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Journal articles on the topic 'Scalability'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 September 2024

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1

Katata, Hiroyuki. "Scalability." Journal of the Institute of Image Information and Television Engineers 51, no. 12 (1997): 1983. http://dx.doi.org/10.3169/itej.51.1983.

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2

Merrell, Ronald C., and Charles R. Doarn. "Scalability." Telemedicine and e-Health 25, no. 4 (April 2019): 261–62. http://dx.doi.org/10.1089/tmj.2019.29021.crd.

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3

Muslihaeny, Siti, Muhammad Ainul Yaqin, and Syahiduz Zaman. "Simulasi Pertumbuhan Scalable Business Process Model pada ERP Pondok Pesantren berbasis Production Rule Cellular Automata." ILKOMNIKA: Journal of Computer Science and Applied Informatics 1, no. 2 (December 31, 2019): 30–38. http://dx.doi.org/10.28926/ilkomnika.v1i2.16.

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Penelitian ini bertujuan untuk mensimulasi scalable business process model dari ERP Pondok Pesantren guna mendapatkan variasi proses bisnis yang mungkin terjadi menggunakan teori Production Rule Cellular Automata. Inputan untuk sistem ini adalah model proses bisnis dari empat tipe Pondok Pesantren yang dimodelkan menggunakan Petri net berupa file PNML. Parameter yang digunakan untuk mensimulasikan pertumbuhan proses bisnis adalah scalability. Scalability / skalabilitas adalah potensi proses bisnis untuk tumbuh atau kemampuan pertumbuhan dari proses bisnis. Nilai scalability dapat diukur dengan perhitungan kemiripan workflow dan skala model proses bisnis. Pertumbuhan proses bisnis terjadi pada model A dengan pembanding model B. Syarat untuk dapat terjadi pertumbuhan pada proses bisnis yaitu complexity model A harus lebih kecil daripada model B. Pola pertumbuhan proses bisnis dilakukan secara random dengan dua pembobotan yaitu secara percabangan dan sequence. Pertumbuhan berhenti jika scalabiltiy pada nilai “>=0” dan “<1” Hasil dari penelitian ini menunjukkan bahwa sistem mampu melakukan simulasi pertumbuhan pada file PNML yang ditandai dengan nilai recent scalability lebih kecil dibandingkan scalability awal. Kemudian output sistem adalah file PNML hasil dari simulasi pertumbuhan proses bisnis dengan pertumbuhan elemen baru. Berdasarkan hasil pengujian dari segi nilai scalability, penelitian terbukti berhasil dengan fakta penurunan nilai scalability.
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4

Horrocks, Ian. "Semantics ⊓ scalability ⊨ ⊥?" Journal of Zhejiang University SCIENCE C 13, no. 4 (April 2012): 241–44. http://dx.doi.org/10.1631/jzus.c1101001.

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5

Eick, Stephen G., and Alan F. Karr. "Visual Scalability." Journal of Computational and Graphical Statistics 11, no. 1 (March 2002): 22–43. http://dx.doi.org/10.1198/106186002317375604.

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6

ACM Case Study. "Photoshop scalability." Communications of the ACM 53, no. 10 (October 2010): 32–38. http://dx.doi.org/10.1145/1831407.1831423.

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7

Surridge, Christopher. "Scale and scalability." New Phytologist 170, no. 3 (May 2006): 426–28. http://dx.doi.org/10.1111/j.1469-8137.2006.01734.x.

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8

Macri, Dean. "The Scalability Problem." Queue 1, no. 10 (February 2004): 66–73. http://dx.doi.org/10.1145/971564.971594.

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9

Brataas, Gunnar, and Peter Hughes. "Exploring architectural scalability." ACM SIGSOFT Software Engineering Notes 29, no. 1 (January 2004): 125–29. http://dx.doi.org/10.1145/974043.974064.

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10

Falatah, Maram Mohammed, and Omar Abdullah Batarfi. "Cloud Scalability Considerations." International Journal of Computer Science & Engineering Survey 5, no. 4 (August 31, 2014): 37–47. http://dx.doi.org/10.5121/ijcses.2014.5403.

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11

Chen, Xuemei, Gitta Kutyniok, Kasso A. Okoudjou, Friedrich Philipp, and Rongrong Wang. "Measures of Scalability." IEEE Transactions on Information Theory 61, no. 8 (August 2015): 4410–23. http://dx.doi.org/10.1109/tit.2015.2441071.

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12

Ke, Weimao. "Scalability of findability." ACM SIGIR Forum 44, no. 2 (January 3, 2011): 86. http://dx.doi.org/10.1145/1924475.1924497.

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13

Gunther, Neil, Paul Puglia, and Kristofer Tomasette. "Hadoop Superlinear Scalability." Queue 13, no. 5 (May 2015): 20–42. http://dx.doi.org/10.1145/2773212.2789974.

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14

Gunther, Neil J., Paul Puglia, and Kristofer Tomasette. "Hadoop superlinear scalability." Communications of the ACM 58, no. 4 (March 23, 2015): 46–55. http://dx.doi.org/10.1145/2719919.

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15

Hill, Mark D. "What is scalability?" ACM SIGARCH Computer Architecture News 18, no. 4 (December 2, 1990): 18–21. http://dx.doi.org/10.1145/121973.121975.

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16

Orlando, Joe. "Demonstrating Process Scalability." Genetic Engineering & Biotechnology News 38, no. 14 (August 2018): 22–23. http://dx.doi.org/10.1089/gen.38.14.10.

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17

Blakeley, Michael. "Content server scalability." Journal of Digital Asset Management 3, no. 5 (October 2007): 239–45. http://dx.doi.org/10.1057/palgrave.dam.3650092.

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18

., Nishant Agnihotri. "EVALUATING PAAS SCALABILITY AND IMPROVING PERFORMANCE USING SCALABILITY IMPROVEMENT SYSTEMS." International Journal of Research in Engineering and Technology 03, no. 03 (March 25, 2014): 598–602. http://dx.doi.org/10.15623/ijret.2014.0303111.

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19

Li, Zhengguo G., Susanto Rahardja, and Huifang Sun. "Implicit Bit Allocation for Combined Coarse Granular Scalability and Spatial Scalability." IEEE Transactions on Circuits and Systems for Video Technology 16, no. 12 (December 2006): 1449–59. http://dx.doi.org/10.1109/tcsvt.2006.885176.

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20

Grijota, Carolina Gracia, Raquel Acero, and José Antonio Yagüe-Fabra. "Product development methodology "scalability"." Procedia CIRP 100 (2021): 571–76. http://dx.doi.org/10.1016/j.procir.2021.05.125.

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21

Jelenkovi, Predrag R., Petar Momilovi, and Mark S. Squillante. "Scalability of Wireless Networks." IEEE/ACM Transactions on Networking 15, no. 2 (April 2007): 295–308. http://dx.doi.org/10.1109/tnet.2007.892846.

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22

Joo, Changhee, and Saewoong Bahk. "Scalability problems of RED." Electronics Letters 38, no. 21 (2002): 1297. http://dx.doi.org/10.1049/el:20020744.

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23

Mishra, A. "Scalability in communication networks." IEEE Network 16, no. 4 (July 2002): 10. http://dx.doi.org/10.1109/mnet.2002.1020230.

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24

Duboc, Letícia, Emmanuel Letier, and David S. Rosenblum. "Death, Taxes, & Scalability." IEEE Software 27, no. 4 (July 2010): 20–21. http://dx.doi.org/10.1109/ms.2010.97.

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25

Cerf, Vinton G. "Abstraction, Federation, and Scalability." IEEE Internet Computing 17, no. 1 (January 2013): 96—c3. http://dx.doi.org/10.1109/mic.2013.8.

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26

Deters, Ralph. "Scalability and information agents." ACM SIGAPP Applied Computing Review 9, no. 3 (September 2001): 13–20. http://dx.doi.org/10.1145/570132.570135.

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27

Abdel‐Rahman, Ehab. "Scalability of Thermoacoustic Refrigerator." Journal of the Acoustical Society of America 123, no. 5 (May 2008): 3543. http://dx.doi.org/10.1121/1.2934534.

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28

Hull, Sean. "20 obstacles to scalability." Communications of the ACM 56, no. 9 (September 2013): 54–59. http://dx.doi.org/10.1145/2500468.2500475.

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29

Reichenbach, Michael. "Between Scalability and Hybridization." ATZ worldwide 120, no. 12 (November 30, 2018): 20–21. http://dx.doi.org/10.1007/s38311-018-0203-8.

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30

Hull, Sean. "20 Obstacles to Scalability." Queue 11, no. 7 (July 2013): 20–26. http://dx.doi.org/10.1145/2508834.2512489.

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31

Nussbaum, Daniel, and Anant Agarwal. "Scalability of parallel machines." Communications of the ACM 34, no. 3 (March 1991): 57–61. http://dx.doi.org/10.1145/102868.102871.

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32

Samal, Mamata, V. Vijaya Saradhi, and Sukumar Nandi. "Scalability of correlation clustering." Pattern Analysis and Applications 21, no. 3 (February 24, 2017): 703–19. http://dx.doi.org/10.1007/s10044-017-0598-7.

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33

Suleman, Hussein, Christopher Parker, and Muammar Omar. "Lightweight component-based scalability." International Journal on Digital Libraries 9, no. 2 (September 23, 2008): 115–24. http://dx.doi.org/10.1007/s00799-008-0047-8.

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34

Herringer, James W., Daniel R. Lester, Graham E. Dorrington, Gary Rosengarten, and James G. Mitchell. "Hydrodynamic drift ratchet scalability." AIChE Journal 63, no. 6 (November 17, 2016): 2358–66. http://dx.doi.org/10.1002/aic.15569.

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35

Carretero, Jesus, and Jose Daniel Garcia. "Scalability in data management." Journal of Supercomputing 47, no. 3 (May 20, 2008): 253–54. http://dx.doi.org/10.1007/s11227-008-0213-1.

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36

Jones, Kristin. "Scalability of Urban Agriculture." Enquiry The ARCC Journal for Architectural Research 21, no. 1 (June 25, 2024): 1–15. http://dx.doi.org/10.17831/enqarcc.v21i1.1195.

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Urban farming and community gardening are gaining popularity as strategies to address food insecurity and inequities in city life. Urban agriculture has been proposed as a way to enhance a city’s resilience. This concept is not new, as Ludwig Hilberseimer and Alfred Caldwell demonstrated in the 1940s when they envisioned a more resilient city for the industrialized world utilizing a decentralized, linear development model within a productive living landscape. In asserting that “small farms could solve mass poverty, mass unemployment and inflation– our great national disasters,” Caldwell presented a vision of small-scale farming as an act of resistance and empowerment for individuals, with the goal of initiating large-scale social and environmental transformation. This study takes Caldwell’s assertion as a starting point to investigate what we can learn from existing examples of urban agriculture in order to enhance urban resilience. The research examines three distinct approaches to urban farming currently implemented in Chicago, aiming to extrapolate their scalability and impact on broader societal and environmental change. The selected cases represent a range of farming practices and organizational types, encompassing conventional raised bed farming, aquaponics, hydroponics, and permaculture. Organizational diversity is reflected in the inclusion of a large non-profit organization, a local community group, and a private entrepreneur. Each case is analyzed based on a) The specific approach to farming technologies and practices, b) The corresponding development and implementation process leading to fruition, c) Evaluation of its transformative effects on individuals and its broader societal and environmental impact, d) Identification of perceived opportunities or barriers to growth and long-term success. The study identifies numerous opportunities for scaling up and emphasizes the varied objectives in urban agriculture. To support the growth of urban agriculture within resilient cities, a comprehensive multi-faceted, multi-scalar framework is necessary.
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37

Manwade, K. B., and D. B. Kulkarni. "MPI performance guidelines for scalability." International Journal of Computer Sciences and Engineering 06, no. 01 (February 28, 2018): 60–65. http://dx.doi.org/10.26438/ijcse/v6si1.6065.

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38

Chen, Zhe Sage, and Bijan Pesaran. "Improving scalability in systems neuroscience." Neuron 109, no. 11 (June 2021): 1776–90. http://dx.doi.org/10.1016/j.neuron.2021.03.025.

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39

Blum, Johannes, and Sabine Storandt. "Scalability of Route Planning Techniques." Proceedings of the International Conference on Automated Planning and Scheduling 28 (June 15, 2018): 20–28. http://dx.doi.org/10.1609/icaps.v28i1.13888.

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In this paper, we thoroughly analyze the scaling behavior of several state-of-the-art route planning techniques for road networks, all of which rely on preprocessing. One goal is to determine which technique is most suitable to be used on huge networks. To be able to conduct scalability studies in a clean way, we first describe a new kind of road network generator that allows to produce road networks even larger than that of our planet with similar properties as real networks. We then carefully implement several preprocessing-based route planning techniques, as contraction hierarchies, hub labels and transit nodes, to study their space consumption as well as their search spaces in different sized networks. This allows to derive functions that describe their empirical scaling behavior for the first time. We also compare our functions to existing theoretical bounds. We show that several of our results can not be sufficiently explained by the theoretical investigations conducted so far. Hence our results encourage a further look for road network models that allow for better predictions.
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40

Jordan, Michael I. "On statistics, computation and scalability." Bernoulli 19, no. 4 (September 2013): 1378–90. http://dx.doi.org/10.3150/12-bejsp17.

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41

Agrawal, Akansha, and Shreya Sharma. "Optimizing k-means for Scalability." International Journal of Computer Applications 120, no. 17 (June 18, 2015): 20–24. http://dx.doi.org/10.5120/21320-4337.

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42

Fayad, Mohamed, and Shivanshu Singh. "The Current State of Scalability." International Journal of Software Architecture 1, no. 1 (August 1, 2010): 19–23. http://dx.doi.org/10.5308/2153-8409.001.01.010.

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43

Hussien, Nur Syahela, Sarina Sulaiman, Abdulaziz Aborujilah, Merlinda Wibowo, and Hussein Samma. "Scalability of Mobile Cloud Storage." International Journal of Interactive Mobile Technologies (iJIM) 15, no. 21 (November 9, 2021): 199. http://dx.doi.org/10.3991/ijim.v15i21.25413.

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<span>Today, there are high demands on Mobile Cloud Storage (MCS) services that need to manage the increasing number of works with stable performance. This situation brings a challenge for data management systems because when the number of works increased MCS needs to manage the data wisely to avoid latency occur. If latency occurs it will slow down the data performance and it should avoid that problem when using MCS. Moreover, MCS should provide users access to data faster and correctly. Hence, the research focuses on the scalability of mobile cloud data storage management, which is study the scalable on how deep the data folder itself that increase the number of works.</span>
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44

Fakhrudin, Achmad, Heru P. Ipung, Mohamad Amin Soetomo, and Charles Lim. "Core Banking System Scalability Review." ACMIT Proceedings 6, no. 1 (July 6, 2021): 64–71. http://dx.doi.org/10.33555/acmit.v6i1.99.

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In carrying out the digital transformation, bank has to find their optimal routes to exploit the Open Banking opportunity and minimize or manage any threat. However open Banking models will be making implication on the increasingly hit from the external parties. It will be new and more unpredictable data volumes as third parties request access to the banking system. Bank has to prepare their Banking system on the Enterprise Architecture, and one of the concerns is on the scalability. For the traditional core banking system, the platform of mainframe and other legacy technology could remain the bottleneck to agility and scalability. In this paper, scalability testing and analysis are carried out to verify whether the traditional banking core system running on the power platform can be scalable to support open banking strategy. The results found were that the core banking system could be scalable, but needed a lot of enhancement on the core banking application side, as well as capacity upgrading on the server side.
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45

Yost, Beth, and Chris North. "The Perceptual Scalability of Visualization." IEEE Transactions on Visualization and Computer Graphics 12, no. 5 (September 2006): 837–44. http://dx.doi.org/10.1109/tvcg.2006.184.

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46

Green, Cordell. "Formality helps scalability and robustness." ACM Computing Surveys 28, no. 4es (December 1996): 5. http://dx.doi.org/10.1145/242224.242231.

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47

de Witt, S., and A. Lahiff. "Quantifying XRootD Scalability and Overheads." Journal of Physics: Conference Series 513, no. 3 (June 11, 2014): 032025. http://dx.doi.org/10.1088/1742-6596/513/3/032025.

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48

Ramprasad, R., and N. Shi. "Scalability of phononic crystal heterostructures." Applied Physics Letters 87, no. 11 (September 12, 2005): 111101. http://dx.doi.org/10.1063/1.2043242.

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49

RAUBER, THOMAS, GUDULA RÜNGER, and CARSTEN SCHOLTES. "SCALABILITY OF SPARSE CHOLESKY FACTORIZATION." International Journal of High Speed Computing 10, no. 01 (March 1999): 19–52. http://dx.doi.org/10.1142/s012905339900003x.

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50

Crupi, Giovanni, Antonio Raffo, Valeria Vadala, Giorgio Vannini, Dominique M. M. P. Schreurs, and Alina Caddemi. "Scalability of Multifinger HEMT Performance." IEEE Microwave and Wireless Components Letters 30, no. 9 (September 2020): 869–72. http://dx.doi.org/10.1109/lmwc.2020.3012181.

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