Distributed computing algorithm with high performance for big data
Abstract & Details
Research Area
Data science
Keywords
MapReduce
distributed algorithm
distributed applications
big data
Abstract
Many fields of science are now facing a deluge of data. One of the proposed approaches to enable the processing of such volumes is the MapReduce programming paradigm introduced by Google. This very simple execution scheme consists of two phases, map and reduce between which takes place a phase of massive data exchange between the machines executing the application. In this article, we propose a linear system defining a partitioning of the data to be processed and a dynamic transfer scheduling algorithm in order to optimize this intermediate phase.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Randriamampiandry Rudy | ECOLE DOCTORALE EN SCIENCES ET TECHNIQUES DE L’INGENIERIE ET DE L’INNOVATION |
| 2 | Rakotomanana René | ECOLE DOCTORALE EN SCIENCES ET TECHNIQUES DE L’INGENIERIE ET DE L’INNOVATION |
| 3 | Randimbindrainibe Falimanana | ECOLE DOCTORALE EN SCIENCES ET TECHNIQUES DE L’INGENIERIE ET DE L’INNOVATION |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Rudy, Randriamampiandry, René, Rakotomanana, & Falimanana, Randimbindrainibe (2023). Distributed computing algorithm with high performance for big data. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 2253-2257.
MLA Style
Rudy, Randriamampiandry, et al. "Distributed computing algorithm with high performance for big data." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 2253-2257.
IEEE Style
Randriamampiandry Rudy, Rakotomanana René, and Randimbindrainibe Falimanana, "Distributed computing algorithm with high performance for big data," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 2253-2257, 2023.
Vancouver Style
Rudy Randriamampiandry, René Rakotomanana, Falimanana Randimbindrainibe. Distributed computing algorithm with high performance for big data. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):2253-2257.
Harvard Style
Rudy, Randriamampiandry, René, Rakotomanana, & Falimanana, Randimbindrainibe (2023) 'Distributed computing algorithm with high performance for big data', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 2253-2257.
Chicago Style
Rudy, Randriamampiandry, Rakotomanana René, and Randimbindrainibe Falimanana. "Distributed computing algorithm with high performance for big data." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2253-2257.
Turabian Style
Rudy, Randriamampiandry, Rakotomanana René, and Randimbindrainibe Falimanana. "Distributed computing algorithm with high performance for big data." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2253-2257.
Related Research
CYBERSECURITY WITH AI
PDF Unavailable
DESIGN AND IMPLEMENTATION OF A SECURE IMAGE STEGANOGRAPHY SYSTEM USING LSB AND CRYPTOGRAPHY
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
PDF Unavailable
BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
PDF Unavailable