Towards optimizing the execution of spark scientific workflows using machine learning‐based parameter tuning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Towards optimizing the execution of spark scientific workflows using machine learning‐based parameter tuning

Published:2020-09-05 Issue:5 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Oliveira Douglas¹²,Porto Fábio²,Boeres Cristina¹,Oliveira Daniel¹³

Affiliation:

1. Instituto de Computação Universidade Federal Fluminense Niterói Brazil

2. DexlLab ‐ Data Extreme Lab Laboratório Nacional de Computação Científica Petrópolis Brazil

3. UFFeScience ‐ Virtual Laboratory of eScience Universidade Federal Fluminense Niterói Brazil

Funder

National Science Foundation

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5972

Reference89 articles.

1. Touching the future

2. DfAnalyzer: runtime dataflow analysis of scientific applications using provenance;Silva V;PVLDB,2018

3. Provenance Analytics for Workflow-Based Computational Experiments

4. SciPhy: A Cloud-Based Workflow for Phylogenetic Analysis of Drug Targets in Protozoan Genomes

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance optimization of Spark MLlib workloads using cost efficient RICG model on exponential projective sampling;Cluster Computing;2024-05-08

2. Perakende Sektöründe Makine Öğrenmesi Algoritmalarının Karşılaştırmalı Performans Analizi: Black Friday Satış Tahminlemesi;Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu Dergisi;2024-04-30

3. Tuning parameters of Apache Spark with Gauss–Pareto-based multi-objective optimization;Knowledge and Information Systems;2023-12-13

4. Optimizing computational costs of Spark for SARS‐CoV‐2 sequences comparisons on a commercial cloud;Concurrency and Computation: Practice and Experience;2023-03

5. Design and evaluation of adaptive system for big data cyber security analytics;Expert Systems with Applications;2022-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3