consists of a set of heterogeneous and distributed networks. In such a heterogeneous environment, it is a challenging task to provide efficient network alarm management, and further to analyze the correlation of alarms. Thus, an efficient and distributed network alarm analysis scheme is becoming necessary and indispensable. To this end, we have attached our emphasis on two aspects of the aforementioned problem and proposed the corresponding algorithms, respectively. Firstly, we introduced an intra-network alarm treatment process to manage the heterogeneous network alarms. Especially, we leverage on the fuzzy clustering method and fuse alarms within the same cluster into comprehensive alarms by utilizing the Dempster–Shafer theory. Secondly, we proposed an inter-network alarm analysis process to mine the correlation rules of alarms through a distributed scheme based on the Frequent Pattern-Growth (FP-Growth) association rule mining algorithm. Compared with the traditional centralized scheme and another Apriori-based distributed algorithm, our proposed scheme has a higher time efficiency for the effective management of network alarms. With the aid of such a two-step network alarm management scheme, it is easy for the network management system to make a better management of alarms in heterogeneous and distributed networks.

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KAWANO, K., K. KINOSHITA, and N. YAMAI. "A Distributed Network Mobility Management Scheme for Hierarchical Mobile IPv6 Networks." IEICE Transactions on Communications E91-B, no. 7 (2008): 2272–78. http://dx.doi.org/10.1093/ietcom/e91-b.7.2272.

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Schmidt, Andreas U., Andreas Leicher, Inhyok Cha, and Yogendra Shah. "Trusted Platform Validation and Management." International Journal of Dependable and Trustworthy Information Systems 1, no. 2 (2010): 1–31. http://dx.doi.org/10.4018/jdtis.2010040101.

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Computing platforms are approaching the era of truly distributed and mobile systems. For such large scale deployments of partly autonomously communicating and connecting network elements, trust issues acquire new qualities. Remote establishment of trust and an enabling architecture to manage distributed network elements remotely become essential. Following the authors’ previous analysis on trust establishment, this paper presents base concepts for platform validation and management, with scalable trust properties and flexible security. The presentation is set in context of machine-to-machine communication and intelligent gateways in mobile networks.

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Jin, Yushan, Ruikai Liu, Xingran He, and Yongping Huang. "A distributed power management design based on MOST networks." Computer Science and Information Systems 8, no. 4 (2011): 1097–115. http://dx.doi.org/10.2298/csis110301050j.

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MOST (Media Oriented Systems Transport) protocol is a high-speed multimedia bus protocol. The system can make more and more media devices in the car automatically collaborate, sharing of audio, video and other data, but its own power consumption has not been a better optimization. In the paper, depending on the network management and the notification mechanism, a distributed power management solutions was designed that the slave nodes can sleep independently and the master node manages the network state, and the wake-up mechanisms in the sleep state were proposed. A mathematical modeling and analysis of MOST networks power were built in MATLAB. This program takes full advantage of MOST network protocol for the intelligent management. Simulation results shown that, with the increasing number of nodes in MOST, energy saving become more effective. More than 20% power saved can be achieved with distributed power management solution in 8-node MOST.

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Fan, Kai Yuan, and Hong Jun Guo. "Research of Distributed Model of Network Management System." Applied Mechanics and Materials 539 (July 2014): 286–90. http://dx.doi.org/10.4028/www.scientific.net/amm.539.286.

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Focusing on the specific needs of network management in video surveillance platform, but almost all of current systems is insufficient. The development of OOP and distributed computer technology, especially the improvement of technology based on Web and the J2EE framework give an effect way to implement the distributed unified network management system. This paper firstly introduces n mixed network management model based on SNMP and ICE protocol. And then integrating use of web technology, Spring business logic control technology, Hibernate data persistence technology, Ajax technology to design a distributed, multilayer, extendable structure base on J2EE. Finally, we present the implement of key modules on network management system in video surveillance platform. Experimental results show that the architecture design not only meet specific needs of the large scale access and scalability but also improve the flexibility of the network management system.

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Kim, Yongsin, Kyoungjae Sun, and Younghan Kim. "Distributed Mobility Management Scheme for the Tactical Network." Journal of Korea Information and Communications Society 39C, no. 11 (2014): 1078–87. http://dx.doi.org/10.7840/kics.2014.39c.11.1078.

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A.Madkour, Mohamed, Kawther Moria, Fathy E. Eassa, and Kamal M. Jambi. "Mobile Agent Framework for Distributed Network Performance Management." International Journal of Computer Applications 88, no. 5 (2014): 12–19. http://dx.doi.org/10.5120/15348-3689.

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Min Zhang, Wei Du, Ming Jiang, Chunming Wu, and Xiao Min. "Distributed Hierarchical Management Framework for Virtual Network Embedding." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, no. 3 (2013): 477–87. http://dx.doi.org/10.4156/aiss.vol5.issue3.56.

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Marzo, Josep L., Pere Vilà, Lluı́s Fàbrega, and Daniel Massaguer. "A distributed simulator for network resource management investigation." Computer Communications 26, no. 15 (2003): 1782–91. http://dx.doi.org/10.1016/s0140-3664(03)00051-3.

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Bernstein, Lawrence. "Thresholds: Outsourcing While Making Distributed Network Management Work." Journal of Network and Systems Management 12, no. 3 (2004): 287–92. http://dx.doi.org/10.1023/b:jons.0000043681.69541.9d.

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25

Gottinger, Hans-Werner. "Network Economies for Internet Distributed Systems: Management Implications." Open Business Journal 5, no. 1 (2012): 20–27. http://dx.doi.org/10.2174/1874915101205010020.

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Pavlou, G. "Using distributed object technologies in telecommunications network management." IEEE Journal on Selected Areas in Communications 18, no. 5 (2000): 644–53. http://dx.doi.org/10.1109/49.842981.

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Ali-Ahmad, Hassan, Meryem Ouzzif, Philippe Bertin, and Xavier Lagrange. "Performance Analysis on Network-Based Distributed Mobility Management." Wireless Personal Communications 74, no. 4 (2014): 1245–63. http://dx.doi.org/10.1007/s11277-013-1575-0.

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Weihmayer, Robert, and Richard Brandau. "Cooperative distributed problem solving for communication network management." Computer Communications 13, no. 9 (1990): 547–57. http://dx.doi.org/10.1016/0140-3664(90)90006-3.

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29

Alenina, Elena Eduardovna, Sergey Vladimirovich Bolotnikov, Lyubov Viktorovna Borodacheva, Viktoriya Leonidovna Grankina, Dmitri Vladimirovich Redin, and Vitaly Lvovich Senderov. "Management tools in modern distributed social communities." LAPLAGE EM REVISTA 7, Extra-C (2021): 48–56. http://dx.doi.org/10.24115/s2446-622020217extra-c983p.48-56.

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The article is devoted to the consideration and generalization of modern management capabilities and tools of distributed social communities formed based on online resources (social networks) to achieve the set socio-economic management goals. The authors conducted a problem analysis of the identified opportunities for managing specialized social thematic resources in the implementation of joint projects, the formation of social groups based on interests and hobbies, and the promotion of brands and products. The authors identify software tools for managing social network media resources. These tools allow collecting data on consumer interaction (b2c), monitoring thematic information, and attracting a new target audience.

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Ernest, Petro Pesha, H. Anthony Chan, Olabisi Emmanuel Falowo, and Linoh A. Magagula. "Distributed Mobility Management with Distributed Routing Management at Access Routers for Network-Based Mobility Support." Wireless Personal Communications 84, no. 1 (2015): 181–205. http://dx.doi.org/10.1007/s11277-015-2602-0.

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Et. al., S. SriGowthem,. "Prediction Management from distributed data in Peer-to-Peer Distributed Network Systems." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 1S (2021): 557–60. http://dx.doi.org/10.17762/turcomat.v12i1s.1929.

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Unnamed attributes of peer-to-peer (P2P) systems display them to abhorrent movement. Peer-to-peer (P2P) systems are bargain acclimated in “file-swapping” networks to abutment broadcast agreeable split. A bulk of P2P networks for book administration accept has been developed and locate. Its affiliate tender a ample summary of P2P accretion and attention on adequate administration networks andscientific .construct and acceptance a part of aeon can abate attacks by abhorrent peers. Its cardboard provides broadcast algorithms acclimated by a associate to acumen concerning believability of any other method on the accessible bounded advice which are includes accomplished communication and direction accustomed by others. Aeon plan calm to authorize assurance a part of anniversary added after application a priori report. Assurance commitment are flexible to changes in assurance a part of peers system.

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Zhu, Shu Ren. "Distributed Customer Service Management for Internet of Things." Applied Mechanics and Materials 433-435 (October 2013): 1618–24. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1618.

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It extends the network management mode of CSM, and offers a service-oriented management interface between customers and service providers. Extends some provider’s service management towards the customers and enables customers to monitor and control information about service-specific QoS parameters. Logical network, a hierarchical presentation of abstract network is presented; the definition, attribute, structure and computing method of the logic network is discussed. The presentation and access of CSM-MIB which is implemented using distributed objects is completed; by taking advantage of logical network, the abstract customized views of physical network is built and the management functionalities of agreement, assignment, performance monitoring and reporting of CSM are implemented. Practice in implementing CSM system indicates that it is a reasonable method to construct CSM system using distributed object technology. Service Management is a developing new network management paradigm. At current stage, the applied CSM target concentrates on IP connection service.

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Zhao, Nan Nan, and Jian Bo Yao. "Hybrid Key Management Scheme for WSN." Applied Mechanics and Materials 513-517 (February 2014): 424–30. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.424.

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Wireless sensor networks are widely applied in various applications. But due to the resource-constrained sensor nodes and the malicious attacks, the traditional key management schemes are not suitable for the network. Contraposing the particularities, many relevant key management schemes are developed for WSNs the network. Based on the framework of WSNs, existing schemes can be classified into two categories: flat distributed architecture and hierarchical architecture. In this paper, a hybrid key management scheme for wireless sensor network is proposed by combining the distributed architecture and the hierarchical architecture. Based on the modified version of Dus matrix construction, this scheme can apply in WSNs with the network topology changes. Compared with existing key management schemes, this scheme can provide sufficient security, nicer key connectivity and low key storage overhead.

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Chinniah, Porkodi, and Sangavai Krishnamoorthi. "An Efficient Elliptic Curve based Key Management Scheme for Distributed Sensor Networks." European Journal of Engineering Research and Science 4, no. 6 (2019): 111–16. http://dx.doi.org/10.24018/ejers.2019.4.6.1316.

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Distributed Sensor Networks are broadly used in many applications and key distribution is a challenging task. In this work, a key management scheme is developed for distributed sensor networks based on elliptic curve cryptography over prime field. Key distribution among the nodes and interactive as well as non interactive protocols for agreement of common secret key for message transmission between two nodes are discussed. The probability for connectivity of the network generated according to the proposed key distribution scheme is discussed in detail. The implementation of the proposed scheme is done using NetSim interfaced with MATLAB. Connectivity of the network is also checked through eigenvalues of the Laplacian matrix of the network. 

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He, Chang Lin, and Yu Fen Li. "Design of a Distributed Traffic Measurement Model." Applied Mechanics and Materials 556-562 (May 2014): 6795–98. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6795.

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Based on the analysis of the advantages and disadvantages of the five currently used network traffic measurement technology, this paper proposes the distributed flow measurement model. The model divides the network by region and integrates the sub-stations and a central management station to better adapt to the high speed networks flow measurement. Meanwhile, this model greatly reduces the workload of the traffic monitoring of the central node and effectively improves the network performance because it adapts to any size LAN traffic monitoring.

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SO, YOUNG-PA, and EDMUND H. DURFEE. "A DISTRIBUTED PROBLEM-SOLVING INFRASTRUCTURE FOR COMPUTER NETWORK MANAGEMENT." International Journal of Cooperative Information Systems 01, no. 02 (1992): 363–92. http://dx.doi.org/10.1142/s0218215792000246.

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A distributed computer network management system consisting of cooperating autonomous computing agents allows network management to be more responsive due to information gathering and network recovery activities being performed in parallel. However, to perform these tasks, the network of agents requires a stable organizational infrastructure. In addition, to meet the needs of human network administrators, the distributed system must allow ultimate authority to be centralized at a single location. Distributed Big Brother (DBB) represents a pragmatic blending of diverse technologies from the field of distributed AI, such as contract formation, organizational structuring, election for role assignment, and hierarchical control. The result is an infrastructure for a network management system in which separate agents reconfigure themselves when hardware and software failures occur in order to assure the authority structure demanded by network operators. Our efforts illustrate how integrating existing distributed AI technologies can meet realistic needs, and highlight open problems that require the development of new technologies.

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Sui, Yong, and Fuguang Yao. "Application of Embedded Network Distributed Network in Student Physical Health Management Platform." Microprocessors and Microsystems 80 (February 2021): 103576. http://dx.doi.org/10.1016/j.micpro.2020.103576.

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Bifaretti, Stefano, Vincenzo Bonaiuto, Sabino Pipolo, et al. "Power Flow Management by Active Nodes: A Case Study in Real Operating Conditions." Energies 14, no. 15 (2021): 4519. http://dx.doi.org/10.3390/en14154519.

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The role of distributor system operators is experiencing a gradual but relevant change to include enhanced ancillary and energy dispatch services needed to manage the increased power provided by intermittent distributed generations in medium voltage networks. In this context, the paper proposes the insertion, in strategic points of the network, of specific power electronic systems, denoted as active nodes, which permit the remote controllability of the active and reactive power flow. Such capabilities, as a further benefit, enable the distributor system operators to provide ancillary network services without requiring any procurement with distributed generation systems owners. In particular, the paper highlights the benefits of active nodes, demonstrating their capabilities in reducing the inverse power flow issues from medium to high voltage lines focusing on a network cluster including renewable energy resources. As a further novelty, this study has accounted for a real cluster operated by the Italian distributor system operator Areti. A specific simulation model of the electrical lines has been implemented in DigSilent PowerFactory (DIgSILENT GmbH–Germany) software using real operating data obtained during a 1-year measurement campaign. A detailed cost-benefit analysis has been provided, accounting for different load flow scenarios. The results have demonstrated that the inclusion of active nodes can significantly reduce the drawbacks related to the reverse power flow.

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Shi, Zhong, Zhijie Wang, Yue Jin, Nengling Tai, Xiuchen Jiang, and Xiaoyu Yang. "Optimal Allocation of Intermittent Distributed Generation under Active Management." Energies 11, no. 10 (2018): 2608. http://dx.doi.org/10.3390/en11102608.

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In recent years, distributed generation (DG) has developed rapidly. Renewable energy, represented by wind energy and solar energy, has been widely studied and utilized. At present, most distributed generators follow the principle of “installation is forgetting” after they are connected to a distribution network. This principle limits the popularization and benefit of distributed generation to a great extent. In order to solve these problems, this paper presents a two-tier model for optimal allocation of distributed power sources in active distribution networks (ADN). The objective of upper level planning is to minimize the annual comprehensive cost of distribution networks, and the objective of lower level planning is to minimize the active power cut-off of distributed generation through active management mode. Taking into account the time series characteristics of load and distributed power output, the improved K-means clustering method is used to cluster wind power and the photovoltaic output in different scenarios to get the daily curves in typical scenarios, and a bilevel programming model of distributed generation based on multiscenario analysis is established under active management mode. The upper level programming model is solved by Quantum genetic algorithm (QGA), and the lower level programming model is solved by the primal dual interior point method (PDIPM). The rationality of the model and the effectiveness of the algorithm are verified by simulation and analysis of a 33-bus distribution network.

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Gohar, Moneeb, Jin-Ghoo Choi, Seok-Joo Koh, Kashif Naseer, and Sohail Jabbar. "Distributed Mobility Management in 6LoWPAN-Based Wireless Sensor Networks." International Journal of Distributed Sensor Networks 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/620240.

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In 6LoWPAN networks, several mobility management schemes have been proposed based on Mobile IPv6 (MIPv6) and Proxy Mobile IPv6 (PMIPv6). However, the existing schemes are centralized, and thus they have many serious drawbacks such as nonoptimal data route, injection of unwanted data traffics into core networks, increased cost of network engineering, and large registration and handover delays. To overcome these limitations, we propose new distributed mobility management schemes for 6LoWPAN networks. In the proposed schemes, Home Agent (HA), Local Mobility Anchor (LMA), and Mobile Access Gateway (MAG) functions are implemented in 6LoWPAN gateways, and the handover operations are performed directly between two neighboring 6LoWPAN gateways. By numerical analysis, we show that the proposed distributed schemes can significantly reduce the registration and handover delays, compared to the existing centralized mobility schemes.

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Chen, T. M., and S. S. Liu. "A model and evaluation of distributed network management approaches." IEEE Journal on Selected Areas in Communications 20, no. 4 (2002): 850–57. http://dx.doi.org/10.1109/jsac.2002.1003049.

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Etemadnia, Hamideh, Khaled Abdelghany, and Ahmed Hassan. "A network partitioning methodology for distributed traffic management applications." Transportmetrica A: Transport Science 10, no. 6 (2013): 518–32. http://dx.doi.org/10.1080/23249935.2013.795200.

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Jupe, S. C. E., and P. C. Taylor. "Distributed generation output control for network power flow management." IET Renewable Power Generation 3, no. 4 (2009): 371. http://dx.doi.org/10.1049/iet-rpg.2008.0029.

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Nehra, Neeraj, Naveen Kumar Gondhi, Durgesh Pant, and R. B. Patel. "Mobile Agent Based Expert System for Distributed Network Management." Information Technology Journal 6, no. 6 (2007): 891–96. http://dx.doi.org/10.3923/itj.2007.891.896.

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Kona, Manoj Kumar, and Cheng-Zhong Xu. "An integrated mobile agent framework for distributed network management†." International Journal of Parallel, Emergent and Distributed Systems 20, no. 1 (2005): 39–55. http://dx.doi.org/10.1080/17445760500033333.

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46

Brandenburg, U. W., and J. Hall. "Network Management and Control in a Distributed CIM Environment." IFAC Proceedings Volumes 21, no. 12 (1988): 117–23. http://dx.doi.org/10.1016/b978-0-08-036938-9.50024-8.

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Do, Truong-Xuan, and Younghan Kim. "EPD-NEMO: efficient PMIPv6-based distributed network mobility management." Wireless Networks 21, no. 7 (2015): 2303–14. http://dx.doi.org/10.1007/s11276-015-0916-1.

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Giust, Fabio, Carlos J. Bernardos, and Antonio de la Oliva. "HDMM: deploying client and network-based distributed mobility management." Telecommunication Systems 59, no. 2 (2015): 247–70. http://dx.doi.org/10.1007/s11235-014-9959-3.

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Cominardi, Luca, Fabio Giust, Carlos J. Bernardos, and Antonio De La Oliva. "Distributed mobility management solutions for next mobile network architectures." Computer Networks 121 (July 2017): 124–36. http://dx.doi.org/10.1016/j.comnet.2017.04.008.

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Korovin, Iakov S., Anatoly Kalyaev, and Maxim Khisamutdinov. "Usage of Network-Centric Approach to Distributed Management of Complex Systems." Applied Mechanics and Materials 834 (April 2016): 199–204. http://dx.doi.org/10.4028/www.scientific.net/amm.834.199.

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Abstract:

Under current conditions of oil industry development in Russia the information technology genesis is getting increasingly important. The operational data “flow” consisting of enourmous number of sensors and gauges and is increasing, reflecting the intensifying interaction between different production processes, and is critical for the decision-making time. Therefore, the communication system in the oilfield is gaining in size and complexity. In the frame of the "digital oilfield" conception that has grown recently over the past few years, the active organization of production processes into unified systems in the oilfield has begun. The first control systems that combine into a single structure the various purposes technological equipment are arising, with their basic element being the data exchange telecommunication networks that allow to fulfill centralized interaction between information resources and decision-makers. Due to central place of the network, such systems have been called "network-centric".

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Journal articles on the topic 'Distributed network management'

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