Výsledky vyhľadávania - "Distributed Programming Framework"

Research on K-means Clustering Algorithm Based on MapReduce Distributed Programming Framework

Autori: Ling Zhang

Zdroj: Procedia Computer Science. 228:262-270

Research on K-means Clustering Algorithm Based on MapReduce Distributed Programming Framework.

Autori: Zhang, Ling¹ (AUTHOR) 442623405@qq.com

Zdroj: Procedia Computer Science. 2023, Vol. 228, p262-270. 9p.

Predmety: K-means clustering, Structural frames, Big data, Test validity

Distributed programming framework for fast iterative optimization in networked cyber-physical systems

Autori: Mani Srivastava Lucas Wanner Rahul Balani

Zdroj: ACM Transactions on Embedded Computing Systems. 13:1-26

Predmety: 0209 industrial biotechnology, 02 engineering and technology, 3. Good health

Prístupová URL adresa: https://dl.acm.org/doi/10.1145/2544375.2544386
http://dblp.uni-trier.de/db/journals/tecs/tecs13.html#BalaniWS14
https://dblp.uni-trier.de/db/journals/tecs/tecs13.html#BalaniWS14

A new WWW distributed programming framework

Autori: F. Reynolds F. Travostino

Zdroj: Proceedings of COM'96. First Annual Conference on Emerging Technologies and Applications in Communications. :101-105

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=10938&arnumber=502487&count=46&index=23
http://ieeexplore.ieee.org/iel4/3740/10938/00502487.pdf

Distributed Programming Framework for Fast Iterative Optimization in Networked Cyber-Physical Systems.

Autori: BALANI, RAHUL WANNER, LUCAS F. SRIVASTAVA, MANI B.

Zdroj: ACM Transactions on Embedded Computing Systems; 2014Supplement, Vol. 13, p236-261, 26p

Predmety: CYBER physical systems, MATHEMATICAL optimization, SUBGRADIENT methods, SYNCHRONIZATION

Distributed Programming Framework for Fast Iterative Optimization in Networked Cyber-Physical Systems.

Autori: BALANI, RAHUL WANNER, LUCAS F. SRIVASTAVA, MANI B.

Zdroj: ACM Transactions on Embedded Computing Systems; Dec2013, p1-26, 26p

Predmety: COMPUTER programming, DISTRIBUTED computing, MATHEMATICAL optimization, WIRELESS sensor networks, DISTRIBUTED shared memory, ALGORITHMS, ACTUATORS

A new WWW distributed programming framework.

Autori: Reynolds, F. Travostino, F.

Zdroj: Proceedings of COM'96 First Annual Conference on Emerging Technologies & Applications in Communications; 1996, p101-105, 5p

A Distributed Framework for Spatio-temporal Analysis on Large-scale Camera Networks

Autori: Hong, Kirak Voelz, Marco Govindaraju, Venu a ďalší

Prispievatelia: Hong, Kirak Voelz, Marco Govindaraju, Venu a ďalší

Predmety: Camera networks, Distributed programming framework, Resource management, Runtime systems, Spatio-temporal analysis, Video-based surveillance

Popis súboru: application/pdf

Relation: SCS Technical Report; GT-CS-12-10; http://hdl.handle.net/1853/45502

Dostupnosť: http://hdl.handle.net/1853/45502

Design and analysis of an optimal ECC algorithm with effective access control mechanism for big data.

Autori: Verma, Om Prakash Jain, Nitin Pal, Saibal Kumar

Zdroj: Multimedia Tools & Applications; Apr2020, Vol. 79 Issue 15/16, p9757-9783, 27p

Predmety: ACCESS control, BIG data, ELLIPTIC curve cryptography, CLOUD storage, ELECTRONIC data processing, MATHEMATICAL optimization

A distributed Frank-Wolfe framework for learning low-rank matrices with the trace norm.

Autori: Zheng, Wenjie Bellet, Aurélien Gallinari, Patrick

Zdroj: Machine Learning; Sep2018, Vol. 107 Issue 8-10, p1457-1475, 19p

Predmety: MATRIX functions, CONVEX surfaces, DISTRIBUTED algorithms, ARTIFICIAL neural networks, MACHINE learning

Map Reduce with Hadoop for Simplified Analysis of Big Data.

Autori: Rani, Ch. Shobha Rama, B.

Zdroj: International Journal of Advanced Research in Computer Science; May/Jun2017, Vol. 8 Issue 5, p853-856, 4p

Predmety: BIG data, DATA mining, MOBILE computing, DECISION making, DISCRETE choice models

Improved l-diversity: Scalable anonymization approach for Privacy Preserving Big Data Publishing.

Autori: Mehta, Brijesh B. Rao, Udai Pratap

Zdroj: Journal of King Saud University - Computer & Information Sciences. Apr2022, Vol. 34 Issue 4, p1423-1430. 8p.

Predmety: Big data, Privacy

Impacts of Task Re-Execution Policy on MapReduce Jobs.

Autori: JIA-CHUN LIN FANG-YIE LEU YING-PING CHEN

Zdroj: Computer Journal; May2016, Vol. 59 Issue 5, p701-714, 14p

Predmety: DISTRIBUTED algorithms, PUNCHED card systems, OCCUPATIONS, ENERGY consumption, TURNAROUND time

Distributed and scalable parsing solution for telecom network data

Autori: Marchal, Samuel Vaje, Toivo Perustieteiden korkeakoulu a ďalší

Témy: G2 Pro gradu, diplomityö

PERFORMANCE COMPARISON OF K-MEANS, PARALLEL K-MEANS AND K-MEANS++.

Autori: Aliguliyev, Ramiz Tahirzada, Shalala F.

Zdroj: Reliability: Theory & Applications; 2025 Special Issue, Vol. 20, p169-176, 8p

Predmety: CLUSTERING algorithms, PATTERN recognition systems, DATA structures, PARALLEL programming, MULTICORE processors, K-means clustering

Analyzing job completion reliability and job energy consumption for a heterogeneous MapReduce cluster under different intermediate-data replication policies.

Autori: Lin, Jia-Chun Leu, Fang-Yie Chen, Ying-Ping

Zdroj: Journal of Supercomputing; May2015, Vol. 71 Issue 5, p1657-1677, 21p

Predmety: COMPUTER reliability, ENERGY consumption of computers, HETEROGENEOUS computing, DATA replication, DISTRIBUTED computing

Cloud Actor-Oriented Database Transactions in Orleans

Autori: Tamer Eldeeb Sebastian Burckhardt Reuben Bond a ďalší

Zdroj: Proceedings of the VLDB Endowment. 17:3720-3730

Analyzing job completion reliability and job energy consumption for a general MapReduce infrastructure.

Autori: Lin, Jia-Chun Leu, Fang-Yie Chen, Ying-ping

Zdroj: Journal of High Speed Networks; 2013, Vol. 19 Issue 3, p203-214, 12p

Predmety: COMPUTER network reliability, ENERGY consumption, INTERNET, COMPUTER programming, FAILURE Analysis System (Computer system), GIANT magnetoimpedance effect, TASK performance

MASP-Reduce: A Proposal for Distributed Computation of Stable Models

Autori: Federico Igne and Agostino Dovier and Enrico Pontelli Igne, Federico Dovier, Agostino a ďalší

Témy: ASP solving, Parallelism, Map-reduce, InProceedings, Text, doc-type:ResearchArticle, publishedVersion

URL: https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICLP.2018.8
Is Part Of OASIcs, Volume 64, Technical Communications of the 34th International Conference on Logic Programming (ICLP 2018)

The dynamics of natural language processing and text mining under emerging artificial intelligence techniques.

Autori: Dimlo, U. M. Fernandes Rupesh, V. Raju, Yeligeti

Zdroj: International Journal of Systems Assurance Engineering & Management; Sep2024, Vol. 15 Issue 9, p4512-4526, 15p