Artículos de revistas sobre el tema "MAPREDUCE FRAMEWORKS"
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Ajibade Lukuman Saheed, Abu Bakar Kamalrulnizam, Ahmed Aliyu y Tasneem Darwish. "Latency-aware Straggler Mitigation Strategy in Hadoop MapReduce Framework: A Review". Systematic Literature Review and Meta-Analysis Journal 2, n.º 2 (19 de octubre de 2021): 53–60. http://dx.doi.org/10.54480/slrm.v2i2.19.
Texto completoDarapaneni, Chandra Sekhar, Bobba Basaveswara Rao, Boggavarapu Bhanu Venkata Satya Vara Prasad y Suneetha Bulla. "An Analytical Performance Evaluation of MapReduce Model Using Transient Queuing Model". Advances in Modelling and Analysis B 64, n.º 1-4 (31 de diciembre de 2021): 46–53. http://dx.doi.org/10.18280/ama_b.641-407.
Texto completoKang, Sol Ji, Sang Yeon Lee y Keon Myung Lee. "Performance Comparison of OpenMP, MPI, and MapReduce in Practical Problems". Advances in Multimedia 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/575687.
Texto completoSrirama, Satish Narayana, Oleg Batrashev, Pelle Jakovits y Eero Vainikko. "Scalability of Parallel Scientific Applications on the Cloud". Scientific Programming 19, n.º 2-3 (2011): 91–105. http://dx.doi.org/10.1155/2011/361854.
Texto completoSenthilkumar, M. y P. Ilango. "A Survey on Job Scheduling in Big Data". Cybernetics and Information Technologies 16, n.º 3 (1 de septiembre de 2016): 35–51. http://dx.doi.org/10.1515/cait-2016-0033.
Texto completoAdornes, Daniel, Dalvan Griebler, Cleverson Ledur y Luiz Gustavo Fernandes. "Coding Productivity in MapReduce Applications for Distributed and Shared Memory Architectures". International Journal of Software Engineering and Knowledge Engineering 25, n.º 09n10 (noviembre de 2015): 1739–41. http://dx.doi.org/10.1142/s0218194015710096.
Texto completoSong, Minjae, Hyunsuk Oh, Seungmin Seo y Kyong-Ho Lee. "Map-Side Join Processing of SPARQL Queries Based on Abstract RDF Data Filtering". Journal of Database Management 30, n.º 1 (enero de 2019): 22–40. http://dx.doi.org/10.4018/jdm.2019010102.
Texto completoThabtah, Fadi, Suhel Hammoud y Hussein Abdel-Jaber. "Parallel Associative Classification Data Mining Frameworks Based MapReduce". Parallel Processing Letters 25, n.º 02 (junio de 2015): 1550002. http://dx.doi.org/10.1142/s0129626415500024.
Texto completoGoncalves, Carlos, Luis Assuncao y Jose C. Cunha. "Flexible MapReduce Workflows for Cloud Data Analytics". International Journal of Grid and High Performance Computing 5, n.º 4 (octubre de 2013): 48–64. http://dx.doi.org/10.4018/ijghpc.2013100104.
Texto completoEsposito, Christian y Massimo Ficco. "Recent Developments on Security and Reliability in Large-Scale Data Processing with MapReduce". International Journal of Data Warehousing and Mining 12, n.º 1 (enero de 2016): 49–68. http://dx.doi.org/10.4018/ijdwm.2016010104.
Texto completoAl-Absi, Ahmed Abdulhakim, Najeeb Abbas Al-Sammarraie, Wael Mohamed Shaher Yafooz y Dae-Ki Kang. "Parallel MapReduce: Maximizing Cloud Resource Utilization and Performance Improvement Using Parallel Execution Strategies". BioMed Research International 2018 (17 de octubre de 2018): 1–17. http://dx.doi.org/10.1155/2018/7501042.
Texto completoFerreira, Tharso, Antonio Espinosa, Juan Carlos Moure y Porfidio Hernández. "An Optimization for MapReduce Frameworks in Multi-core Architectures". Procedia Computer Science 18 (2013): 2587–90. http://dx.doi.org/10.1016/j.procs.2013.05.446.
Texto completoMarynowski, João Eugenio, Altair Olivo Santin y Andrey Ricardo Pimentel. "Method for testing the fault tolerance of MapReduce frameworks". Computer Networks 86 (julio de 2015): 1–13. http://dx.doi.org/10.1016/j.comnet.2015.04.009.
Texto completoWeipeng, Jing, Tian Dongxue, Chen Guangsheng y Li Yiyuan. "Research on Improved Method of Storage and Query of Large-Scale Remote Sensing Images". Journal of Database Management 29, n.º 3 (julio de 2018): 1–16. http://dx.doi.org/10.4018/jdm.2018070101.
Texto completoDiarra, Mamadou y Telesphore B. Tiendrebeogo. "Performance Evaluation of Big Data Processing of Cloak-Reduce". International Journal of Distributed and Parallel systems 13, n.º 1 (31 de enero de 2022): 13–22. http://dx.doi.org/10.5121/ijdps.2022.13102.
Texto completoSaundatt, Sujay i. "Databases In The 21’st Century". International Journal for Research in Applied Science and Engineering Technology 10, n.º 6 (30 de junio de 2022): 1440–44. http://dx.doi.org/10.22214/ijraset.2022.43982.
Texto completoMemishi, Bunjamin, María S. Pérez y Gabriel Antoniu. "Feedback-Based Resource Allocation in MapReduce-Based Systems". Scientific Programming 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/7241928.
Texto completoAstsatryan, Hrachya, Aram Kocharyan, Daniel Hagimont y Arthur Lalayan. "Performance Optimization System for Hadoop and Spark Frameworks". Cybernetics and Information Technologies 20, n.º 6 (1 de diciembre de 2020): 5–17. http://dx.doi.org/10.2478/cait-2020-0056.
Texto completoKhalid, Madiha y Muhammad Murtaza Yousaf. "A Comparative Analysis of Big Data Frameworks: An Adoption Perspective". Applied Sciences 11, n.º 22 (22 de noviembre de 2021): 11033. http://dx.doi.org/10.3390/app112211033.
Texto completoYang, Wen Chuan, Jiang Yong Wang y Hao Yu Zeng. "A MapReduce Telecommunication Data Center Analysis Model". Advanced Materials Research 734-737 (agosto de 2013): 2863–66. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.2863.
Texto completoTiwari, Jyotindra, Dr Mahesh Pawar y Dr Anjajana Pandey. "A Survey on Accelerated Mapreduce for Hadoop". Oriental journal of computer science and technology 10, n.º 3 (3 de julio de 2017): 597–602. http://dx.doi.org/10.13005/ojcst/10.03.07.
Texto completoAzhir, Elham, Mehdi Hosseinzadeh, Faheem Khan y Amir Mosavi. "Performance Evaluation of Query Plan Recommendation with Apache Hadoop and Apache Spark". Mathematics 10, n.º 19 (26 de septiembre de 2022): 3517. http://dx.doi.org/10.3390/math10193517.
Texto completoJo, Junghee y Kang-Woo Lee. "High-Performance Geospatial Big Data Processing System Based on MapReduce". ISPRS International Journal of Geo-Information 7, n.º 10 (6 de octubre de 2018): 399. http://dx.doi.org/10.3390/ijgi7100399.
Texto completoYang, Wen Chuan, He Chen y Qing Yi Qu. "Research of a MapReduce Model to Process the Traffic Big Data". Applied Mechanics and Materials 548-549 (abril de 2014): 1853–56. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.1853.
Texto completoTeffer, Dean, Ravi Srinivasan y Joydeep Ghosh. "AdaHash: hashing-based scalable, adaptive hierarchical clustering of streaming data on Mapreduce frameworks". International Journal of Data Science and Analytics 8, n.º 3 (1 de agosto de 2018): 257–67. http://dx.doi.org/10.1007/s41060-018-0145-7.
Texto completoKaramolegkos, Panagiotis, Argyro Mavrogiorgou, Athanasios Kiourtis y Dimosthenis Kyriazis. "EverAnalyzer: A Self-Adjustable Big Data Management Platform Exploiting the Hadoop Ecosystem". Information 14, n.º 2 (3 de febrero de 2023): 93. http://dx.doi.org/10.3390/info14020093.
Texto completoYang, Wen Chuan, Rui Li y Zhi Dong Shang. "A MapReduce Model to Process Massive Switching Center Data Set". Applied Mechanics and Materials 548-549 (abril de 2014): 1557–60. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.1557.
Texto completoSaadoon, Muntadher, Siti Hafizah Ab Hamid, Hazrina Sofian, Hamza Altarturi, Nur Nasuha, Zati Hakim Azizul, Asmiza Abdul Sani y Adeleh Asemi. "Experimental Analysis in Hadoop MapReduce: A Closer Look at Fault Detection and Recovery Techniques". Sensors 21, n.º 11 (31 de mayo de 2021): 3799. http://dx.doi.org/10.3390/s21113799.
Texto completoAstsatryan, Hrachya, Arthur Lalayan, Aram Kocharyan y Daniel Hagimont. "Performance-efficient Recommendation and Prediction Service for Big Data frameworks focusing on Data Compression and In-memory Data Storage Indicators". Scalable Computing: Practice and Experience 22, n.º 4 (26 de noviembre de 2021): 401–12. http://dx.doi.org/10.12694/scpe.v22i4.1945.
Texto completoAnand, L., K. Senthilkumar, N. Arivazhagan y V. Sivakumar. "Analysis for guaranteeing performance in map reduce systems with hadoop and R". International Journal of Engineering & Technology 7, n.º 3.3 (8 de junio de 2018): 445. http://dx.doi.org/10.14419/ijet.v7i2.33.14207.
Texto completoYang, Wen Chuan, Guang Jie Lin y Jiang Yong Wang. "A MapReduce Clone Car Identification Model over Traffic Data Stream". Applied Mechanics and Materials 346 (agosto de 2013): 117–22. http://dx.doi.org/10.4028/www.scientific.net/amm.346.117.
Texto completoFernández, Alberto, Sara del Río, Victoria López, Abdullah Bawakid, María J. del Jesus, José M. Benítez y Francisco Herrera. "Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks". Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4, n.º 5 (septiembre de 2014): 380–409. http://dx.doi.org/10.1002/widm.1134.
Texto completoDhasaratham, M. y R. P. Singh. "A Survey on Data Anonymization Using Mapreduce on Cloud with Scalable Two-Phase Top-Down Approach". International Journal of Engineering & Technology 7, n.º 2.20 (18 de abril de 2018): 254. http://dx.doi.org/10.14419/ijet.v7i2.20.14773.
Texto completoRahman, Md Wasi-ur, Nusrat Sharmin Islam, Xiaoyi Lu, Dipti Shankar y Dhabaleswar K. (DK) Panda. "MR-Advisor: A comprehensive tuning, profiling, and prediction tool for MapReduce execution frameworks on HPC clusters". Journal of Parallel and Distributed Computing 120 (octubre de 2018): 237–50. http://dx.doi.org/10.1016/j.jpdc.2017.11.004.
Texto completoRavindra, Padmashree y Kemafor Anyanwu. "Nesting Strategies for Enabling Nimble MapReduce Dataflows for Large RDF Data". International Journal on Semantic Web and Information Systems 10, n.º 1 (enero de 2014): 1–26. http://dx.doi.org/10.4018/ijswis.2014010101.
Texto completoZheng, Kun, Kang Zheng, Falin Fang, Hong Yao, Yunlei Yi y Deze Zeng. "Real-Time Massive Vector Field Data Processing in Edge Computing". Sensors 19, n.º 11 (7 de junio de 2019): 2602. http://dx.doi.org/10.3390/s19112602.
Texto completoDey, Tonmoy, Yixin Chen y Alan Kuhnle. "DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 4 (26 de junio de 2023): 3941–48. http://dx.doi.org/10.1609/aaai.v37i4.25508.
Texto completoRagala, Ramesh y G. Bharadwaja Kumar. "Recursive Block LU Decomposition based ELM in Apache Spark". Journal of Intelligent & Fuzzy Systems 39, n.º 6 (4 de diciembre de 2020): 8205–15. http://dx.doi.org/10.3233/jifs-189141.
Texto completoHung, Che-Lun y Guan-Jie Hua. "Cloud Computing for Protein-Ligand Binding Site Comparison". BioMed Research International 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/170356.
Texto completoCândido, Paulo Gustavo Lopes, Jonathan Andrade Silva, Elaine Ribeiro Faria y Murilo Coelho Naldi. "Optimization Algorithms for Scalable Stream Batch Clustering with k Estimation". Applied Sciences 12, n.º 13 (25 de junio de 2022): 6464. http://dx.doi.org/10.3390/app12136464.
Texto completoJi, Yunhong, Yunpeng Chai, Xuan Zhou, Lipeng Ren y Yajie Qin. "Smart Intra-query Fault Tolerance for Massive Parallel Processing Databases". Data Science and Engineering 5, n.º 1 (19 de diciembre de 2019): 65–79. http://dx.doi.org/10.1007/s41019-019-00114-z.
Texto completoPal, Gautam, Gangmin Li y Katie Atkinson. "Multi-Agent Big-Data Lambda Architecture Model for E-Commerce Analytics". Data 3, n.º 4 (1 de diciembre de 2018): 58. http://dx.doi.org/10.3390/data3040058.
Texto completoAkritidis, Leonidas, Athanasios Fevgas, Panagiota Tsompanopoulou y Panayiotis Bozanis. "Evaluating the Effects of Modern Storage Devices on the Efficiency of Parallel Machine Learning Algorithms". International Journal on Artificial Intelligence Tools 29, n.º 03n04 (junio de 2020): 2060008. http://dx.doi.org/10.1142/s0218213020600088.
Texto completoWang, Zhong, Bo Suo y Zhuo Wang. "MRScheduling: An Effective Technique for Multi-Tenant Meeting Deadline in MapReduce". Applied Mechanics and Materials 644-650 (septiembre de 2014): 4482–86. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.4482.
Texto completoDavid Odera. "A survey on techniques, methods and security approaches in big data healthcare". Global Journal of Engineering and Technology Advances 14, n.º 2 (28 de febrero de 2023): 093–106. http://dx.doi.org/10.30574/gjeta.2023.14.2.0035.
Texto completoGorawski, Marcin y Michal Lorek. "Efficient storage, retrieval and analysis of poker hands: An adaptive data framework". International Journal of Applied Mathematics and Computer Science 27, n.º 4 (20 de diciembre de 2017): 713–26. http://dx.doi.org/10.1515/amcs-2017-0049.
Texto completoVidisha Sharma, Satish Kumar Alaria. "Improving the Performance of Heterogeneous Hadoop Clusters Using Map Reduce". International Journal on Recent and Innovation Trends in Computing and Communication 7, n.º 2 (28 de febrero de 2019): 11–17. http://dx.doi.org/10.17762/ijritcc.v7i2.5225.
Texto completoZhang, Guigang, Chao Li, Yong Zhang y Chunxiao Xing. "A Semantic++ MapReduce Parallel Programming Model". International Journal of Semantic Computing 08, n.º 03 (septiembre de 2014): 279–99. http://dx.doi.org/10.1142/s1793351x14400091.
Texto completoBansal, Ajay Kumar, Manmohan Sharma y Ashu Gupta. "Optimizing resources to mitigate stragglers through virtualization in run time". Journal of University of Shanghai for Science and Technology 23, n.º 08 (31 de agosto de 2021): 931–35. http://dx.doi.org/10.51201/jusst/21/08486.
Texto completoGao, Tilei, Ming Yang, Rong Jiang, Yu Li y 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.
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