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Thematische Bibliographien / Distributed systemes / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Distributed systemes“

Autor: Grafiati

Veröffentlicht am 25. Mai 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 (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 (2015): 36–52. http://dx.doi.org/10.14738/abr.31.715.

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3

MILEWSKI, Jaroslaw, and Krzysztof BADYDA. "E108 TRI-GENERATION SYSTEMS BASED ON HIGHTEMPERATURE FUEL CELLS(Distributed Energy System-2)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.1 (2009): _1–275_—_1–279_. http://dx.doi.org/10.1299/jsmeicope.2009.1._1-275_.

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4

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

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5

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

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6

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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7

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

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8

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

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9

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

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10

Moreno Navarro, I., E. Martín Candelario, and M. Álvarez Alonso. "Métodos de control en sistemas domóticos: últimas tendencias en sistemas distribuidos." Informes de la Construcción 50, no. 459 (1999): 43–53. http://dx.doi.org/10.3989/ic.1999.v50.i459.830.

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11

Khaleel, Ashik. "A Review on Distributed Management Systems Using Blockchain." International Journal of Psychosocial Rehabilitation 24, no. 1 (2020): 1599–604. http://dx.doi.org/10.37200/ijpr/v24i1/pr200259.

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12

Savenko, Oleg, Anatoliy Sachenko, Sergii Lysenko, George Markowsky, and Nadiia Vasylkiv. "BOTNET DETECTION APPROACH BASED ON THE DISTRIBUTED SYSTEMS." International Journal of Computing 19, no. 2 (2020): 190–98. http://dx.doi.org/10.31891/1727-6209/2020/19/2-190-198.

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13

Berger, Τ., P. Bort, and D. John. "Verteilte Systeme im Kraftfahrzeug / Distributed Systems in Vehicles." itit 41, no. 5 (1999): 7–11. http://dx.doi.org/10.1524/itit.1999.41.5.7.

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14

ISHIDA, Takeshi. "E203 EVALUATTED MODEL OF THE DISTRIBUTED ENERGY NETWORK SYSTEM OF AN URBAN DISTRICT(Distributed Energy System-3)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.2 (2009): _2–377_—_2–382_. http://dx.doi.org/10.1299/jsmeicope.2009.2._2-377_.

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15

Li Jiangyong, 李江勇, 王淼妍 Wang Miaoyan та 贲畅 Ben Chang. "分布式光电系统性能评估". Laser & Optoelectronics Progress 58, № 18 (2021): 1811026. http://dx.doi.org/10.3788/lop202158.1811026.

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16

M, Dhinakaran, Sivapriya S, Thirugnanasoundari K, and Vanmathi V. "Distributed System in Mobile Agent Communication." SIJ Transactions on Computer Networks & Communication Engineering 05, no. 05 (2017): 05–09. http://dx.doi.org/10.9756/sijcnce/v5i5/05010150101.

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17

Kojima, Hiroshi, Tohru Katsuno, Yosuke Nakanishi, Yoshikazu Fukuyama, Hideki Matsuda, and Yasuhisa Kanazawa. "E202 AN INTRODUCTION EFFECT EVALUATION TOOL FOR DISTRIBUTED GENERATORS(Distributed Energy System-3)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.2 (2009): _2–371_—_2–376_. http://dx.doi.org/10.1299/jsmeicope.2009.2._2-371_.

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18

Morita, Hikaru, Yoshinori Hisazumi, Yoshimichi Kiuchi, and Hideki Yamaguchi. "E109 A Cogeneration System for an Apartment Building Based on Distributed Heat Storage Technology(Distributed Energy System-2)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.1 (2009): _1–281_—_1–286_. http://dx.doi.org/10.1299/jsmeicope.2009.1._1-281_.

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19

Gurevich, Pavel, and Sergey Tikhomirov. "Systems of reaction-diffusion equations with spatially distributed hysteresis." Mathematica Bohemica 139, no. 2 (2014): 239–57. http://dx.doi.org/10.21136/mb.2014.143852.

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20

Banerjee, Dyuti, and Praveen Kumar. "Analysis of Snapshot Protocols for Distributed and Mobile Systems." Scientific Journal of India 2, no. 1 (2017): 29–33. http://dx.doi.org/10.21276/24565644/2017.v2.i1.12.

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21

Joy T, Thushara, and Sruthy Manmadhan. "Reallocation of Load in Nodes of Distributed File Systems." International Journal of Scientific Research 3, no. 5 (2012): 274–75. http://dx.doi.org/10.15373/22778179/may2014/84.

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22

Zakarya, Muhammad, Izaz Ur Rahman, and Imtiaz Ullah. "An Overview of File Server Group in Distributed Systems." International Journal of Engineering and Technology 4, no. 6 (2012): 730–33. http://dx.doi.org/10.7763/ijet.2012.v4.473.

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23

Rani, P. Sobha, Dr A. Lakshmi Devi, and K. Murali K.Murali. "Loss Minimization in Distribution Systems Using Multi Distributed Generation." Indian Journal of Applied Research 3, no. 11 (2011): 173–75. http://dx.doi.org/10.15373/2249555x/nov2013/58.

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24

Karabut, N. O., O. H. Rybalchenko та I. O. Dotsenko. "Технологія захисту даних, що обробляються у розподілених інформаційних системах". Jornal of Kryvyi Rih National University, № 53 (2022): 112–18. http://dx.doi.org/10.31721/2306-5451-2022-1-53-112-118.

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25

Kostenko, Ganna, and Artur Zaporozhets. "Enhancing of the power system resilience through the application of micro power systems (microgrid) with renewable distributed generation." System Research in Energy 2023, no. 3 (2023): 25–38. http://dx.doi.org/10.15407/srenergy2023.03.025.

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The power sector plays a critical role in the functioning of the economy and the security of a country, being closely interconnected with other vital infrastructures, such as gas supply, water supply, transportation, and telecommunications. Ensuring a stable power supply is crucial for the uninterrupted operation of these systems. One way to enhance the resilience of the power system is by integrating local networks with distributed renewable generation into the overall energy infrastructure. The flexibility, stability, controllability, and self-healing capabilities of microgrids make them an

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26

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

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27

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

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28

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

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29

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

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30

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

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31

Gomes, L., and A. Steiger-Garção. "Sistema distribuido para monitorización y control integrado de edificios." Informes de la Construcción 50, no. 459 (1999): 35–42. http://dx.doi.org/10.3989/ic.1999.v50.i459.829.

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32

K., Arul Jothy, Sivakumar K., and Delsey M.J. "Distributed System Framework for Mobile Cloud Computing." Bonfring International Journal of Research in Communication Engineering 8, no. 1 (2018): 05–09. http://dx.doi.org/10.9756/bijrce.8357.

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33

Paul Rajan, R. Arokia. "Service Request Scheduling based on Quantification Principle using Conjoint Analysis and Z-score in Cloud." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 2 (2018): 1238. http://dx.doi.org/10.11591/ijece.v8i2.pp1238-1246.

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Service request scheduling has a major impact on the performance of the service processing design in a large-scale distributed computing environment like cloud systems. It is desirable to have a service request scheduling principle that evenly distributes the workload among the servers, according to their capacities. The capacities of the servers are termed high or low relative to one another. Therefore, there is a need to quantify the server capacity to overcome this subjective assessment. Subsequently, a method to split and distribute the service requests based on this quantified server capa

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34

T.V., Rohini. "Adaptive Dynamic Data Replication with Load-balancing in Distributed Systems." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (2020): 1034–43. http://dx.doi.org/10.5373/jardcs/v12sp3/20201349.

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35

Sapaty, P. S. "Development of space-based distributed systems under spatial grasp technology." Mathematical machines and systems 4 (2021): 3–14. http://dx.doi.org/10.34121/1028-9763-2021-4-3-14.

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Many governmental agencies and private companies of different countries are now rushing into space around Earth in the hope to provide smart communication, industrial, security and defense solutions. This often involves massive launches of small cheap satellites which are also contributing to the growth of space debris. The current paper discusses how the developed high-level system philosophy and model can effectively organize distributed space-based systems on different stages of their development and growth. The briefed Spatial Grasp Technology, based on parallel pattern-matching of distrib

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36

Nirmala, M. S. "HBA: Distributed Metadata Management for Large Cluster-Based Storage Systems." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 1966–71. http://dx.doi.org/10.31142/ijtsrd18211.

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37

Roatti, Howard. "Project Oriented Learning: Uma Aplicação à Disciplina de Sistemas Distribuídos." Revista Científica Faesa 14, no. 1 (2018): 107–14. http://dx.doi.org/10.5008/1809.7367.133.

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38

Alaşahan, Yusuf, and Salih Tosun. "DAĞITILMIŞ SERİ REAKTÖRLERİN(DSR) GÜÇ SİSTEMLERİNE ETKİLERİ." e-Journal of New World Sciences Academy 15, no. 4 (2020): 50–63. http://dx.doi.org/10.12739/nwsa.2020.15.4.2a0184.

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Distributed Flexible Alternating Current Transmission System (DFACTS) devices are devices that are connected in series to the transmission line and even adding reactance. Devices, also referred to as Distributed Serial Reactors (DSR), have the ability correct impedance imbalance by interfering with line parameters in the power system. In addition, voltage balancing as a result of balanced load flow enables more power transmission or more efficient use of the power system's transmission capability. For this reason, the use of the system to control its loadability without expanding its dimension

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39

Naz, Najia, Abdul Haseeb Malik, Abu Bakar Khurshid, et al. "Efficient Processing of Image Processing Applications on CPU/GPU." Mathematical Problems in Engineering 2020 (October 10, 2020): 1–14. http://dx.doi.org/10.1155/2020/4839876.

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Heterogeneous systems have gained popularity due to the rapid growth in data and the need for processing this big data to extract useful information. In recent years, many healthcare applications have been developed which use machine learning algorithms to perform tasks such as image classification, object detection, image segmentation, and instance segmentation. The increasing amount of big visual data requires images to be processed efficiently. It is common that we use heterogeneous systems for such type of applications, as processing a huge number of images on a single PC may take months o

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40

Daghistani, Anas, Walid G. Aref, Arif Ghafoor, and Ahmed R. Mahmood. "SWARM: Adaptive Load Balancing in Distributed Streaming Systems for Big Spatial Data." ACM Transactions on Spatial Algorithms and Systems 7, no. 3 (2021): 1–43. http://dx.doi.org/10.1145/3460013.

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The proliferation of GPS-enabled devices has led to the development of numerous location-based services. These services need to process massive amounts of streamed spatial data in real-time. The current scale of spatial data cannot be handled using centralized systems. This has led to the development of distributed spatial streaming systems. Existing systems are using static spatial partitioning to distribute the workload. In contrast, the real-time streamed spatial data follows non-uniform spatial distributions that are continuously changing over time. Distributed spatial streaming systems ne

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41

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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42

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

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43

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

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44

S. Abdulrahman, Mohammad, Rebin B. Koshnaw, and Mazin S. Al-Hakeem. "SMS DISTRIBUTER BASED PATIENT APPOINTMENTS SYSTEM." Qalaai Zanist Scientific Journal 2, no. 2 (2017): 421–30. http://dx.doi.org/10.25212/lfu.qzj.2.2.42.

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45

Sapaty, P. S. "Providing distributed system integrity under spatial grasp technology." Mathematical machines and systems 2 (2023): 18–27. http://dx.doi.org/10.34121/1028-9763-2023-2-18-27.

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In the last decades, we have witnessed an exploding growth of different kinds of sophisticated distributed systems with financial, industrial, ecological, security, military, and many other ap-plications. Providing high integrity of such systems is becoming a key point of their develop-ment, evolution, and usage, especially in various crisis situations and under disastrous and ad-versarial conditions. The paper reviews a number of existing works on the integrity, security, and recovery of distributed systems. It also briefs the main aspects of the Spatial Grasp Model and Technology (SGT), refl

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46

INUKAI, Toshihiro, Hironori HIBINO, and Yoshiro FUKUDA. "Efficient Design and Evaluation for Manufacturing Systems Using Distributed Real Simulation(Manufacturing systems and Scheduling)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2005.2 (2005): 397–402. http://dx.doi.org/10.1299/jsmelem.2005.2.397.

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47

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

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48

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

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49

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

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50

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

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