Optimizing Big Data Retrieval and Job Scheduling Using Deep Learning Approaches-Reference-Cited by-同舟云学术

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Optimizing Big Data Retrieval and Job Scheduling Using Deep Learning Approaches

Published:2023 Issue:2 Volume:134 Page:783-815
ISSN:1526-1506
Container-title:Computer Modeling in Engineering & Sciences
language:en
Short-container-title:

Author:

Rong Chang Bao,Tsai Hsiu-Fen,Lin Yu-Chieh

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Computer Science Applications,Modeling and Simulation,Software

Reference42 articles.

1. Semantic (Big) Data analysis: An extensive literature review;Guedea-Noriega;IEEE Latin America Transactions,2019

2. Decentralized storage system for edge computing decentralized storage system for edge computing;Gheorghe,2019

3. Time estimation and resource minimization scheme for apache spark and hadoop Big Data systems with failures;Lee;IEEE Access,2019

4. Automatic tuning of SQL-on-Hadoop engines on cloud platforms;Deshpande,2018

5. A new approach for scheduling tasks and/or jobs in Big Data Cluster;Hadjar,2019

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1. A comprehensive survey on applications of AI technologies to failure analysis of industrial systems;Engineering Failure Analysis;2023-06

2. Introduction to the Special Issue on Hybrid Intelligent Methods for Forecasting in Resources and Energy Field;Computer Modeling in Engineering & Sciences;2023

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