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Articoli di riviste sul tema "Distributed processing"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Fox, Peter T., and Karl J. Friston. "Distributed processing; distributed functions?" NeuroImage 61, no. 2 (2012): 407–26. http://dx.doi.org/10.1016/j.neuroimage.2011.12.051.

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2

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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3

Stewart, Ian. "Highly distributed processing." Nature 337, no. 6202 (1989): 13. http://dx.doi.org/10.1038/337013a0.

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4

Scherr, A. L. "SAA distributed processing." IBM Systems Journal 27, no. 3 (1988): 370–83. http://dx.doi.org/10.1147/sj.273.0370.

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5

Scherr, A. L. "Distributed data processing." IBM Systems Journal 38, no. 2.3 (1999): 354–74. http://dx.doi.org/10.1147/sj.382.0354.

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6

Bowen, Dyfed. "Open distributed processing." Computer Networks and ISDN Systems 23, no. 1-3 (1991): 195–201. http://dx.doi.org/10.1016/0169-7552(91)90107-n.

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7

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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Abstract (sommario):

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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8

Sutherland, Stuart. "Cognition: Parallel distributed processing." Nature 323, no. 6088 (1986): 486. http://dx.doi.org/10.1038/323486a0.

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9

Nierstrasz, Oscar, Alan Snyder, Anthony S. Williams, and William Cook. "Open distributed processing (panel)." ACM SIGPLAN OOPS Messenger 5, no. 2 (1994): 67–71. http://dx.doi.org/10.1145/260304.260322.

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10

KRITHIVASAN, KAMALA, N. SAKTHI BALAN, and PRAHLADH HARSHA. "DISTRIBUTED PROCESSING IN AUTOMATA." International Journal of Foundations of Computer Science 10, no. 04 (1999): 443–63. http://dx.doi.org/10.1142/s0129054199000319.

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With distributed computing beginning to play a major role in modern Computer Science, the theory of grammar systems and distributed automata has been developed in order to model distributed computing. In this paper, we introduce the notion of distributed automata in the sequential sense. Distributed Automata are a group of automata working in unison to accept one language. We build the theory of distributed for FSA and PDA in different modes of acceptance like the t-mode, *-mode, =k-mode, ≤k-mode and ≥k-mode. We then analyze the acceptance power of each automata in all the above modes. We pres

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11

Smith, J. E. "Instruction-level distributed processing." Computer 34, no. 4 (2001): 59–65. http://dx.doi.org/10.1109/2.917541.

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12

Kolcun, Roman, David E. Boyle, and Julie A. McCann. "Efficient Distributed Query Processing." IEEE Transactions on Automation Science and Engineering 13, no. 3 (2016): 1230–46. http://dx.doi.org/10.1109/tase.2016.2530941.

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13

Dawson, Michael R. W., and Don P. Schopflocher. "Autonomous processing in parallel distributed processing networks." Philosophical Psychology 5, no. 2 (1992): 199–219. http://dx.doi.org/10.1080/09515089208573056.

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14

Hoppen, Martin, Ralf Waspe, Malte Rast, and Juergen Rossmann. "Distributed Information Processing and Rendering for 3D Simulation Applications." International Journal of Computer Theory and Engineering 6, no. 3 (2014): 247–53. http://dx.doi.org/10.7763/ijcte.2014.v6.870.

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15

Terletska, Khrystyna. "Data Consistency in Distributed Multi-Stage Event Processing Pipelines." American Journal of Engineering and Technology 07, no. 06 (2025): 127–34. https://doi.org/10.37547/tajet/volume07issue06-14.

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Abstract (sommario):

The article examines the problem of ensuring end-to-end data consistency in distributed multi-stage event processing pipelines, which are actively used in modern real-time systems. The relevance of the study is determined by the rapid growth of streaming analytics needs and the widespread use of Apache Kafka, making message latency, duplication, and disorder critical factors for industries ranging from fintech to IoT. The goal of this work is to propose a formal model that unifies an extended event representation and a set of invariants that guarantee correct processing even in the presence of

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16

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

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17

Schlichter, Johann. "Collaboration in distributed document processing." ACM SIGOIS Bulletin 13, no. 1 (1992): 32–33. http://dx.doi.org/10.1145/130643.130682.

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18

Wolfson, Ouri, and Avi Silberschatz. "Distributed processing of logic programs." ACM SIGMOD Record 17, no. 3 (1988): 329–36. http://dx.doi.org/10.1145/971701.50242.

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19

Frasciello, Michael J., and John Richardson. "Distributed processing and Windows NT." Library Consortium Management: An International Journal 1, no. 3/4 (1999): 76–83. http://dx.doi.org/10.1108/14662769910305768.

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20

Ye, Haiwei, Brigitte Kerhervé, and Gregor V. Bochmann. "QoS-based Distributed Query Processing." Ingénierie des systèmes d'information 9, no. 5-6 (2004): 205–34. http://dx.doi.org/10.3166/isi.9.5-6.205-234.

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21

Tamura, Shinsuke, Yasukuni Okataku, and Toshibumi Seki. "Intellectual Distributed Processing System Architechture." IEEJ Transactions on Electronics, Information and Systems 108, no. 6 (1988): 393–400. http://dx.doi.org/10.1541/ieejeiss1987.108.6_393.

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22

Daniels, Dean S., Alfred Z. Spector, and Dean S. Thompson. "Distributed logging for transaction processing." ACM SIGMOD Record 16, no. 3 (1987): 82–96. http://dx.doi.org/10.1145/38714.38728.

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23

Kennedy, Scott D., and Andrew B. Schwartz. "Distributed processing of movement signaling." Proceedings of the National Academy of Sciences 116, no. 52 (2019): 26266–73. http://dx.doi.org/10.1073/pnas.1902296116.

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Abstract (sommario):

Basic neurophysiological research with monkeys has shown how neurons in the motor cortex have firing rates tuned to movement direction. This original finding would have been difficult to uncover without the use of a behaving primate paradigm in which subjects grasped a handle and moved purposefully to targets in different directions. Subsequent research, again using behaving primate models, extended these findings to continuous drawing and to arm and hand movements encompassing action across multiple joints. This research also led to robust extraction algorithms in which information from neuro

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24

Jayasekara, Sachini, Sameera Kannangara, Tishan Dahanayakage, Isuru Ranawaka, Srinath Perera, and Vishaka Nanayakkara. "Wihidum: Distributed complex event processing." Journal of Parallel and Distributed Computing 79-80 (May 2015): 42–51. http://dx.doi.org/10.1016/j.jpdc.2015.03.002.

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25

Zajac, Bernard P. "Distributed data processing: New problems." Computers & Security 7, no. 3 (1988): 249–50. http://dx.doi.org/10.1016/0167-4048(88)90027-2.

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26

SAYED, A. H., and C. G. LOPES. "Adaptive Processing over Distributed Networks." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E90-A, no. 8 (2007): 1504–10. http://dx.doi.org/10.1093/ietfec/e90-a.8.1504.

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27

Tsuchiya, M., and Douglas C. Shannon. "Simulation of distributed processing networks." Computer Networks and ISDN Systems 11, no. 1 (1986): 15–27. http://dx.doi.org/10.1016/0169-7552(86)90026-7.

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28

Casazza, Peter G., Gitta Kutyniok, and Shidong Li. "Fusion frames and distributed processing." Applied and Computational Harmonic Analysis 25, no. 1 (2008): 114–32. http://dx.doi.org/10.1016/j.acha.2007.10.001.

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29

Hui, S. C., K. Y. Chan, and G. Y. Qian. "Distributed fax message processing system." Journal of Network and Computer Applications 20, no. 2 (1997): 171–90. http://dx.doi.org/10.1006/jnca.1997.0045.

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30

Segev, Arie. "Algorithms for distributed data processing." Computers & Operations Research 14, no. 2 (1987): 145–62. http://dx.doi.org/10.1016/0305-0548(87)90006-2.

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31

Venkatasubramanian, S. "Green IoT Edge Computing Towards Sustainable and Distributed Data Processing." International Journal of Research Publication and Reviews 4, no. 9 (2023): 413–36. http://dx.doi.org/10.55248/gengpi.4.923.52454.

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32

Yamasaki, Nobuyuki, and Toshihiro Matsui. "Functionally distributed responsive micro controller for distributed real-time processing." Computer Standards & Interfaces 20, no. 6-7 (1999): 429. http://dx.doi.org/10.1016/s0920-5489(99)90857-7.

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33

Tran, Tri Minh, and Byung Suk Lee. "Distributed Adaptive Windowed Stream Join Processing." International Journal of Distributed Systems and Technologies 2, no. 2 (2011): 59–81. http://dx.doi.org/10.4018/jdst.2011040104.

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Abstract (sommario):

This paper presents an adaptive framework for processing a window-based multi-way join query over distributed data streams. The framework integrates distributed plan modification and distributed plan migration within the same scope by using a building block called the node operator set (NOS). An NOS is housed in each node that participates in the join execution, and specifies the set of atomic operations to be performed locally at the host node to execute its share of the global execution plan. The plan modification and migration techniques presented are for the case of updating the NOSs centr

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34

Lederman, Susan J., Roger A. Browse, and Roberta L. Klatzky. "Haptic processing of spatially distributed information." Perception & Psychophysics 44, no. 3 (1988): 222–32. http://dx.doi.org/10.3758/bf03206291.

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35

Chen, Po-Chih, and Palghat Vaidyanathan. "Distributed Algorithms for Array Signal Processing." IEEE Transactions on Signal Processing 69 (2021): 4607–22. http://dx.doi.org/10.1109/tsp.2021.3101015.

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36

Darmont, Jérôme, Boris Novikov, Robert Wrembel, and Ladjel Bellatreche. "Data processing in modern distributed architectures." Information Systems 104 (February 2022): 101936. http://dx.doi.org/10.1016/j.is.2021.101936.

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37

Ras, Zbigniew W. "Query Processing in Distributed Information Systems." Fundamenta Informaticae 15, no. 3-4 (1991): 381–97. http://dx.doi.org/10.3233/fi-1991-153-411.

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In our model of a distributed information system, two information structures are maintained – the application database and the (routing) database used to route queries in a computer network. Any site of a distributed information system which does not understand some attribute values used in a query has to search for a site which can explain them. The information stored in routing database has a strong impact on the speed of this search. In [5], we propose that each site learns from its neighbors the descriptions of all unknown attribute values used in queries. These descriptions are represente

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38

SrinivasaRao, P., V. P. C Rao, and A. Govardhan. "Priority based Distributed Job Processing System." International Journal of Computer Applications 60, no. 17 (2012): 13–17. http://dx.doi.org/10.5120/9783-4319.

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39

Wiggins, R. E. "Distributed information processing: trends and implications." Aslib Proceedings 37, no. 2 (1985): 73–90. http://dx.doi.org/10.1108/eb050955.

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40

Yosuf, Barzan A., Mohamed Musa, Taisir Elgorashi, and Jaafar Elmirghani. "Energy Efficient Distributed Processing for IoT." IEEE Access 8 (2020): 161080–108. http://dx.doi.org/10.1109/access.2020.3020744.

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41

Tarasov, E. N. "Ergatic Distributed Data-Processing Systems Control." MEHATRONIKA, AVTOMATIZACIA, UPRAVLENIE 17, no. 4 (2016): 245–49. http://dx.doi.org/10.17587/mau.17.245-249.

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42

Stanoi, Ioana, George Mihaila, Themis Palpanas, and Christian Lang. "WhiteWater: Distributed Processing of Fast Streams." IEEE Transactions on Knowledge and Data Engineering 19, no. 9 (2007): 1214–26. http://dx.doi.org/10.1109/tkde.2007.1056.

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43

Bodorik, P., J. S. Riordon, and J. S. Pyra. "Deciding to correct distributed query processing." IEEE Transactions on Knowledge and Data Engineering 4, no. 3 (1992): 253–65. http://dx.doi.org/10.1109/69.142016.

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44

Bodorik, P., and J. S. Riordon. "Threshold Values for Processing Distributed Queries." Computer Journal 34, no. 6 (1991): 551–58. http://dx.doi.org/10.1093/comjnl/34.6.551.

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45

Liu, C., and C. Yu. "Performance issues in distributed query processing." IEEE Transactions on Parallel and Distributed Systems 4, no. 8 (1993): 889–905. http://dx.doi.org/10.1109/71.238624.

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46

Banks, D. J., P. Degenaar, and C. Toumazou. "Distributed current-mode image processing filters." Electronics Letters 41, no. 22 (2005): 1201. http://dx.doi.org/10.1049/el:20052971.

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47

Baumgurtel, H. "Distributed constraint processing for production logistics." IEEE Intelligent Systems 15, no. 1 (2000): 40–48. http://dx.doi.org/10.1109/5254.820328.

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48

Banks, Richard, Peter Furniss, Klaus Heien, and H. Rüdiger Wiehle. "OSI distributed transaction processing commitment optimizations." ACM SIGCOMM Computer Communication Review 28, no. 5 (1998): 61–75. http://dx.doi.org/10.1145/303297.303308.

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49

Hochreiner, Christoph, Stefan Schulte, Schahram Dustdar, and Freddy Lecue. "Elastic Stream Processing for Distributed Environments." IEEE Internet Computing 19, no. 6 (2015): 54–59. http://dx.doi.org/10.1109/mic.2015.118.

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50

Smith, Jim, Paul Watson, Anastasios Gounaris, Norman W. Paton, Alvaro A. A. Fernandes, and Rizos Sakellariou. "Distributed Query Processing on the Grid." International Journal of High Performance Computing Applications 17, no. 4 (2003): 353–67. http://dx.doi.org/10.1177/10943420030174002.

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