Search Results - "Parallel and distributed programming model"

MapReduce: an infrastructure review and research insights

Authors: Maleki N. Rahmani A. M. Conti M.

Source: The Journal of Supercomputing. 75:6934-7002

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Hadoop, MapReduce paradigm, Parallel and distributed programming model, Systematic review

Access URL: https://dblp.uni-trier.de/db/journals/tjs/tjs75.html#MalekiRC19
https://doi.org/10.1007/s11227-019-02907-5
https://link.springer.com/article/10.1007/s11227-019-02907-5

Comparative Analysis of Skew-Join Strategies for Large-Scale Datasets with MapReduce and Spark.

Authors: Phan, Anh-Cang Phan, Thuong-Cang Cao, Hung-Phi et al.

Source: Applied Sciences (2076-3417); Jul2022, Vol. 12 Issue 13, pN.PAG-N.PAG, 20p

Subject Terms: BIG data, PARALLEL programming, COMPARATIVE studies, JOINING processes, ELECTRONIC data processing, MATHEMATICAL models

Unite and conquer approach for high scale numerical computing.

Authors: Emad, Nahid Petiton, Serge

Source: Journal of Computational Science. May2016, Vol. 14, p5-14. 10p.

Subject Terms: High performance computing, Computer systems, Linear systems, Eigenvalues, Large scale systems, Fault-tolerant computing

Real-time geo-decisional system for risk and disaster management in Madagascar.

Authors: Rakotoarison, Tsiorinantenaina René Hajalalaina, Aimé Richard

Source: Reports on Geodesy & Geoinformatics; Jun2025, Vol. 119 Issue 1, p7-13, 7p

Subject Terms: DATABASES, EMERGENCY management, DECISION support systems, DATA integration, WEB-based user interfaces

Geographic Terms: MADAGASCAR

A Review on Large-Scale Data Processing with Parallel and Distributed Randomized Extreme Learning Machine Neural Networks.

Authors: Gelvez-Almeida, Elkin Mora, Marco Barrientos, Ricardo J. et al.

Source: Mathematical & Computational Applications; Jun2024, Vol. 29 Issue 3, p40, 33p

Subject Terms: MACHINE learning, FEEDFORWARD neural networks, ARTIFICIAL neural networks, ELECTRONIC data processing, PARALLEL processing, LINEAR systems

Performance Improvement of MapReduce Framework by Identifying Slow TaskTrackers in Heterogeneous Hadoop Cluster.

Authors: Naik, Nenavath Srinivas Negi, Atul Sastry, V. N.

Source: Solar Sketching; 2016, p465-473, 9p

Tolérance aux fautes et reconfiguration dynamique pour les applications distribuées à grande échelle

Additional Titles: Fault tolerance and dynamic reconfiguration for large scale distributed applications

Authors: Besseron, Xavier

Index Terms: Parallel computing, Grid computing, Dynamic adaptation and reconfiguration, Fault tolerance, Data flow graph, info:eu-repo/semantics/doctoralThesis

URL: http://orbilu.uni.lu/handle/10993/39961
http://orbilu.uni.lu/bitstream/10993/39961/2/soutenance.pdf
http://orbilu.uni.lu/bitstream/10993/39961/1/these.pdf

An innovative fractal architecture model for implementing MapReduce in an open multiprocessing parallel environment.

Authors: Khudhair, Muslim Mohsin AL-Rammahi, Adil Rabee, Furkan

Source: Indonesian Journal of Electrical Engineering & Computer Science; May2023, Vol. 30 Issue 2, p1059-1067, 9p

Subject Terms: PARALLEL processing, CLOUD computing, ELECTRONIC data processing, CUBES, COMPUTERS

Astronomical big data processing using machine learning: A comprehensive review.

Authors: Sen, Snigdha Agarwal, Sonali Chakraborty, Pavan et al.

Source: Experimental Astronomy; Feb2022, Vol. 53 Issue 1, p1-43, 43p

Subject Terms: MACHINE learning, ELECTRONIC data processing, BIG data, ASTRONOMERS, ASTRONOMY

An effective multi-level synchronization clustering method based on a linear weighted Vicsek model.

Authors: Chen, Xinquan Qiu, Yirou

Source: Applied Intelligence; Nov2020, Vol. 50 Issue 11, p4063-4080, 18p

Subject Terms: SYNCHRONIZATION, ALGORITHMS, BIG data

The big data system, components, tools, and technologies: a survey.

Authors: Rao, T. Ramalingeswara Mitra, Pabitra Bhatt, Ravindara et al.

Source: Knowledge & Information Systems; Sep2019, Vol. 60 Issue 3, p1165-1245, 81p

Subject Terms: BIG data, NONRELATIONAL databases, TECHNOLOGY

FrontMatter.

Source: Euro-Par 2016: Parallel Processing; 2016, pI-XXIX, 29p

Pareto-Based Scheduling of MapReduce Workloads.

Authors: Zacheilas, Nikos Kalogeraki, Vana

Source: 2016 IEEE 19th International Symposium on Real-Time Distributed Computing (ISORC); 2016, p174-181, 8p

A Theoretical and Experimental Comparison of Filter-Based Equijoins in MapReduce.

Authors: Phan, Thuong-Cang d'Orazio, Laurent Rigaux, Philippe

Source: Transactions on Large-Scale Data- & Knowledge-Centered Systems XXV; 2016, p33-70, 38p

A Pareto-based scheduler for exploring cost-performance trade-offs for MapReduce workloads.

Authors: Zacheilas, Nikos Kalogeraki, Vana

Source: EURASIP Journal on Embedded Systems; 7/3/2017, Vol. 2017 Issue 1, p1-24, 24p

Subject Terms: COMPUTER systems, RESOURCE allocation, CYBER physical systems, INDUSTRIAL clusters

Company/Entity: X Corp.

Classification and disease probability prediction via machine learning programming based on multi-GPU cluster MapReduce system.

Authors: Li, Jinjing Chen, Qingkui Liu, Bocheng

Source: Journal of Supercomputing; May2017, Vol. 73 Issue 5, p1782-1809, 28p

Subject Terms: ELECTRONIC health records, PARALLEL processing, GRAPHICS processing units, BIG data, DATA analysis

A parallel algorithm for mining constrained frequent patterns using MapReduce.

Authors: Yan, Xiaowu Zhang, Jifu Xun, Yaling et al.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; May2017, Vol. 21 Issue 9, p2237-2249, 13p

Subject Terms: PARALLEL algorithms, DATA mining, MATHEMATICAL mappings, ALGORITHMS, BIG data

A MPI-Friendly Efficient Static Binary Translator Based on QEMU.

Authors: Lu, Shuaibing Pang, Jianmin Pan, Yaomin et al.

Source: 2015 International Conference on Computer Science & Mechanical Automation (CSMA); 2015, p36-40, 5p

FrontMatter.

Source: Euro-Par 2015: Parallel Processing; 2015, pI-XXXV, 35p

High-Performance Biomedical Association Mining with MapReduce.

Authors: Ji, Yanqing Tian, Yun Shen, Fangyang et al.

Source: 2015 12th International Conference on Information Technology - New Generations; 2015, p465-470, 6p