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Journal articles on the topic 'Network management'

To see the other types of publications on this topic, follow the link: Network management.

Author: Grafiati

Published: 4 June 2021

Last updated: 22 June 2024

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1

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

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2

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

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

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3

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

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4

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

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5

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

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

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6

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

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

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7

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

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

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8

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

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

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9

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

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10

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

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11

Matheus, Christopher J., Aidan Boran, Dominic Carr, Rem W. Collier, Barnard Kroon, Olga Murdoch, David Lillis, Michael J. O'Grady, and Gregory M. P. O'Hare. "Semantic network management for next‐generation networks." Computational Intelligence 35, no. 2 (May 17, 2018): 285–309. http://dx.doi.org/10.1111/coin.12180.

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12

Kim, Mun-Suk, and SuKyoung Lee. "Enhanced Network Mobility Management for Vehicular Networks." IEEE Transactions on Intelligent Transportation Systems 17, no. 5 (May 2016): 1329–40. http://dx.doi.org/10.1109/tits.2015.2504122.

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13

Warrier, U., P. Relan, O. Berry, and J. Bannister. "A network management language for OSI networks." ACM SIGCOMM Computer Communication Review 18, no. 4 (August 1988): 98–105. http://dx.doi.org/10.1145/52325.52335.

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14

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

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15

Ayadi, Hayfa, Ahmed Zouinkhi, Thierry Val, Adrien van den Bossche, and Mohamed Naceur Abdelkrim. "Network Lifetime Management in Wireless Sensor Networks." IEEE Sensors Journal 18, no. 15 (August 1, 2018): 6438–45. http://dx.doi.org/10.1109/jsen.2018.2840830.

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16

Leng, Quan, Wei-Ju Chen, Pei-Chi Huang, Yi-Hung Wei, Aloysius K. Mok, and Song Han. "Network Management of Multicluster RT-WiFi Networks." ACM Transactions on Sensor Networks 15, no. 1 (February 21, 2019): 1–26. http://dx.doi.org/10.1145/3283451.

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17

Pentikousis, Kostas, Ramon Agüero, and Symeon Papavassiliou. "Mobility and Network Management in Heterogeneous Networks." Mobile Networks and Applications 16, no. 4 (June 8, 2011): 409–11. http://dx.doi.org/10.1007/s11036-011-0324-4.

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18

Pentikousis, Kostas, Ramon Agüero, Susana Sargento, and Rui L. Aguiar. "Mobility and Network Management in Virtualized Networks." Mobile Networks and Applications 17, no. 4 (July 1, 2012): 431–34. http://dx.doi.org/10.1007/s11036-012-0389-8.

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19

Saydam, Tuncay, and Thomas Magedanz. "From networks and network management into service and service management." Journal of Network and Systems Management 4, no. 4 (December 1996): 345–48. http://dx.doi.org/10.1007/bf02283158.

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20

Marques, Leonardo. "Sustainable supply network management." International Journal of Productivity and Performance Management 68, no. 6 (July 8, 2019): 1164–90. http://dx.doi.org/10.1108/ijppm-12-2017-0329.

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Purpose The purpose of this paper is to scrutinise how the sustainable supply chain management (SSCM) literature has discussed knowledge dynamics across the extended supply network, particularly in the contemporary context of fragmented, globally dispersed supply networks. Design/methodology/approach A systematic approach to reviewing the literature is applied, covering 20 years, starting with 267 references, and narrowing down to 88 articles specifically addressing knowledge diffusion processes across the extended supply network. Findings This study shows that vertical ties limited to direct suppliers or third-party monitoring of global suppliers are both insufficient. Lack of co-opetition is an impediment to knowledge diffusion. And the debate of whether or not global dispersion is an impediment to knowledge diffusion seems inconclusive. More importantly, there is a lack of network-level studies mapping the diversity of actors in supply networks. Research limitations/implications First, future SSCM research should shift from an operational focus to strategic knowledge diffusion. Second, the scope of SSCM should expand from linear buyer–supplier relationships to multi-tier and multilateral studies. Special focus should be placed on the literature on social network to support processes that look at the drivers of effective large-scale, global diffusion of sustainability. Originality/value This review contends that it is paramount to set a new research direction captured in a new definition of “sustainable supply network management”. Future research should overcome the barriers of data collection at the network level in order to contribute to the field’s current challenges, which clearly lies in globally dispersed and complex supply network, not dyads or linear chains.

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21

Chiu, Timothy. "Getting proactive network management from reactive network management tools." International Journal of Network Management 8, no. 1 (January 1998): 12–17. http://dx.doi.org/10.1002/(sici)1099-1190(199801/02)8:1<12::aid-nem289>3.0.co;2-b.

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22

Stancu, Stefan Nicolae, Arkadiy Shevrikuko, and David Gutierrez Rueda. "Evolving CERN’s Network Configuration Management System." EPJ Web of Conferences 214 (2019): 08015. http://dx.doi.org/10.1051/epjconf/201921408015.

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CERN’s networks comprise several thousands network devices from multiple vendors and from different generations, fulfilling various purposes (campus network, data centre network, and dedicated networks for the LHC accelerator and experiments control). To ensure the reliability of the networks, the IT Communication Systems group has developed an in-house, Perl-based software called “cfmgr”, capable of deriving and enforcing the appropriate configuration on all these network devices, based on information from a central network database. Due to the decrease in popularity of the technologies it relies upon, maintaining and expanding the current network configuration management system has become increasingly challenging. Hence, we have evaluated the functionality of various open-source network configuration tools, in view of leveraging them for evolving the cfmgr platform. We will present the result of this evaluation, as well as the plan for evolving CERN’s network configuration management system by decoupling the configuration generation (CERN specific) from the configuration enforcement (generic problem, partially addressed by vendor or community Python based libraries).

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23

Maciá-Pérez, Francisco, Iren Lorenzo-Fonseca, Jose Vicente Berná-Martinez, and Jose Manuel Sánchez-Bernabeu. "Conceptual Modelling of Complex Network Management Systems." Journal of Computers 10, no. 5 (2015): 309–20. http://dx.doi.org/10.17706/jcp.10.5.309-320.

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24

Šubrt, T. "Multiple criteria network models for project management." Agricultural Economics (Zemědělská ekonomika) 50, No. 2 (February 24, 2012): 71–76. http://dx.doi.org/10.17221/5169-agricecon.

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The aim of the paper is to present one possibility of how to model and solve a resource oriented critical path problem. As a starting point, a single criteria model for critical path finding is shortly mentioned. Lately, more criteria functions for this model are defined. If any project task uses more resources for its completion, its duration usually depends on only one of them – other resources are not fully used. In here defined multiple criteria approach, these dependencies are not assumed. Each criteria function is derived from a theoretical task duration based on a number of units of only one resource and on its importance. Using either linear programming model with aggregated criteria function or simple Excel calculation with Microsoft Project software support, a so-called compromise critical path can be found. On this path, some resources are overallocated and some are underallocated but the total sum of all underallocations and all overallocations is minimized. All resources are used as effectively as possible and the project is as short as possible too.

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25

Cristofoli, Daniela, Mattia Martini, Benedetta Trivellato, and Dario Cavenago. "Management and culture in successful networks." International Journal of Public Sector Management 33, no. 4 (December 4, 2019): 381–400. http://dx.doi.org/10.1108/ijpsm-11-2018-0238.

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Purpose It is generally recognized that network management is a critical factor for network success. It is also acknowledged that different managerial behaviors are necessary in different network settings. Scholars have explored the relationships between network characteristics and managerial behaviors, but the role of network culture in influencing network managers’ activities remains under-investigated. The purpose of this paper is to address this gap. Design/methodology/approach The analysis is developed through a fuzzy-set qualitative comparative analysis of 18 country-based networks involved in the same EU-funded project. Findings The results shed light on two different combinations of network culture types and management practices simultaneously leading to high network performance. Originality/value The paper confirms the existence of a relationship between network management and certain characteristics of the networks, in particular network culture.

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26

Tafur, Anibal, and Jamie E. Padgett. "DIGITAL TWINNING AS A DECISION SUPPORT TOOL FOR RESILIENCE PLANNING OF COASTAL INTERMODAL TRANSPORTATION NETWORKS." Coastal Engineering Proceedings, no. 37 (September 1, 2023): 185. http://dx.doi.org/10.9753/icce.v37.management.185.

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Intermodal freight transportation networks (seaport-road-rail) constitute the economic backbone of coastal communities. From the current state of the literature, it is observed that despite their importance, intermodal transportation networks remain unserved with comprehensive tools that support high-level planning for resilience of existing and future infrastructure under hurricane scenarios. To address these gaps, this paper proposes the implementation of a decision support tool based on digital twinning, which is able to predict system performance in terms of resilience, given three main inputs: hazard intensities, budgetary constraints, and the characteristics and topology of the network.

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27

Hunter, P. "Network heal thyself [computer network management]." Engineering & Technology 4, no. 14 (August 8, 2009): 58–60. http://dx.doi.org/10.1049/et.2009.1413.

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28

JADAV, VIPUL. "Network Traffic Management." International Journal for Research in Applied Science and Engineering Technology V, no. IX (September 30, 2017): 1976–80. http://dx.doi.org/10.22214/ijraset.2017.9286.

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29

Arslan, Engin, Murat Yuksel, and Mehmet Hadi Gunes. "Network management game." ACM SIGCOMM Computer Communication Review 43, no. 1 (January 9, 2013): 46–50. http://dx.doi.org/10.1145/2427036.2427045.

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30

Muller, Nathan J. "INTEGRATED NETWORK MANAGEMENT." Information Systems Management 9, no. 4 (January 1992): 8–15. http://dx.doi.org/10.1080/10580539208906893.

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31

Wagner, Richard. "ATM network management." Canadian Journal of Electrical and Computer Engineering 21, no. 3 (July 1996): 99–102. http://dx.doi.org/10.1109/cjece.1996.7101964.

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32

Znaty, Simon, and Jean Sclavos. "Network management viewpoints." ACM SIGCOMM Computer Communication Review 24, no. 3 (July 1994): 63–80. http://dx.doi.org/10.1145/193285.193299.

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33

Harris, Ethan. "OSI Network management." Library Hi Tech 8, no. 4 (April 1990): 105–10. http://dx.doi.org/10.1108/eb047812.

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34

Owen, S. A. "NBBS network management." IBM Systems Journal 34, no. 4 (1995): 725–50. http://dx.doi.org/10.1147/sj.344.0725.

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35

Ojasalo, Jukka. "Key network management." Industrial Marketing Management 33, no. 3 (April 2004): 195–205. http://dx.doi.org/10.1016/j.indmarman.2003.10.009.

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36

Terplan, Kornel. "Network management evolution." Computer Communications 11, no. 5 (October 1988): 267–74. http://dx.doi.org/10.1016/0140-3664(88)90037-0.

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37

Elenbogen, Bruce S. "Computer network management." ACM SIGCSE Bulletin 31, no. 1 (March 1999): 119–21. http://dx.doi.org/10.1145/384266.299713.

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38

Hendriks, J. C. W., M. E. M. Spruit, and M. Looijen. "Network management abroad." International Journal of Network Management 12, no. 5 (2002): 303–16. http://dx.doi.org/10.1002/nem.445.

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39

Epstein, Harvey I., Abhaya Asthana, Stephen A. Corum, and Leen Mak. "Hybrid network management." Bell Labs Technical Journal 5, no. 4 (August 28, 2002): 63–79. http://dx.doi.org/10.1002/bltj.2251.

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40

Suganthi, Nagarajan, Enthrakandi Narasimhan Ganesh, Elangovan Guruva Reddy, Vijayaraman Balakumar, Thangam Ilakkiya, Mageshkumar Naarayanasamy Varadarajan, and Venkatachalam Ramesh Babu. "Enhancing 5G network performance through effective resource management with network slicing." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 4 (August 1, 2024): 4721. http://dx.doi.org/10.11591/ijece.v14i4.pp4721-4731.

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The immense growth of mobile networks leads to versatile applications and new demands. The improved concert, transferability, flexibility, and performance of innovative network services are applied in diversified fields. More unique networking concepts are incorporated into state-of-the-art mobile technologies to expand these dynamic features further. This paper presents a novel system architecture of slicing and pairing networks with intra-layer and inter-layer functionalities in 5th generation (5G) mobile networks. The radio access network layer slices and the core network layer slices are paired up using the network slicing pairing functionalities. The physical network elements of such network slices will be logically assigned entities called softwarization of the network. Such a novel system architecture called network sliced softwarization of 5G mobile networks (NSS-5G) has shown better performances in terms of end-to-end delay, total throughput, and resource utilization when compared to traditional mobile networks. Thus, effective resource management is achieved using NSS-5G. This study will pave the way for future softwarization of heterogeneous mobile applications.

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41

Kabzeva, Aneta, Joachim Götze, and Paul Müller. "Model-Based Relationship Management for Service Networks." International Journal of Systems and Service-Oriented Engineering 5, no. 4 (October 2015): 104–32. http://dx.doi.org/10.4018/ijssoe.2015100105.

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With the broad adoption of service-orientation for the realization of business applications and their provisioning and usage over cloud infrastructures, the topology of the resulting service networks is becoming extremely complex. Due to the composition of services for value-added business capabilities and the reusability of a service in multiple compositions, the execution of one service often depends on other services and changes in its provisioning can affect the health of large parts of the service network. The lack of insight on the relationships between the network components makes the management of the service network's health hard and error prone tasks. This article introduces a service network modeling approach for capturing the topology of a service network at design time. The approach considers the complete modeling process from representation, through collection, to analysis of the relationship information. The major contributions are a generic and adaptable modeling structure, a classification of service network entities and relationships, and a modular management framework automating the modeling process.

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42

Shi, Haoqiang. "Intelligent network management model based on Bayesian network." Applied and Computational Engineering 6, no. 1 (June 14, 2023): 813–19. http://dx.doi.org/10.54254/2755-2721/6/20230931.

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Nowadays, with the vigorous promotion of digital applications, major enterprises have established their own enterprise networks, in which there are many network equipment, communication lines, servers and various applications. To ensure the stable running of the network system, the enterprise establishes a special network management system to monitor the network running status. The network management system can detect all kinds of network faults, such as line interruption, port down, and service application exception alarms. However, the usual network management system can only discover and deal with the faults that have occurred, and lack to predict and judge the equipment or application system that may have problems. This paper discusses the establishment of an intelligent network management model that links the log system and the alarm monitoring system based on the Bayesian network. By collecting and processing the logs of all devices and applications in the network, based on the alarm information, people can calculate the probability of network devices, communication lines, and service applications that may be faulty to predict network faults in advance and improve the security performance of the network system.

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43

Minseok Oh. "Network management agent allocation scheme in mesh networks." IEEE Communications Letters 7, no. 12 (December 2003): 601–3. http://dx.doi.org/10.1109/lcomm.2003.821321.

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44

Robles-Gómez, Antonio, Aurelio Bermúdez, and Rafael Casado. "Efficient network management applied to source routed networks." Parallel Computing 37, no. 3 (March 2011): 137–56. http://dx.doi.org/10.1016/j.parco.2011.01.002.

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45

Yamamura, T., T. Tanahashi, M. Hanaki, and N. Fujii. "TMN-based customer network management for ATM networks." IEEE Communications Magazine 35, no. 10 (1997): 46–52. http://dx.doi.org/10.1109/35.623985.

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46

Leon-Garcia, A., and L. G. Mason. "Virtual network resource management for next-generation networks." IEEE Communications Magazine 41, no. 7 (July 2003): 102–9. http://dx.doi.org/10.1109/mcom.2003.1215646.

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47

Qiu, X., K. Chawla, J. C. I. Chuang, and N. Sollenberger. "Network-assisted resource management for wireless data networks." IEEE Journal on Selected Areas in Communications 19, no. 7 (July 2001): 1222–34. http://dx.doi.org/10.1109/49.932691.

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48

Bashar, Abul, Gerard Parr, Sally McClean, Bryan Scotney, and Detlef Nauck. "Application of Bayesian Networks for Autonomic Network Management." Journal of Network and Systems Management 22, no. 2 (October 20, 2013): 174–207. http://dx.doi.org/10.1007/s10922-013-9289-x.

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49

Boulis, Athanassios, and Sanjay Jha. "Network management in new realms: wireless sensor networks." International Journal of Network Management 15, no. 4 (2005): 219–21. http://dx.doi.org/10.1002/nem.569.

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50

Gagalyuk, T., J. H. Hanf, and M. Hingley. "Firm and whole chain success: network management in the Ukrainian food industry." Journal on Chain and Network Science 13, no. 1 (January 1, 2013): 47–70. http://dx.doi.org/10.3920/jcns2013.x226.

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This article develops the theoretical foundations of supply chain network management in order to investigate the constructs surrounding whole chain success rather than just success at firm level. It is argued that the ‘network success’ link has been under-studied, with most empirical studies focusing on the achievement of goals by an individual firm in a network context. A model of the whole network's success in the context of supply chain networks in food industry supply chain relationships is used. The results identify that network-level goals must be considered alongside firm-level goals in supply chain networks. Furthermore, network-level goals are subject to the impacts of chain management and have to be of particular interest for focal firms that are responsible for the development and implementation of collective strategies.

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