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Journal articles on the topic 'GRIND COMPUTING'

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Author: Grafiati

Published: 11 September 2023

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1

Zhang, Zhe Shan, Bin Yao, Xiang Lei Zhang, and Bo Shi Yao. "Accuracy Analysis of Grinding Indexable Inserts Related to the Centrifugal Force of High Speed Abrasive Wheel." Advanced Materials Research 422 (December 2011): 606–9. http://dx.doi.org/10.4028/www.scientific.net/amr.422.606.

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When grinding the carbide insert with the abrasive wheel at high rotating speed, the accuracy of inserts is impacted by the changed size of abrasive wheel by the centrifugal force. This paper proposes a computing model of grinding location for insert, and giving an analysis of dynamic simulation of the abrasive wheel at high rotating speed. The analysis showed which the diameter of wheel is enlarged, and its axial size is indented. According to the result, some geometrical parameters offsets were afforded to realize to grind inserts accurately in the CNC grinding machine tool.

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2

Liu, Jian Xin, Jian Jun Lv, and Ping Tan. "Research on Low Cost Automatic Polishing Machine for Die/Mold Manufacturing." Applied Mechanics and Materials 233 (November 2012): 177–80. http://dx.doi.org/10.4028/www.scientific.net/amm.233.177.

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In order to improve die/mold polishing worker’s environment and polishing automation level, we introduce a kind of low cost automatic polishing machine (LCAPM) with compliant actuator. The actuator is composed of a Tripod mechanism driven by pneumatic cylinders. Proportional valve is used to guarantee precision of cylinder’s position, and a 3D force sensor is used to adjust polishing contact force between grind stone tool and workpiece. Structure of LCAPM is described in detail; pneumatic control circuit and cylinder’s position are modeled in succession. Finally, a computing case of cylinder’s position for given workpiece is shown.

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3

Rakib, Abdur. "Grid Computing Introduction." Journal of Advances and Scholarly Researches in Allied Education 15, no. 5 (July 1, 2018): 140–44. http://dx.doi.org/10.29070/15/57603.

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4

Vachhani, Prof Milan Kantilal, and Dr Kishor H. Atkotiya. "Similarities and Contrast between Grid Computing and Cloud Computing." Indian Journal of Applied Research 3, no. 3 (October 1, 2011): 54–56. http://dx.doi.org/10.15373/2249555x/mar2013/19.

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5

Nwobodo, Ikechukwu. "Cloud Computing: A Detailed Relationship to Grid and Cluster Computing." International Journal of Future Computer and Communication 4, no. 2 (April 2015): 82–87. http://dx.doi.org/10.7763/ijfcc.2015.v4.361.

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6

S. Murali, S. Murali, C. B. Selvalakshmi C. B. Selvalakshmi, S. Padmadevi S. Padmadevi, and P. N. Karthikayan P. N. Karthikayan. "Data Mining Patters in Grid Computing." International Journal of Scientific Research 2, no. 3 (June 1, 2012): 137–38. http://dx.doi.org/10.15373/22778179/mar2013/43.

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7

Patel, Farheen. "Comparative Study of Grid and Cloud Computing." International Journal of Scientific Research 3, no. 7 (June 1, 2012): 80–81. http://dx.doi.org/10.15373/22778179/july2014/28.

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8

Kaur, Simranjeet. "Enhancing the Techniques to Secure Grid Computing." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 460–63. http://dx.doi.org/10.31142/ijtsrd2531.

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9

Sadiku, Matthew N. O., Adebowale E. Shadare, and Sarhan M. Musa. "Grid Computing." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 6 (June 30, 2017): 5–6. http://dx.doi.org/10.23956/ijarcsse/v7i6/01612.

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10

KISHIMOTO, Mitsuhiro, and Keisuke FUKUI. "Grid Computing." Journal of The Institute of Electrical Engineers of Japan 125, no. 7 (2005): 417–20. http://dx.doi.org/10.1541/ieejjournal.125.417.

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11

Dumitru, Ileana. "Grid Computing." International Journal of Sustainable Economies Management 3, no. 3 (July 2014): 67–78. http://dx.doi.org/10.4018/ijsem.2014070105.

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To calculate the potential impact of grid on the enterprise, one just needs to look back a decade or so ago. Those who remember how LANs developed in company years before the Web was born can easily get a picture of how Grid Computing in corporations may change in the years to come. In the early days of the Internet, there was a strong opposition to linking computers together in a network. Ultimately, however, the Internet has become a ubiquitous tool, and many experts predict the same outcome for Grid Computing on the enterprise. There are still concerns to consider and obstacles to be overcome, but the momentum behind corporate Grid Computing is quickly gathering pace. The integration of Grid Computing technologies into enterprise computing systems can provide a much richer range of possibilities. This integration should provide enhanced capabilities and interoperability to meet current virtual organization demands.

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12

Deelman, Ewa, and Carl Kesselman. "Grid Computing." Scientific Programming 10, no. 2 (2002): 101–2. http://dx.doi.org/10.1155/2002/368025.

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13

Rana, O. "Grid computing." Computer Bulletin 44, no. 6 (November 1, 2002): 28. http://dx.doi.org/10.1093/combul/44.6.28.

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14

Rajaraman, V. "Grid computing." Resonance 21, no. 5 (May 2016): 401–15. http://dx.doi.org/10.1007/s12045-016-0344-2.

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15

Bry, François, Wolfgang E. Nagel, and Michael Schroeder. "Grid-Computing." Informatik-Spektrum 27, no. 6 (December 2004): 542–45. http://dx.doi.org/10.1007/s00287-004-0443-4.

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16

Fischbach, Kai. "Grid computing." WIRTSCHAFTSINFORMATIK 48, no. 6 (December 2006): 452. http://dx.doi.org/10.1007/s11576-006-0101-3.

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17

Almhanna, Mahdi S., and Firas Sabah Al-Turaihi. "Efficient Bandwidth Management for Load Balancing in Grid Computing." Webology 19, no. 1 (January 20, 2022): 218–28. http://dx.doi.org/10.14704/web/v19i1/web19017.

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Incoming Information Technology (IT) services appear with cloud computing perspectives that provide users access to IT resources anytime, anywhere. These services should be good enough for the user with some advantages for the cloud service provider. To achieve this goal, you must face many challenges, load balancing is one of these challenges. The most convenient option for some functions does not mean that option is always a good choice to achieve the entire work all the time. Resource overload and bad traffic that can lead to time exhaustion should be avoided, this can be obtained through appropriate load balancing mechanisms. This paper offers a simple solution for choosing the preferred server to distribute functions based on minimum bandwidth consumption.

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18

Fox, G. "Grid computing environments." Computing in Science & Engineering 5, no. 2 (March 2003): 68–72. http://dx.doi.org/10.1109/mcise.2003.1182964.

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19

Iosup, Alexandru, and Dick Epema. "Grid Computing Workloads." IEEE Internet Computing 15, no. 2 (March 2011): 19–26. http://dx.doi.org/10.1109/mic.2010.130.

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20

Strong, Paul. "Enterprise Grid Computing." Queue 3, no. 6 (July 2005): 50–59. http://dx.doi.org/10.1145/1080862.1080877.

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21

da Fontoura Costa, L., G. Travieso, and C. A. Ruggiero. "Complex grid computing." European Physical Journal B 44, no. 1 (March 2005): 119–28. http://dx.doi.org/10.1140/epjb/e2005-00107-6.

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22

Coveney, Peter V. "Scientific Grid computing." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 363, no. 1833 (July 18, 2005): 1707–13. http://dx.doi.org/10.1098/rsta.2005.1632.

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We introduce a definition of Grid computing which is adhered to throughout this Theme Issue. We compare the evolution of the World Wide Web with current aspirations for Grid computing and indicate areas that need further research and development before a generally usable Grid infrastructure becomes available. We discuss work that has been done in order to make scientific Grid computing a viable proposition, including the building of Grids, middleware developments, computational steering and visualization. We review science that has been enabled by contemporary computational Grids, and associated progress made through the widening availability of high performance computing.

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23

Osborne, Ian. "Grid computing now." ITNOW 48, no. 4 (July 1, 2006): 32–33. http://dx.doi.org/10.1093/itnow/bwl042.

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24

R, Sindhuja, and Vasuinthira N. "Efficiently Data Analysis and Transmission for consumer using grid computing." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 643–50. http://dx.doi.org/10.31142/ijtsrd10991.

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25

Knight, W. "Unlocking the grid [grid computing technology]." Engineering & Technology 1, no. 3 (June 1, 2006): 42–45. http://dx.doi.org/10.1049/et:20060304.

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26

Gagliardi, F., and F. Grey. "Old world, new grid [grid computing]." IEEE Spectrum 43, no. 7 (July 2006): 28–33. http://dx.doi.org/10.1109/mspec.2006.1653002.

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27

Marsh, P. "Get on the grid [grid computing]." Computing and Control Engineering 16, no. 1 (February 1, 2005): 41–45. http://dx.doi.org/10.1049/cce:20050110.

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28

Aloisio, Giovanni, and Domenico Talia. "Grid Computing: Towards a New Computing Infrastructure." Future Generation Computer Systems 18, no. 8 (October 2002): v—vi. http://dx.doi.org/10.1016/s0167-739x(02)00079-1.

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29

Casanova, Henri. "Distributed computing research issues in grid computing." ACM SIGACT News 33, no. 3 (September 2002): 50–70. http://dx.doi.org/10.1145/582475.582486.

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30

Sun, Yong, Wei Qing Yang, Ji Rong Xue, Jian Hui Tian, and Wen Wei Li. "Comparing of Cloud Computing and Grid Computing." Applied Mechanics and Materials 556-562 (May 2014): 5408–12. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5408.

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As the current hot technology, many large companies have launched their own cloud computing projects, and the ways to realize each project is different, and ultimately lead to a fragmented state to explain the concept of cloud computing today. Almost all manufacturers do not deny that cloud computing is follow-up and development of grid computing, but their philosophy is different. This article aims to explore the similarities and differences between grid computing and cloud computing, from features, technology and operation costs, and to explore the solution of technical problems related to outstanding solutions through grid technology in the development of cloud computing.

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31

Xu, Yan. "Task Scheduling Algorithm Research in Grid Computing." Applied Mechanics and Materials 380-384 (August 2013): 2841–44. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2841.

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This paper studies effective task scheduling problem in the process of grid computing. Generally, task scheduling in the process of grid computing can be realized in shorter time, which guarantees the efficiency of task scheduling in grid computing. Traditional algorithm can not fully consider the resources load balance in calculating task scheduling in grid computing, resulting in network resources idleness. Finally, it can't reasonably use network resources. In order to avoid the above defects, this paper proposes a task scheduling method in grid computing based on double fitness particle swarm optimization algorithm. In the process of grid computing, channel perception method is applied to forecast the amount of grid computing tasks in the channel so as to provide the basis for task scheduling in grid computing. Realize task scheduling in grid computing by the use of double fitness particle swarm optimization algorithm. Experimental results show that under the condition of larger tasks of grid computing, the performance of task scheduling in grid computing by using the algorithm presented in this paper is superior to the traditional particle swarm optimization algorithm and can get ideal task scheduling result.

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32

Hey, T. "Computing grid unlocks research." Computer Bulletin 44, no. 4 (July 1, 2002): 18–19. http://dx.doi.org/10.1093/combul/44.4.18.

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33

Menasce, D. A., and E. Casalicchio. "QoS in grid computing." IEEE Internet Computing 8, no. 4 (July 2004): 85–87. http://dx.doi.org/10.1109/mic.2004.24.

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34

Lathia, M. "Advantages of Grid Computing." IEEE Distributed Systems Online 6, no. 2 (February 2005): 5. http://dx.doi.org/10.1109/mdso.2005.7.

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35

Goth, Greg. "Grid Computing Gets Small." IEEE Distributed Systems Online 7, no. 11 (November 2006): 3. http://dx.doi.org/10.1109/mdso.2006.66.

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36

Snavely, Allan, Greg Chun, Henri Casanova, Rob F. Van der Wijngaart, and Michael A. Frumkin. "Benchmarks for grid computing." ACM SIGMETRICS Performance Evaluation Review 30, no. 4 (March 2003): 27–32. http://dx.doi.org/10.1145/773056.773062.

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37

Yang, Guangwen, Hai Jin, Minglu Li, Nong Xiao, Wei Li, Zhaohui Wu, Yongwei Wu, and Feilong Tang. "Grid Computing in China." Journal of Grid Computing 2, no. 2 (June 2004): 193–206. http://dx.doi.org/10.1007/s10723-004-4201-2.

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38

Shi, Zhongzhi, He Huang, Jiewen Luo, Fen Lin, and Haijun Zhang. "Agent-based grid computing." Applied Mathematical Modelling 30, no. 7 (July 2006): 629–40. http://dx.doi.org/10.1016/j.apm.2005.06.018.

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39

Chadwick, David. "Authorisation in Grid computing." Information Security Technical Report 10, no. 1 (January 2005): 33–40. http://dx.doi.org/10.1016/j.istr.2004.11.004.

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40

Schwiegelshohn, Uwe, Rosa M. Badia, Marian Bubak, Marco Danelutto, Schahram Dustdar, Fabrizio Gagliardi, Alfred Geiger, et al. "Perspectives on grid computing." Future Generation Computer Systems 26, no. 8 (October 2010): 1104–15. http://dx.doi.org/10.1016/j.future.2010.05.010.

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41

Sungkar, Armu, and Tena Kogoya. "A REVIEW OF GRID COMPUTING." Computer Science & IT Research Journal 1, no. 1 (April 18, 2020): 1–6. http://dx.doi.org/10.51594/csitrj.v1i1.128.

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Grid computing is a combination of interconnected resources which can be spread all over the world having higher computing capabilities. The benefit of grid computing includes higher computation and memory capacity because of grid resources spread all over the world. The grid computing is managed by intra-grid scope which refers to the methodologies and the algorithms used for managing the grid network related issues such as task scheduling, resource balancing and security of the network. The advantages of grid computing include access to inaccessible resources, resource utilization and balancing, reliability, and parallel computing and scalability. The limitations of the grid computing include application in limited fields and suitability with applications running in batch mode only based on parallel processing

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42

Ben Belgacem, Mohamed, Nabil Abdennadher, and Marko Niinimaki. "Virtual EZ Grid." International Journal of Handheld Computing Research 3, no. 1 (January 2012): 74–85. http://dx.doi.org/10.4018/jhcr.2012010105.

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This paper presents the Virtual EZ Grid project, based on the XtremWeb-CH (XWCH) volunteer computing platform. The goal of the project is to introduce a flexible distributed computing system, with (i) an infrastructure with a non-trivial amount of computing resources from various institutes, (ii) a stable platform that manages these computing resources and provides advanced interfaces for applications, and (iii) a set of applications that take benefit of the platform. This paper concentrates on the application support of the new version of XWCH, and describes how two medical applications, MedGIFT and NeuroWeb, utilise it.

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43

Dar, Rameez Mushtaq, and Romana Riyaz. "Grid Computing: An Insight into Heterogeneous Computing Environment." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 2 (February 28, 2017): 57–61. http://dx.doi.org/10.23956/ijarcsse/v7i2/0123.

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44

Goel, Shipra. "Grid Computing integrated with Mobile computing wireless devices." International Journal of Mobile Network Communications & Telematics 1, no. 2 (December 31, 2011): 39–48. http://dx.doi.org/10.5121/ijmnct.2011.1203.

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45

Ogura, T., K. Okada, M. Inaba, and H. Inoue. "Behavior Acquisition System Towards Grid Computing Computing Environment." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2003 (2003): 35. http://dx.doi.org/10.1299/jsmermd.2003.35_6.

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46

Edwards, C. "Getting to grips with grid (grid computing)." Information Professional 3, no. 1 (February 1, 2006): 14–18. http://dx.doi.org/10.1049/inp:20060101.

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47

Mohammad Khanli, L., and M. Analoui. "Active Grid Information Server for grid computing." Journal of Supercomputing 50, no. 1 (November 11, 2008): 19–35. http://dx.doi.org/10.1007/s11227-008-0250-9.

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48

Lui Sha. "Industrial computing. A grand challenge." Computer 27, no. 1 (January 1994): 12–13. http://dx.doi.org/10.1109/2.248872.

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49

Hoare, T. "Grand Challenges for Computing Research." Computer Journal 48, no. 1 (January 1, 2005): 49–52. http://dx.doi.org/10.1093/comjnl/bxh065.

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50

Bainbridge, William Sims. "Grand Computing Challenges for Sociology." Social Science Computer Review 12, no. 2 (July 1994): 183–92. http://dx.doi.org/10.1177/089443939401200203.

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