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Journal articles on the topic 'Grid computing'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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

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2

Coveney, Peter V. "Scientific Grid computing." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 363, no. 1833 (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 associat

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3

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 (2017): 5–6. http://dx.doi.org/10.23956/ijarcsse/v7i6/01612.

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4

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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5

Dumitru, Ileana. "Grid Computing." International Journal of Sustainable Economies Management 3, no. 3 (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 overco

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6

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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7

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

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8

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

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9

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

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10

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

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11

Rekaby, Amr. "Grid Computing." COMPUSOFT: An International Journal of Advanced Computer Technology 02, no. 02 (2013): 49–53. https://doi.org/10.5281/zenodo.14594431.

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Grid computing is a new generation of distributed computing. The target of grid paradigm is how to construct strong processing power and storage resources by many small and weak resources. Gird computing is a mesh of interconnected resources worldwide which constructs massive powerful capabilities. The user of the grid has the ability to use any (or many) of these interconnected resources in the grid to solve his problems, which cannot be solved by locally owned resources capabilities. 

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12

Ramakrishnan, L. "Grid computing - Securing next-generation grids." IT Professional 6, no. 2 (2004): 34–39. http://dx.doi.org/10.1109/mitp.2004.1278860.

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13

Yang, Chao-Tung, Wen-Jen Hu, and Kuan-Chou Lai. "On Construction of a Multi-Grid Resource Selection Strategy on Grids." International Journal of Grid and High Performance Computing 6, no. 1 (2014): 38–62. http://dx.doi.org/10.4018/ijghpc.2014010103.

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Grid computing is now in widespread use, integrating geographical computing resources across multiple virtual organizations to achieve high performance computing. A single grid does not often provide a vast resource because virtual organizations have inadequate computing resource restrictions for management on an organizational scale. This paper presents a new grid architecture named Multi-Grid, which integrates multiple computational grids from different virtual organizations. This study builds a resource broker on multiple grid environments, integrating a number of single grids from differen

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14

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 (2011): 54–56. http://dx.doi.org/10.15373/2249555x/mar2013/19.

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15

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

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16

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

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17

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

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18

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

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19

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

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20

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

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21

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

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22

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

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23

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

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24

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 (2012): 137–38. http://dx.doi.org/10.15373/22778179/mar2013/43.

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25

SA MVPanduranga Rao, Kavya. "Grid Computing for Load Balancing Strategies." International Journal of Science and Research (IJSR) 1, no. 3 (2012): 1–7. http://dx.doi.org/10.21275/ijsr12120309.

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26

Mustafee, Navonil. "Exploiting grid computing, desktop grids and cloud computing for e‐science." Transforming Government: People, Process and Policy 4, no. 4 (2010): 288–98. http://dx.doi.org/10.1108/17506161011081291.

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27

Thilmany, Jean. "Getting on the Grid." Mechanical Engineering 125, no. 03 (2003): 46–48. http://dx.doi.org/10.1115/1.2003-mar-1.

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This review discusses grid computing that is a low-cost way to harness the central processing units of a group of workstations. The grid can be made up of any number of central processing units (CPU), and they may be far-flung or within the same company, or even in the same department. Grid computing puts to work on the grid all available CPUs at idle workstations and thus does away with the need for powerful servers or supercomputers. Sun Microsystems Inc., Santa Clara, CA, and IBM of Armonk, New York, have both released software within the past three years that can divide and farm out pieces

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28

Yang, Sen, and Ruijuan Zheng. "Edge computing Helps the Development of Smart Grid." Journal of Computing and Electronic Information Management 10, no. 3 (2023): 69–71. http://dx.doi.org/10.54097/jceim.v10i3.8704.

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With the rapid development of smart grids, the number of terminals connected to them has sharply increased. Using these terminals, the smart grid management system can monitor real-time information such as power consumption and power quality in the power grid to ensure safe and stable operation of the power grid. However, the access of a large number of terminals has also increased the amount of data that needs to be processed in the power grid. The traditional centralized cloud computing model can no longer meet the needs of rapid data processing, and a new model is urgently needed to solve t

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29

Wang, Hong Bo, and Zhong Wei Wang. "How to Realize the Heterogeneous Data Sharing through Grid Technology." Advanced Materials Research 314-316 (August 2011): 2037–41. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.2037.

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Grid technology has emerged as an important new field, distinguished from conventional distributed computing by its focus on large-scale resource sharing, innovative applications, and, in some cases, high-performance orientation. To date, grid technology has been effectively put to use in academic and research institutions to power high-performance and technical computing applications. Grid technology is increasingly being viewed as the next phase of distributed technology. Built on pervasive Internet standards, grid technology enables organizations to share computing and information resources

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30

Aloisio, Giovanni, Massimo Cafaro, Euro Blasi, and Italo Epicoco. "The Grid Resource Broker, A Ubiquitous Grid Computing Framework." Scientific Programming 10, no. 2 (2002): 113–19. http://dx.doi.org/10.1155/2002/969307.

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Portals to computational/data grids provide the scientific community with a friendly environment in order to solve large-scale computational problems. The Grid Resource Broker (GRB) is a grid portal that allows trusted users to create and handle computational/data grids on the fly exploiting a simple and friendly web-based GUI. GRB provides location-transparent secure access to Globus services, automatic discovery of resources matching the user's criteria, selection and scheduling on behalf of the user. Moreover, users are not required to learn Globus and they do not need to write specialized

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31

Hosam, AlHakami Hamza Aldabbas and Tariq Alwada'n. "COMPARISON BETWEEN CLOUD AND GRID COMPUTING: REVIEW PAPER." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 2, August (2018): 01–21. https://doi.org/10.5281/zenodo.1437765.

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Cloud computing is the most recent announced technology that has been launched on the network world. Clouds are considered as a new generation of Grid computing. Clouds consist of data centres which are owned by the same institute. The homogeneity within each data centre in the infrastructure is the main feature for the cloud computing compared to grid computing. This paper provides a definition for the cloud, it discusses many aspects of Cloud Computing, and describes architectures for the cloud (by looking at Amazon’s application (GrepTheWeb)) and how its cost definition differs from t

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32

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 o

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33

Ganguly, Ayan, Anusha Nath, and Ishita Banerjee. "Interplay of Mobile Computing and Smart Grid Manuscript: Enhancing Energy Efficiency and Management." International Journal of Engineering Research and Applications 14, no. 7 (2024): 64–69. http://dx.doi.org/10.9790/9622-14076469.

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This manuscript explores the symbiotic relationship between mobile computing and smart grid technologies, elucidating their combined potential to revolutionize energy efficiency and management. Mobile computing, with its ubiquitous presence and advanced capabilities, offers novel avenues for optimizing smart grid operations, facilitating real-time monitoring, control, and communication. The integration of these technologies holds promise for fostering a more resilient, reliable, and sustainable energy infrastructure. Through a comprehensive review and analysis, this paper delves into the syner

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34

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

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35

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

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36

XHAFA, FATOS, JAVIER CARRETERO, LEONARD BAROLLI, and ARJAN DURRESI. "REQUIREMENTS FOR AN EVENT-BASED SIMULATION PACKAGE FOR GRID SYSTEMS." Journal of Interconnection Networks 08, no. 02 (2007): 163–78. http://dx.doi.org/10.1142/s0219265907001965.

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In this paper we present a study on the requirements for the design and implementation of simulation packages for Grid systems. Grids are emerging as new distributed computing systems whose main objective is to manage and allocate geographically distributed computing resources to applications and users in an efficient and transparent manner. Grid systems are at present very difficult and complex to use for experimental studies of large-scale distributed applications. Although the field of simulation of distributed computing systems is mature, recent developments in large-scale distributed syst

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37

Muntean, Ioan Lucian, and Alexandra Ioana Badiu. "Application Plugins for Distributed Simulations on the Grid." International Journal of Computers Communications & Control 6, no. 4 (2011): 701. http://dx.doi.org/10.15837/ijccc.2011.4.2096.

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Computing grids are today still underexploited by scientific computing communities. The main reasons for this are, on the one hand, the complexity and variety of tools and services existent in the grid middleware ecosystem, and, on the other hand, the complexity of the development of applications capable to exploit the grids. We address in this work the challenge of developing grid applications that keep pace with the rapid evolution of grid middleware. For that, we propose an approach based on plugins for grid applications that encapsulate a set of commonly used type of grid operations. We fu

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38

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 sw

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39

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

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40

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

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41

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

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42

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

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43

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

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44

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

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45

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 (2003): 27–32. http://dx.doi.org/10.1145/773056.773062.

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46

Yang, Guangwen, Hai Jin, Minglu Li, et al. "Grid Computing in China." Journal of Grid Computing 2, no. 2 (2004): 193–206. http://dx.doi.org/10.1007/s10723-004-4201-2.

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47

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

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48

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

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49

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

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50

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

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