Artykuły w czasopismach na temat „MapReduce programming model”
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Zhang, Guigang, Chao Li, Yong Zhang i Chunxiao Xing. "A Semantic++ MapReduce Parallel Programming Model". International Journal of Semantic Computing 08, nr 03 (wrzesień 2014): 279–99. http://dx.doi.org/10.1142/s1793351x14400091.
Pełny tekst źródłaLämmel, Ralf. "Google’s MapReduce programming model — Revisited". Science of Computer Programming 70, nr 1 (styczeń 2008): 1–30. http://dx.doi.org/10.1016/j.scico.2007.07.001.
Pełny tekst źródłaRetnowo, Murti. "Syncronize Data Using MapReduceModel Programming". International Journal of Engineering Technology and Natural Sciences 3, nr 2 (31.12.2021): 82–88. http://dx.doi.org/10.46923/ijets.v3i2.140.
Pełny tekst źródłaGarg, Uttama. "Data Analytic Models That Redress the Limitations of MapReduce". International Journal of Web-Based Learning and Teaching Technologies 16, nr 6 (listopad 2021): 1–15. http://dx.doi.org/10.4018/ijwltt.20211101.oa7.
Pełny tekst źródłaGao, Tilei, Ming Yang, Rong Jiang, Yu Li i Yao Yao. "Research on Computing Efficiency of MapReduce in Big Data Environment". ITM Web of Conferences 26 (2019): 03002. http://dx.doi.org/10.1051/itmconf/20192603002.
Pełny tekst źródłaSiddesh, G. M., Kavya Suresh, K. Y. Madhuri, Madhushree Nijagal, B. R. Rakshitha i K. G. Srinivasa. "Optimizing Crawler4j using MapReduce Programming Model". Journal of The Institution of Engineers (India): Series B 98, nr 3 (12.08.2016): 329–36. http://dx.doi.org/10.1007/s40031-016-0267-z.
Pełny tekst źródłaZhang, Weidong, Boxin He, Yifeng Chen i Qifei Zhang. "GMR: graph-compatible MapReduce programming model". Multimedia Tools and Applications 78, nr 1 (23.08.2017): 457–75. http://dx.doi.org/10.1007/s11042-017-5102-2.
Pełny tekst źródłaDurairaj, M., i T. S. Poornappriya. "Importance of MapReduce for Big Data Applications: A Survey". Asian Journal of Computer Science and Technology 7, nr 1 (5.05.2018): 112–18. http://dx.doi.org/10.51983/ajcst-2018.7.1.1817.
Pełny tekst źródłaRokhman, Nur, i Amelia Nursanti. "The MapReduce Model on Cascading Platform for Frequent Itemset Mining". IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 12, nr 2 (31.07.2018): 149. http://dx.doi.org/10.22146/ijccs.34102.
Pełny tekst źródłaWang, Changjian, Yuxing Peng, Mingxing Tang, Dongsheng Li, Shanshan Li i Pengfei You. "An Efficient MapReduce Computing Model for Imprecise Applications". International Journal of Web Services Research 13, nr 3 (lipiec 2016): 46–63. http://dx.doi.org/10.4018/ijwsr.2016070103.
Pełny tekst źródłaTahsir Ahmed Munna, Md, Shaikh Muhammad Allayear, Mirza Mohtashim Alam, Sheikh Shah Mohammad Motiur Rahman, Md Samadur Rahman i M. Mesbahuddin Sarker. "Simplified Mapreduce Mechanism for Large Scale Data Processing". International Journal of Engineering & Technology 7, nr 3.8 (7.07.2018): 16. http://dx.doi.org/10.14419/ijet.v7i3.8.15211.
Pełny tekst źródłaSun, Han Lin. "An Improved MapReduce Model for Computation-Intensive Task". Advanced Materials Research 756-759 (wrzesień 2013): 1701–5. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1701.
Pełny tekst źródłaZhang, Weidong, Boxin He, Yifeng Chen i Qifei Zhang. "Correction to: GMR: graph-compatible MapReduce programming model". Multimedia Tools and Applications 78, nr 1 (17.10.2017): 477. http://dx.doi.org/10.1007/s11042-017-5273-x.
Pełny tekst źródłaZheng, Feifeng, Zhaojie Wang, Yinfeng Xu i Ming Liu. "Heuristic Algorithms for MapReduce Scheduling Problem with Open-Map Task and Series-Reduce Tasks". Scientific Programming 2020 (15.07.2020): 1–10. http://dx.doi.org/10.1155/2020/8810215.
Pełny tekst źródłaKavitha, C., S. R. Srividhya, Wen-Cheng Lai i Vinodhini Mani. "IMapC: Inner MAPping Combiner to Enhance the Performance of MapReduce in Hadoop". Electronics 11, nr 10 (17.05.2022): 1599. http://dx.doi.org/10.3390/electronics11101599.
Pełny tekst źródłaWei, Fang, Pan Wubin i Cui Zhiming. "View of MapReduce: Programming model, methods, and its applications". IETE Technical Review 29, nr 5 (2012): 380. http://dx.doi.org/10.4103/0256-4602.103168.
Pełny tekst źródłaLiu, Hanpeng, Wuqi Gao i Junmin Luo. "Research on Intelligentization of Cloud Computing Programs Based on Self-awareness". International Journal of Advanced Network, Monitoring and Controls 8, nr 2 (1.06.2023): 89–98. http://dx.doi.org/10.2478/ijanmc-2023-0060.
Pełny tekst źródłaAl-Badarneh, Amer, Amr Mohammad i Salah Harb. "A Survey on MapReduce Implementations". International Journal of Cloud Applications and Computing 6, nr 1 (styczeń 2016): 59–87. http://dx.doi.org/10.4018/ijcac.2016010104.
Pełny tekst źródłaAmshakala, K., R. Nedunchezhian i M. Rajalakshmi. "Extracting Functional Dependencies in Large Datasets Using MapReduce Model". International Journal of Intelligent Information Technologies 10, nr 3 (lipiec 2014): 19–35. http://dx.doi.org/10.4018/ijiit.2014070102.
Pełny tekst źródłaSontakke, Vaishali, i Dayananda R. B. "Memory aware optimized Hadoop MapReduce model in cloud computing environment". IAES International Journal of Artificial Intelligence (IJ-AI) 12, nr 3 (1.09.2023): 1270. http://dx.doi.org/10.11591/ijai.v12.i3.pp1270-1280.
Pełny tekst źródłaMeng, Jian Liang, i Da Wei Li. "Improve and Optimize Query Recommendation System by MST Algorithm and its MapReduce Implementation". Applied Mechanics and Materials 701-702 (grudzień 2014): 50–53. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.50.
Pełny tekst źródłaLi, Ren, Haibo Hu, Heng Li, Yunsong Wu i Jianxi Yang. "MapReduce Parallel Programming Model: A State-of-the-Art Survey". International Journal of Parallel Programming 44, nr 4 (29.10.2015): 832–66. http://dx.doi.org/10.1007/s10766-015-0395-0.
Pełny tekst źródłaJing, Weipeng, Danyu Tong, Yangang Wang, Jingyuan Wang, Yaqiu Liu i Peng Zhao. "MaMR: High-performance MapReduce programming model for material cloud applications". Computer Physics Communications 211 (luty 2017): 79–87. http://dx.doi.org/10.1016/j.cpc.2016.07.015.
Pełny tekst źródłaQIN, Jun, Yanyan SONG i Ping ZONG. "Study of Task Scheduling Strategy based on Trustworthiness". International Journal of Distributed and Parallel systems 12, nr 05 (30.09.2021): 01–09. http://dx.doi.org/10.5121/ijdps.2021.12501.
Pełny tekst źródłaPark, Jong-Hyuk, Hwa-Young Jeong, Young-Sik Jeong i Min Choi. "REST-MapReduce: An Integrated Interface but Differentiated Service". Journal of Applied Mathematics 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/170723.
Pełny tekst źródłaEsposito, Christian, i Massimo Ficco. "Recent Developments on Security and Reliability in Large-Scale Data Processing with MapReduce". International Journal of Data Warehousing and Mining 12, nr 1 (styczeń 2016): 49–68. http://dx.doi.org/10.4018/ijdwm.2016010104.
Pełny tekst źródłaKhudhair, Muslim Mohsin, Adil AL-Rammahi i Furkan Rabee. "An innovativefractal architecture model for implementing MapReduce in an open multiprocessing parallel environment". Indonesian Journal of Electrical Engineering and Computer Science 30, nr 2 (1.05.2023): 1059. http://dx.doi.org/10.11591/ijeecs.v30.i2.pp1059-1067.
Pełny tekst źródłaNatesan, P., V. E. Sathishkumar, Sandeep Kumar Mathivanan, Maheshwari Venkatasen, Prabhu Jayagopal i Shaikh Muhammad Allayear. "A Distributed Framework for Predictive Analytics Using Big Data and MapReduce Parallel Programming". Mathematical Problems in Engineering 2023 (1.02.2023): 1–10. http://dx.doi.org/10.1155/2023/6048891.
Pełny tekst źródłaCHEN, Jirong, i Jiajin LE. "Programming model based on MapReduce for importing big table into HDFS". Journal of Computer Applications 33, nr 9 (7.11.2013): 2486–89. http://dx.doi.org/10.3724/sp.j.1087.2013.02486.
Pełny tekst źródłaZhang, Fan, i Qutaibah M. Malluhi. "A flexible and concurrent MapReduce programming model for shared-data applications". Qatar Foundation Annual Research Forum Proceedings, nr 2012 (październik 2012): CSO10. http://dx.doi.org/10.5339/qfarf.2012.cso10.
Pełny tekst źródłaGao, Yufei, Yanjie Zhou, Bing Zhou, Lei Shi i Jiacai Zhang. "Handling Data Skew in MapReduce Cluster by Using Partition Tuning". Journal of Healthcare Engineering 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/1425102.
Pełny tekst źródłaKhudhair, Muslim Mohsin, Furkan Rabee i Adil AL_Rammahi. "New efficient fractal models for MapReduce in OpenMP parallel environment". Bulletin of Electrical Engineering and Informatics 12, nr 4 (1.08.2023): 2313–27. http://dx.doi.org/10.11591/beei.v12i4.4977.
Pełny tekst źródłaKhudhair, Muslim Mohsin, Furkan Rabee i Adil AL_Rammahi. "New efficient fractal models for MapReduce in OpenMP parallel environment". Bulletin of Electrical Engineering and Informatics 12, nr 4 (1.08.2023): 2313–27. http://dx.doi.org/10.11591/eei.v12i4.4977.
Pełny tekst źródłaWang, Xiao Feng. "The Application of Hadoop in the Campus Cloud Computing System". Applied Mechanics and Materials 543-547 (marzec 2014): 3092–95. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3092.
Pełny tekst źródłaHe, Yuheng, Jin Qian, Juanjie Zhang i Renzhe Zhang. "Word frequency statistics based on MapReduce on serverless platforms". Applied and Computational Engineering 68, nr 1 (31.07.2024): 356–67. http://dx.doi.org/10.54254/2755-2721/68/20241536.
Pełny tekst źródłaWang, Peng, Jia Nan Wang, Ji Ci Ba i Yu Tan. "Treatment and Research of Massive Data Mining Based on Cloud Computing". Advanced Materials Research 765-767 (wrzesień 2013): 941–44. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.941.
Pełny tekst źródłaChandra Sekhar Reddy, L., i Dr D. Murali. "YouTube: big data analytics using Hadoop and map reduce". International Journal of Engineering & Technology 7, nr 3.29 (24.08.2018): 12. http://dx.doi.org/10.14419/ijet.v7i3.29.18451.
Pełny tekst źródłaMuhammad, Sharafadeen, Ibrahim Kabiru Dahiru, Ahmad Abubakar i Muhammad Sanusi Ibrahim. "MODELING OF SYSTEMS UNDER CLOUD ENVIRONMENT". ASEAN Engineering Journal 11, nr 3 (21.04.2021): 190–98. http://dx.doi.org/10.11113/aej.v11.17054.
Pełny tekst źródłaGévay, Gábor E., Juan Soto i Volker Markl. "Handling Iterations in Distributed Dataflow Systems". ACM Computing Surveys 54, nr 9 (31.12.2022): 1–38. http://dx.doi.org/10.1145/3477602.
Pełny tekst źródłaWu, Yao, Long Zheng, Brian Heilig i Guang R. Gao. "HAMR: A dataflow-based real-time in-memory cluster computing engine". International Journal of High Performance Computing Applications 31, nr 5 (10.10.2016): 361–74. http://dx.doi.org/10.1177/1094342016672080.
Pełny tekst źródłaGonzález-Vélez, Horacio, i Maryam Kontagora. "Performance evaluation of MapReduce using full virtualisation on a departmental cloud". International Journal of Applied Mathematics and Computer Science 21, nr 2 (1.06.2011): 275–84. http://dx.doi.org/10.2478/v10006-011-0020-3.
Pełny tekst źródłaDong, Li Li, Yu Jie Zhu i Xiang Zhang. "A Microblogging Opinion Leader Recognition Algorithm Based on MapReduce". Applied Mechanics and Materials 571-572 (czerwiec 2014): 410–15. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.410.
Pełny tekst źródłaLathar, Pankaj, i K. G. Srinivasa. "A Study on the Performance and Scalability of Apache Flink Over Hadoop MapReduce". International Journal of Fog Computing 2, nr 1 (styczeń 2019): 61–73. http://dx.doi.org/10.4018/ijfc.2019010103.
Pełny tekst źródłaAnantharaman, Padmanathan, i H. V. Ramakrishan. "Data Mining Itemset of Big Data Using Pre-Processing Based on Mapreduce FrameWork with ETL Tools". APTIKOM Journal on Computer Science and Information Technologies 2, nr 2 (1.07.2017): 57–62. http://dx.doi.org/10.11591/aptikom.j.csit.103.
Pełny tekst źródłaLi, Jianjiang, Yajun Liu, Jian Pan, Peng Zhang, Wei Chen i Lizhe Wang. "Map-Balance-Reduce: An improved parallel programming model for load balancing of MapReduce". Future Generation Computer Systems 105 (kwiecień 2020): 993–1001. http://dx.doi.org/10.1016/j.future.2017.03.013.
Pełny tekst źródłaErritali, Mohammed, Abderrahim Beni-Hssane, Marouane Birjali i Youness Madani. "An Approach of Semantic Similarity Measure between Documents Based on Big Data". International Journal of Electrical and Computer Engineering (IJECE) 6, nr 5 (1.10.2016): 2454. http://dx.doi.org/10.11591/ijece.v6i5.10853.
Pełny tekst źródłaErritali, Mohammed, Abderrahim Beni-Hssane, Marouane Birjali i Youness Madani. "An Approach of Semantic Similarity Measure between Documents Based on Big Data". International Journal of Electrical and Computer Engineering (IJECE) 6, nr 5 (1.10.2016): 2454. http://dx.doi.org/10.11591/ijece.v6i5.pp2454-2461.
Pełny tekst źródłaKang, Minsu, i Sang-Hoon Cho. "RHadoop-based Algorithm Utilizing QR Factorization for Multiple Linear Regression Analysis". Korean Data Analysis Society 25, nr 1 (28.02.2023): 99–113. http://dx.doi.org/10.37727/jkdas.2022.25.1.99.
Pełny tekst źródłaLorenzo, Jorge González, José Emilio Labra Gayo i José María Álvarez Rodríguez. "A MapReduce Implementation of the Spreading Activation Algorithm for Processing Large Knowledge Bases Based on Semantic Networks". International Journal of Knowledge Society Research 3, nr 4 (październik 2012): 47–56. http://dx.doi.org/10.4018/jksr.2012100105.
Pełny tekst źródłaZou, Hongpeng. "MapReduce Algorithm on a Serverless Platform". Highlights in Science, Engineering and Technology 94 (26.04.2024): 604–10. http://dx.doi.org/10.54097/9xv7vx88.
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