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Journal articles on the topic 'Computer networks; Distributed systems'

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Published: 4 June 2021
Last updated: 1 February 2022

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1

Wittie, L. D. "Computer networks and distributed systems." Computer 24, no. 9 (September 1991): 67–76. http://dx.doi.org/10.1109/2.84901.

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2

Sherif, Yosef S., and Brian J. Matt. "Computer networks and distributed systems." Microelectronics Reliability 28, no. 3 (January 1988): 419–67. http://dx.doi.org/10.1016/0026-2714(88)90398-8.

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3

Jesshope, Chris. "Distributed computer systems." Microprocessors and Microsystems 14, no. 7 (September 1990): 483–84. http://dx.doi.org/10.1016/0141-9331(90)90029-u.

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4

Prabhu, Mukesh M., and S. V. Raghavan. "Security in computer networks and distributed systems." Computer Communications 19, no. 5 (May 1996): 379–88. http://dx.doi.org/10.1016/0140-3664(95)01031-9.

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5

Wilbur, SR. "Distributed systems." Computer Communications 13, no. 4 (May 1990): 250. http://dx.doi.org/10.1016/0140-3664(90)90123-x.

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6

Hsu, W. J. "Gaussian Networks For Scalable Distributed Systems." Computer Journal 39, no. 5 (May 1, 1996): 417–26. http://dx.doi.org/10.1093/comjnl/39.5.417.

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7

Mahmood, A., H. U. Khan, and H. A. Fatmi. "Adaptive file allocation in distributed computer systems." Distributed Systems Engineering 1, no. 6 (December 1994): 354–61. http://dx.doi.org/10.1088/0967-1846/1/6/004.

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8

Wang, Weiguo. "Distributed systems management." Computer Communications 18, no. 3 (March 1995): 223. http://dx.doi.org/10.1016/0140-3664(95)90050-0.

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9

ALTMAN, EITAN, HISAO KAMEDA, and YOSHIHISA HOSOKAWA. "NASH EQUILIBRIA IN LOAD BALANCING IN DISTRIBUTED COMPUTER SYSTEMS." International Game Theory Review 04, no. 02 (June 2002): 91–100. http://dx.doi.org/10.1142/s0219198902000574.

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The use of game theoretical techniques has been quite successful in describing routing in networks, both in road traffic applications as well as in telecommunication networks applications. We study in this paper a third area of applications of such games, which is load balancing in distributed computer systems. One of the most important questions that arise in all applications of routing games is the existence and uniqueness of equilibrium. Whereas the existence of Nash equilibrium is known for general models of networks under weak assumptions, uniqueness results are only known for very special applications, i.e., either for very special cost functions or for very special topologies. We establish in this paper the uniqueness of an equilibrium for routing games with topologies that model well distributed computer systems, under quite general assumptions on the costs.
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10

Rodden, Tom, and Gordon S. Blair. "Distributed systems support for computer supported cooperative work." Computer Communications 15, no. 8 (October 1992): 527–38. http://dx.doi.org/10.1016/0140-3664(92)90032-a.

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11

Pasquale, J. "Using expert systems to manage distributed computer systems." Performance Evaluation 7, no. 3 (August 1987): 260. http://dx.doi.org/10.1016/0166-5316(87)90046-0.

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12

Xiang, Yang, Javier Lopez, Haining Wang, and Wanlei Zhou. "Special Issue: Securing Distributed Networks and Systems." Concurrency and Computation: Practice and Experience 23, no. 12 (March 8, 2011): 1311–12. http://dx.doi.org/10.1002/cpe.1703.

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13

Willebeek-LeMair, Marc H., and Zon-Yin Shae. "Distributed video conferencing systems." Computer Communications 20, no. 3 (May 1997): 157–68. http://dx.doi.org/10.1016/s0140-3664(97)00003-0.

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14

Nett, Edgar. "Towards open distributed systems." Computer Communications 16, no. 5 (May 1993): 266. http://dx.doi.org/10.1016/0140-3664(93)90042-q.

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15

Deng, Robert H. "Distributed systems, second edition." Computer Communications 18, no. 1 (January 1995): 58–59. http://dx.doi.org/10.1016/0140-3664(95)90078-0.

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16

Xiao, Zhifeng, Nandhakumar Kathiresshan, and Yang Xiao. "A survey of accountability in computer networks and distributed systems." Security and Communication Networks 9, no. 4 (June 21, 2012): 290–315. http://dx.doi.org/10.1002/sec.574.

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17

Kim, Dohan. "Task swapping networks in distributed systems." International Journal of Computer Mathematics 90, no. 11 (November 2013): 2221–43. http://dx.doi.org/10.1080/00207160.2013.772985.

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18

Aguilar, Jose, and Juan Vizcarrondo. "Distributed Chronicle for the fault diagnosis in Distributed Systems." International Journal of Communication Networks and Distributed Systems 24, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijcnds.2020.10018751.

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19

Aguilar, Jose, and Juan Vizcarrondo. "Distributed chronicle for the fault diagnosis in distributed systems." International Journal of Communication Networks and Distributed Systems 24, no. 3 (2020): 284. http://dx.doi.org/10.1504/ijcnds.2020.106298.

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20

Wu, Dan, Chi Hong Cheong, and Man Hon Wong. "Distributed snapshots foradhocnetwork systems." International Journal of Parallel, Emergent and Distributed Systems 26, no. 2 (April 2011): 149–64. http://dx.doi.org/10.1080/17445760.2010.491479.

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21

Benford, S., and Ok-Ki Lee. "Collaborative naming in distributed systems." Distributed Systems Engineering 1, no. 2 (December 1993): 67–74. http://dx.doi.org/10.1088/0967-1846/1/2/002.

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22

Blair, Gordon S. "Distributed systems: Concepts and design." Computer Communications 12, no. 4 (August 1989): 240. http://dx.doi.org/10.1016/0140-3664(89)90209-0.

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23

Muftic, Sead, and Morris Sloman. "Security architecture for distributed systems." Computer Communications 17, no. 7 (July 1994): 492–500. http://dx.doi.org/10.1016/0140-3664(94)90104-x.

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24

Ananda, AL, and GS Poo. "Distributed systems: Concepts and design." Computer Communications 18, no. 7 (July 1995): 521–22. http://dx.doi.org/10.1016/0140-3664(95)90005-5.

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25

De Prisco, Roberto, and Sergio Rajsbaum. "Algorithmic problems in distributed systems." Computer Networks 50, no. 10 (July 2006): 1581–82. http://dx.doi.org/10.1016/j.comnet.2005.09.023.

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26

Morris, D., and D. G. Evans. "Modelling distributed and parallel computer systems." Parallel Computing 18, no. 7 (July 1992): 793–806. http://dx.doi.org/10.1016/0167-8191(92)90045-9.

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27

Tiwari, Prasoon. "Lower bounds on communication complexity in distributed computer networks." Journal of the ACM 34, no. 4 (October 1987): 921–38. http://dx.doi.org/10.1145/31846.32978.

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28

ANCEAUME, EMMANUELLE, FRANCISCO BRASILEIRO, ROMARIC LUDINARD, BRUNO SERICOLA, and FRÉDÉRIC TRONEL. "DEPENDABILITY EVALUATION OF CLUSTER-BASED DISTRIBUTED SYSTEMS." International Journal of Foundations of Computer Science 22, no. 05 (August 2011): 1123–42. http://dx.doi.org/10.1142/s0129054111008593.

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Awerbuch and Scheideler have shown that peer-to-peer overlay networks can survive Byzantine attacks only if malicious nodes are not able to predict what will be the topology of the network for a given sequence of join and leave operations. In this paper we investigate adversarial strategies by following specific protocols. Our analysis demonstrates first that an adversary can very quickly subvert overlays based on distributed hash tables by simply never triggering leave operations. We then show that when all nodes (honest and malicious ones) are imposed on a limited lifetime, the system eventually reaches a stationary regime where the ratio of polluted clusters is bounded, independently from the initial amount of corruption in the system.
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29

Ganzha, Maria, and Marcin Paprzycki. "Agent-oriented computing for distributed systems and networks." Journal of Network and Computer Applications 37 (January 2014): 45–46. http://dx.doi.org/10.1016/j.jnca.2013.03.011.

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30

Souček, Pavel, Oldřich Slavata, and Jan Holub. "Innovation of laboratory exercises in course Distributed systems and computer networks." Journal of Physics: Conference Series 459 (September 6, 2013): 012012. http://dx.doi.org/10.1088/1742-6596/459/1/012012.

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31

Sherman and Marks. "Using Low-Cost Workstations to Investigate Computer Networks and Distributed Systems." Computer 19, no. 6 (June 1986): 32–41. http://dx.doi.org/10.1109/mc.1986.1663250.

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32

JARKE, MATTHIAS, and CLARENCE A. ELLIS. "DISTRIBUTED COOPERATION IN INTEGRATED INFORMATION SYSTEMS." International Journal of Cooperative Information Systems 02, no. 01 (March 1993): 85–103. http://dx.doi.org/10.1142/s0218215793000058.

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Cooperation is the organizational motivation behind computer networks. In these networks, information systems progress from their traditional file cabinet role to become advanced communications media that enable cooperation across boundaries of space and time. The Third ICIS Workshop, held at Dagstuhl Castle, Germany, in April 1992 addressed the question: what does this observation entail for computer science research, practice, and education? Research implications. Cooperation technology provides interfaces between people rather than between humans and machines. The simplistic distinctions of CSCW research in the 1980’s (synchronous vs. asynchronous, local vs. distributed, message passing vs. information sharing) detract from the central goal that coordination should not get in the way of human interaction. On the one hand, CSCW operates in a coherent organizational and technological framework. Real-time group interfaces must be embedded in process-oriented repositories for long-term cooperation; change management is the crucial research issue. On the other hand, CSCW must be enriched with domain information. Studies of the usage and organizational embedding of information technology cannot be delegated to the social sciences alone because they do not have the answers either. Business implications. “Killer applications” that prove the value of CSCW beyond electronic mail and videoconferencing have yet to emerge. One suggestion is to develop theory and product ideas in the context of actual applications through direct links between researchers and users. A more vendor-oriented approach focuses on developing core technology on which application-specific services can be delivered. This latter infrastructure market, though important, is obviously much smaller; it is the services that pay back the investments. Educational implications. Curricula do not adequately reflect the changing role of computer scientists in the workplace. This is even now endangering the traditionally good position of computer science graduates on the labor market. In accordance with the market shares above, there must be a stronger component of application experience and students must be explicitly taught to work in interdisciplinary teams. Since curricula are already very full, this implies that some traditional areas of computer science may have to be reduced — a painful but necessary process.
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33

Mullender, Sape J. "Distributed multimedia systems." Future Generation Computer Systems 8, no. 1-3 (July 1992): 243–47. http://dx.doi.org/10.1016/0167-739x(92)90043-b.

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34

Ray, A., and S. Phoha. "Research Directions in Computer Networking for Manufacturing Systems." Journal of Engineering for Industry 111, no. 2 (May 1, 1989): 109–15. http://dx.doi.org/10.1115/1.3188739.

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This paper identifies and discusses pertinent research problems in the design and development of communication networks for Computer-Integrated Manufacturing (CIM). The conclusions and recommendations presented here are largely the outcome of the workshop on Computer Networking for Manufacturing Systems [1]. The workshop was conducted in November 1987 under the sponsorship of the division of Design, Manufacturing and Computer Engineering of National Science Foundation. Both basic and applied research in computer networking for integration of all manufacturing-related functions is recommended in three general areas of efficient networking architectures, accommodation of equipment and environmental heterogeneity, and distributed network management and control.
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35

Trueman, Peter. "Security for distributed systems." Data Processing 28, no. 4 (May 1986): 187–90. http://dx.doi.org/10.1016/0011-684x(86)90359-x.

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36

Tian, Y., D. Wu, and K. W. Ng. "On Distributed Rating Systems for Peer-to-Peer Networks." Computer Journal 51, no. 2 (August 29, 2007): 162–80. http://dx.doi.org/10.1093/comjnl/bxm045.

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37

Nasiri, Ali Akbar, Farnaz Derakhshan, and Shahram Shah Heydari. "Distributed Virtual Network Embedding for Software-Defined Networks Using Multiagent Systems." IEEE Access 9 (2021): 12027–43. http://dx.doi.org/10.1109/access.2021.3050922.

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38

Godfrey, P. Brighten, Scott Shenker, and Ion Stoica. "Minimizing churn in distributed systems." ACM SIGCOMM Computer Communication Review 36, no. 4 (August 11, 2006): 147–58. http://dx.doi.org/10.1145/1151659.1159931.

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39

Meandzija, Branislav. "International workshop on distributed systems." ACM SIGCOMM Computer Communication Review 21, no. 1 (January 2, 1991): 14–23. http://dx.doi.org/10.1145/116030.116031.

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40

Han, Jungsoo. "Distributed hybrid P2P networking systems." Peer-to-Peer Networking and Applications 8, no. 4 (June 20, 2014): 555–56. http://dx.doi.org/10.1007/s12083-014-0298-7.

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41

Le Lann, Gérard. "Designing real-time dependable distributed systems." Computer Communications 15, no. 4 (May 1992): 225–34. http://dx.doi.org/10.1016/0140-3664(92)90105-n.

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42

Stocks, Phil, Kerry Raymond, David Carrington, and Andrew Lister. "Modelling open distributed systems in Z." Computer Communications 15, no. 2 (March 1992): 103–13. http://dx.doi.org/10.1016/0140-3664(92)90130-7.

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43

Gaïti, Dominique. "Introducing intelligence in distributed systems management." Computer Communications 17, no. 10 (October 1994): 729–38. http://dx.doi.org/10.1016/0140-3664(94)90041-8.

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44

Cooling, JE. "Survivable LANs for distributed control systems." Computer Communications 17, no. 5 (May 1994): 317–31. http://dx.doi.org/10.1016/0140-3664(94)90046-9.

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45

Schill, A. "Advanced networking and distributed systems treatise." Computer Communications 17, no. 5 (May 1994): 379–80. http://dx.doi.org/10.1016/0140-3664(94)90055-8.

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46

Bar-Ness, Yeheskel, Petar Popovski, Osvaldo Simeone, and Umberto Spagnolini. "Distributed processing for wireless networks." Journal of Communications and Networks 11, no. 4 (August 2009): 323–26. http://dx.doi.org/10.1109/jcn.2009.6391345.

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47

Zhao, Xia, Tao Wang, Enjie Liu, and Gordon J. Clapworthy. "Web Services in Distributed Information Systems." International Journal of Distributed Systems and Technologies 1, no. 1 (January 2010): 1–16. http://dx.doi.org/10.4018/jdst.2010090801.

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Distributed information systems are growing rapidly in response to the improvement of computer hardware and software and this is matched by the evolution of the technologies involved. This article focuses mainly on Web Services technology and discusses related technical issues including availability, performance and composition. It also introduces Grid, agents and Semantic Web technologies that can work together with Web Services to serve different business goals.
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48

Mahul, Antoine, and Alex Aussem. "Distributed Neural Networks for Quality of Service Estimation in Communication Networks." International Journal of Computational Intelligence and Applications 03, no. 03 (September 2003): 297–308. http://dx.doi.org/10.1142/s1469026803000999.

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We study an original scheme based on distributed feedforward neural networks, aimed at modelling several queueing systems in cascade fed with bursty traffic. For each queueing system, a neural network is trained to anticipate the average number of waiting packets, the packet loss rate and the coefficient of variation of the packet inter-departure time, given the mean rate, the peak rate and the coefficient of variation of the packet inter-arrival time. The latter serves for the calculation of the coefficient of variation of the cell inter-arrival time of the aggregated traffic which is fed as input to the next neural network along the path. The potential of this method is successfully illustrated on several single server FIFO (First In, First Out) queues and on small queueing networks made up from a combination of queues in tandem and in parallel fed by a superposition of ideal sources. Our long-term goal is the design of preventive control strategy in a multiservice communication network.
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49

Kim, Min-Sung, Raza Haider, Gyu-Jung Cho, Chul-Hwan Kim, Chung-Yuen Won, and Jong-Seo Chai. "Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems." Energies 12, no. 5 (March 4, 2019): 837. http://dx.doi.org/10.3390/en12050837.

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The increased penetration of distributed generation (DG), renewable energy utilization, and the introduction of the microgrid concept have changed the shape of conventional electric power networks. Most of the new power system networks are transforming into the DG model integrated with renewable and non-renewable energy resources by forming a microgrid. Islanding detection in DG systems is a challenging issue that causes several protection and safety problems. A microgrid operates in the grid-connected or stand-alone mode. In the grid-connected mode, the main utility network is responsible for a smooth operation in coordination with the protection and control units, while in the stand-alone mode, the microgrid operates as an independent power island that is electrically separated from the main utility network. Fast islanding detection is, therefore, necessary for efficient and reliable microgrid operations. Many islanding detection methods (IdMs) are proposed in the literature, and each of them claims better reliability and high accuracy. This study describes a comprehensive review of various IdMs in terms of their merits, viability, effectiveness, and feasibility. The IdMs are extensively analysed by providing a fair comparison from different aspects. Moreover, a fair analysis of a feasible and economical solution in view of the recent research trend is presented.
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50

Bitam, Melha, and Hassane Alla. "Performance evaluation of communication networks for distributed systems." International Journal of Computer Applications in Technology 25, no. 4 (2006): 218. http://dx.doi.org/10.1504/ijcat.2006.009395.

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