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Journal articles on the topic 'Distributed systems'

To see the other types of publications on this topic, follow the link: Distributed systems.

Author: Grafiati

Published: 4 June 2021

Last updated: 7 July 2024

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1

Bhagwath, S. G., and Dr Mallikarjun Math. "Distributed Systems and Recent Innovations: Challenges Benefits and Security Issues in Distributed Systems." Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (October 31, 2016): 37–42. http://dx.doi.org/10.9756/bijsesc.8239.

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2

Gottinger, Hans W. "Internet Economics of Distributed Systems." Archives of Business Research 3, no. 1 (February 25, 2015): 36–52. http://dx.doi.org/10.14738/abr.31.715.

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3

Kleinrock. "Distributed Systems." Computer 18, no. 11 (November 1985): 90–103. http://dx.doi.org/10.1109/mc.1985.1662747.

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4

Kleinrock, Leonard. "Distributed systems." Communications of the ACM 28, no. 11 (November 1985): 1200–1213. http://dx.doi.org/10.1145/4547.4552.

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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

Vajda, Ferenc. "Distributed systems." Microprocessing and Microprogramming 18, no. 1-5 (December 1986): 453–54. http://dx.doi.org/10.1016/0165-6074(86)90077-3.

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7

Pratt, SJ. "Distributed systems." Information and Software Technology 33, no. 4 (May 1991): 302. http://dx.doi.org/10.1016/0950-5849(91)90158-8.

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8

ME, E. Sankaran. "Distributed Control Systems in Food Processing." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (December 31, 2018): 27–30. http://dx.doi.org/10.31142/ijtsrd18921.

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9

Samoylenko, H. T., and A. V. Selivanova. "Distributed information systems in e-commerce." Mathematical machines and systems 2 (2023): 69–74. http://dx.doi.org/10.34121/1028-9763-2023-2-69-74.

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The article discusses the basic requirements for electronic commerce information systems that support business. The features of the modular design of electronic trade information systems are characterized and the advantages and disadvantages of independently developed information-but-computational resources are determined. The expediency of using distributed information systems for electronic trade tasks is justified. The concept of distributed information systems involves the use of various technologies and protocols to ensure the availability, reliability, and scalability of the system. The architecture of a distributed information system involves the creation of a system with distributed components that interact using standard interfaces and use various technologies for communications. The prospects for the use of distributed information systems are determined and the advantages of using a distributed architecture are analyzed. The article studies the stages of building the architecture of a distributed information system and defines its main components. The architecture of distributed systems can consist of such components as database servers, web servers, applications, security tools, and network equipment, and may vary depending on the specific system and its needs. The types of architectures of distributed information systems and the specifics and features of their application are determined. The article discusses microservices-oriented architecture (Microservices-Oriented Architecture, MOSA), the basic idea of which is that software is divided into small, autonomous microservices that interact with each other using APIs. The use of MOSA for electronic trade information systems allows for increasing the speed of development and implementation of additional functions and ensures scalability and resistance to failures.

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10

Kindler, Ekkart, and Sibylle Peuker. "Integrating Distributed Algorithms into Distributed Systems." Fundamenta Informaticae 37, no. 3 (1999): 291–309. http://dx.doi.org/10.3233/fi-1999-37306.

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11

Doeppner, Thomas W. "Distributed file systems and distributed memory." ACM Computing Surveys 28, no. 1 (March 1996): 229–31. http://dx.doi.org/10.1145/234313.234409.

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12

Reed, Morton W. "Distributed simulation using distributed control systems." ACM SIGSIM Simulation Digest 20, no. 4 (April 1990): 143–51. http://dx.doi.org/10.1145/99637.99656.

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13

St-Denis, Richard. "Expert systems for distributed systems." Interfaces in Computing 3, no. 3-4 (September 1985): 217–25. http://dx.doi.org/10.1016/0252-7308(85)90005-4.

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14

Baideme, Matthew, Adam Brady, and Cristian Robbins. "Distributed Treatment Systems." Water Environment Research 85, no. 10 (October 1, 2013): 1339–53. http://dx.doi.org/10.2175/106143013x13698672322264.

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15

Baideme, Matthew, Matty Haith, Robert Nahabedian, and Kimberly Quell. "Distributed Treatment Systems." Water Environment Research 86, no. 10 (October 1, 2014): 1332–53. http://dx.doi.org/10.2175/106143014x14031280667859.

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16

Zgonc, David, and Matthew Baideme. "Distributed Treatment Systems." Water Environment Research 87, no. 10 (October 1, 2015): 1196–207. http://dx.doi.org/10.2175/106143015x14338845155624.

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17

Zgonc, David, and Luke Plante. "Distributed Treatment Systems." Water Environment Research 89, no. 10 (October 1, 2017): 1315–24. http://dx.doi.org/10.2175/106143017x15023776270331.

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18

ITO, Masami, and Hideo YUASA. "Autonomous Distributed Systems." Journal of the Robotics Society of Japan 10, no. 4 (1992): 464–67. http://dx.doi.org/10.7210/jrsj.10.464.

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19

Beschastnikh, Ivan, Patty Wang, Yuriy Brun, and Michael D. Ernst. "Debugging distributed systems." Communications of the ACM 59, no. 8 (July 22, 2016): 32–37. http://dx.doi.org/10.1145/2909480.

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20

Veitch, James, and Robert Laddaga. "Distributed dynamic systems." Communications of the ACM 41, no. 5 (May 1998): 34–36. http://dx.doi.org/10.1145/274946.274953.

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21

Li, V. O. K., and Wanjiun Liao. "Distributed multimedia systems." Proceedings of the IEEE 85, no. 7 (July 1997): 1063–108. http://dx.doi.org/10.1109/5.611116.

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22

Herbert, A. "Editorial: Distributed Systems." Computer Journal 34, no. 6 (December 1, 1991): 481. http://dx.doi.org/10.1093/comjnl/34.6.481.

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23

Mullender, Sape J. "Distributed operating systems." ACM Computing Surveys 28, no. 1 (March 1996): 225–27. http://dx.doi.org/10.1145/234313.234407.

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24

Beschastnikh, Ivan, Patty Wang, Yuriy Brun, and Michael D, Ernst. "Debugging Distributed Systems." Queue 14, no. 2 (March 2016): 91–110. http://dx.doi.org/10.1145/2927299.2940294.

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25

Vinoski, Steve. "Rediscovering Distributed Systems." IEEE Internet Computing 18, no. 2 (March 2014): 3–6. http://dx.doi.org/10.1109/mic.2014.31.

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26

Pauly, Thomas. "Distributed control systems." Electronics and Power 33, no. 9 (1987): 573. http://dx.doi.org/10.1049/ep.1987.0351.

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27

Ridge, Thomas. "Verifying distributed systems." ACM SIGPLAN Notices 44, no. 1 (January 21, 2009): 429–40. http://dx.doi.org/10.1145/1594834.1480934.

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28

Grimaldi, Domenico, and Mihail Marinov. "Distributed measurement systems." Measurement 30, no. 4 (December 2001): 279–87. http://dx.doi.org/10.1016/s0263-2241(01)00019-7.

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29

Majumdar, Shikharesh, and Azzedine Boukerche. "Distributed systems performance." Performance Evaluation 58, no. 2-3 (November 2004): 87–88. http://dx.doi.org/10.1016/j.peva.2004.08.003.

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30

Weston, R. H., C. M. Sumpter, and J. D. Gascoigne. "Distributed manufacturing systems." Robotica 4, no. 1 (January 1986): 15–26. http://dx.doi.org/10.1017/s0263574700002435.

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SUMMARYIn the context of computer-integrated manufacture (CIM), the paper describes the need for flexible “intelligent” machinery and the need for integrated and distributed software. Methodologies in obtaining appropriate solutions are discussed and related to two major SERC sponsored research programmes at Loughborough University, which concern (i) the design of a family of mechanical and control system modules to allow robots to be configured with user defined kinematic and dynamic properties, and (ii) the design of distributed hardware and software structures, based on internationally accepted communication protocols, to allow FAS's to be produced.In batch manufacture today's increased demand for product variety, requiring reduced lead times and work in progress, the need arises for computer-integrated manufacture (CIM). Similarly, in many conventional continuous flow manufacturing processes dramatic improvements in plant efficiency can be achieved by linking shop floor computer systems with computers performing management and design functions.Considerable research and development work has centred on flexible manufacturing systems (FMSs)3−1 which conventionally relate to metal cutting environments. Similarly the labour intensive nature of assembly operations has led to considerable interest in the design of flexible assembly systems.3.4 The principles embodied in FMS and FAS are translatable, being applicable to most manufacturing environments.To achieve flexible integrated manufacturing two major requirements can be identified, viz. (i) the need for flexible “intelligent” machinery, and (ii) the need for integrated but distributed software systems. This paper will consider future trends in (i) and (ii).

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31

Gramoli, Vincent, Ymir Vigfusson, Ken Birman, Anne-Marie Kermarrec, and Robbert van Renesse. "Slicing Distributed Systems." IEEE Transactions on Computers 58, no. 11 (November 2009): 1444–55. http://dx.doi.org/10.1109/tc.2009.111.

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32

Karatza, Helen D., and Georgios K. Theodoropoulos. "Distributed Systems Simulation." Simulation Modelling Practice and Theory 14, no. 6 (August 2006): 677–78. http://dx.doi.org/10.1016/j.simpat.2005.10.001.

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33

Mansouri-Samani, M., and M. Sloman. "Monitoring distributed systems." IEEE Network 7, no. 6 (November 1993): 20–30. http://dx.doi.org/10.1109/65.244791.

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34

Angrisani, G., C. Roselli, and M. Sasso. "Distributed microtrigeneration systems." Progress in Energy and Combustion Science 38, no. 4 (August 2012): 502–21. http://dx.doi.org/10.1016/j.pecs.2012.02.001.

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35

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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36

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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37

Mullender, Sape J. "Distributed operating systems." Computer Standards & Interfaces 6, no. 1 (January 1987): 37–44. http://dx.doi.org/10.1016/0920-5489(87)90043-2.

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38

Sherman, Robin L. "Distributed systems security." Computers & Security 11, no. 1 (March 1992): 24–28. http://dx.doi.org/10.1016/0167-4048(92)90216-e.

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39

El Jai, A., and K. Kassara. "Spreadable distributed systems." Mathematical and Computer Modelling 20, no. 1 (July 1994): 47–64. http://dx.doi.org/10.1016/0895-7177(94)90218-6.

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40

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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41

Board, Raymond. "Distributed Database Systems." IASSIST Quarterly 16, no. 3 (January 31, 1993): 4. http://dx.doi.org/10.29173/iq59.

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42

Tanenbaum, Andrew S., and Robbert Van Renesse. "Distributed operating systems." ACM Computing Surveys 17, no. 4 (December 10, 1985): 419–70. http://dx.doi.org/10.1145/6041.6074.

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43

Joyce, Jeffrey, Greg Lomow, Konrad Slind, and Brian Unger. "Monitoring distributed systems." ACM Transactions on Computer Systems 5, no. 2 (March 1987): 121–50. http://dx.doi.org/10.1145/13677.22723.

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44

Garvey, M. "Distributed database systems." Information and Software Technology 35, no. 11-12 (November 1993): 704. http://dx.doi.org/10.1016/0950-5849(93)90095-k.

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45

Sheehan, Nathaniel P., Luke Plante, Kyle Murray, Peter Bier, Erick Martinez, Charles Ouellette, and Kimberly Quell. "Distributed treatment systems." Water Environment Research 91, no. 10 (September 13, 2019): 1205–9. http://dx.doi.org/10.1002/wer.1215.

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46

Ng, Andrew J., Nathaniel P. Sheehan, Erick Martinez, Kyle Murray, Caleb McCollum, Tim Flagg, John Boyle, and Peter Bier. "Distributed treatment systems." Water Environment Research 92, no. 10 (July 19, 2020): 1418–24. http://dx.doi.org/10.1002/wer.1379.

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47

Banks, H. T., and K. L. Rehm. "PARAMETER ESTIMATION IN DISTRIBUTED SYSTEMS: OPTIMAL DESIGN." Eurasian Journal of Mathematical and Computer Applications 2, no. 1 (2014): 70–80. http://dx.doi.org/10.32523/2306-3172-2014-2-1-70-80.

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48

Korablin, Y. P., and A. A. Shipov. "Questions of verification in distributed software systems." Contemporary problems of social work 1, no. 2 (June 30, 2015): 102–6. http://dx.doi.org/10.17922/2412-5466-2015-1-2-102-106.

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49

Sapaty, P. S. "Spatial grasp model for dynamic distributed systems." Mathematical machines and systems 3 (2021): 3–21. http://dx.doi.org/10.34121/1028-9763-2021-3-21.

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More complex distributed and intelligent systems which relate to economy, ecology, communi-cations, security and defense, and cover both terrestrial and celestial environments are being developed. Their efficient management, especially in dynamic and unpredictable situations, needs serious investigations and development in scientific and technological areas. Their tradi-tional representations as parts operating by certain algorithms and exchanging messages are be-coming inadequate as such systems need much stronger integration to operate as holistic organ-isms pursuing global and often varying goals. This paper is focused on a completely different paradigm for organization and management of large dynamic and distributed systems. This par-adigm extends and transforms the notion of an algorithm for the description of knowledge pro-cessing logic. Moreover, it allows it to exist, propagate and operate as an integral whole in any distributed spaces which may constantly change their volumes and structures. Taking into con-sideration some organizational features related to dangerous viruses, as well as recent pandem-ics, this ubiquitous Spatial Grasp (SG) model is presented in the paper at philosophical and im-plementation levels, together with the introduction of special spatial charts for its exhibition and studies, which extend traditional algorithmic flowcharts towards working directly in dis-tributed spaces. Utilization of this model for the creation of resultant Spatial Grasp Technology and its basic Spatial Grasp Language, already described in details in numerous publications, is briefed as well. Elementary examples of dealing with distributed networks, collective human-robotic behavior, removal of space debris by a constellation of cleaning satellites and simulat-ing the spread of virus and vaccination against it explain SG advantages over traditional system organizations.

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50

Sapaty, P. S. "Managing distributed systems with spatial grasp patterns." Mathematical machines and systems 4 (2023): 11–25. http://dx.doi.org/10.34121/1028-9763-2023-4-11-25.

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The pattern is everything around us. It can represent the world’s regularity, a human-made design, a model, plan, diagram, a standard way of modeling, acting and thinking, a distinctive style or form, a combination of qualities and tendencies, etc. That is why the theory, research, and practical works on patterns are so important for different scientific and technological fields, having also stimulated the preparation and writing of the current paper. The paper reviews existing works on patterns, grouping them by different categories, and briefs the developed Spatial Grasp Model and Technology (SGT) and its Spatial Grasp Language (SGL) with the distributed networked implementation, which provide effective distributed solutions in systems management, control, and simulation by active self-spreading patterns. The article shows how practical patterns can be expressed in SGL, including regular patterns, patterns of concrete objects, and different pattern-based management solutions like coordinating transport columns, finding distributed zone coordinates, and spatial tracking of mobile objects. It also gives network examples of distributed pattern recognition and matching with the use of self-propagating active network templates reflecting images to be found. The paper provides a classified summary of the investigated use of SGL for pattern operations in different areas, which includes descriptive patterns, creative patterns, patterns as spatial processes, pattern recognition, self-matching patterns, combined patterns, cooperating and conflicting patterns, psychological patterns, and recursive patterns. The work concludes with the belief that SGL can be used as a real, very effective, and compact language for pattern representation and operations, and SGT should contribute to the pattern theory and resultant technologies.

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