A provisioning mechanism for big data processing with high efficiency under GLOUD

Scalable and Flexible Big Data Analytic Framework (SFBAF) For Big Data Processing and Knowledge Extraction

International Conference on Engineering Technologies and Big Data Analytics (ETBDA’2016) Jan. 21-22, 2016 Bangkok (Thailand) ◽

10.15242/iie.e0116024 ◽

2016 ◽

Cited By ~ 1

Keyword(s):

Big Data ◽

Data Processing ◽

Knowledge Extraction ◽

Analytic Framework ◽

Big Data Processing ◽

Data Analytic

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Load Balancing in Big Data Processing Systems

International Review of Automatic Control (IREACO) ◽

10.15866/ireaco.v12i1.16808 ◽

2019 ◽

Vol 12 (1) ◽

pp. 42 ◽

Cited By ~ 1

Author(s):

Andrey I. Vlasov ◽

Konstantin A. Muraviev ◽

Alexandra A. Prudius ◽

Demid A. Uzenkov

Keyword(s):

Big Data ◽

Load Balancing ◽

Data Processing ◽

Big Data Processing

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Operational qualification of scientific pipeline in big data processing center for Gaia mission

15th International Conference on Space Operations ◽

10.2514/6.2018-2511 ◽

2018 ◽

Author(s):

Julie Guiraud

Keyword(s):

Big Data ◽

Data Processing ◽

Big Data Processing ◽

Operational Qualification ◽

Data Processing Center

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Efficient Workflow for Social Big Data Processing

SSRN Electronic Journal ◽

10.2139/ssrn.3365531 ◽

2019 ◽

Author(s):

Amit Kumar Jadiya ◽

Ramesh Thakur

Keyword(s):

Big Data ◽

Data Processing ◽

Big Data Processing ◽

Social Big Data

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Assessment of Intelligent Decision Support Systems Effectiveness in Technological Processes of big Data Processing

2019 International Russian Automation Conference (RusAutoCon) ◽

10.1109/rusautocon.2019.8867640 ◽

2019 ◽

Author(s):

Fyodor O. Fedin ◽

Oleg V. Trubienko ◽

Sergey V. Chiskidov

Keyword(s):

Big Data ◽

Decision Support ◽

Data Processing ◽

Decision Support Systems ◽

Support Systems ◽

Big Data Processing ◽

Intelligent Decision ◽

Intelligent Decision Support Systems ◽

Systems Effectiveness ◽

Intelligent Decision Support

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EA2S2: An Efficient Application-Aware Storage System for Big Data Processing in Heterogeneous Clusters

2017 26th International Conference on Computer Communication and Networks (ICCCN) ◽

10.1109/icccn.2017.8038371 ◽

2017 ◽

Cited By ~ 8

Author(s):

Teng Wang ◽

Jiayin Wang ◽

Son Nam Nguyen ◽

Zhengyu Yang ◽

Ningfang Mi ◽

...

Keyword(s):

Big Data ◽

Data Processing ◽

Storage System ◽

Heterogeneous Clusters ◽

Big Data Processing ◽

Application Aware

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Research progress on models, algorithms and systems for remote sensing spatial-temporal big data processing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2021.3085893 ◽

2021 ◽

pp. 1-1

Author(s):

Yang Liu ◽

Lanxue Dang ◽

Kun Cai ◽

Shenshen Li ◽

Xianyu Zuo

Keyword(s):

Remote Sensing ◽

Big Data ◽

Data Processing ◽

Research Progress ◽

Big Data Processing

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An Evaluation of FaaS Platforms as a Foundation for Serverless Big Data Processing

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing ◽

10.1145/3344341.3368796 ◽

2019 ◽

Cited By ~ 5

Author(s):

Jörn Kuhlenkamp ◽

Sebastian Werner ◽

Maria C. Borges ◽

Karim El Tal ◽

Stefan Tai

Keyword(s):

Big Data ◽

Data Processing ◽

Big Data Processing

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Application of Big Data Processing Technology in Human Resource Management Information System

Journal of Physics Conference Series ◽

10.1088/1742-6596/1881/3/032029 ◽

2021 ◽

Vol 1881 (3) ◽

pp. 032029

Author(s):

Jiayi Zeng

Keyword(s):

Information System ◽

Big Data ◽

Resource Management ◽

Human Resource Management ◽

Data Processing ◽

Human Resource ◽

Management Information System ◽

Processing Technology ◽

Management Information ◽

Big Data Processing

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Exploiting GPU Direct Access to Non-Volatile Memory to Accelerate Big Data Processing

2020 IEEE High Performance Extreme Computing Conference (HPEC) ◽

10.1109/hpec43674.2020.9286174 ◽

2020 ◽

Author(s):

Mahsa Bayati ◽

Miriam Leeser ◽

Ningfang Mi

Keyword(s):

Big Data ◽

Data Processing ◽

Direct Access ◽

Big Data Processing ◽

Non Volatile Memory ◽

Volatile Memory

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