Failure prediction of tasks in the cloud at an earlier stage: a solution based on domain information mining-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Failure prediction of tasks in the cloud at an earlier stage: a solution based on domain information mining

Published:2020-02-19 Issue:9 Volume:102 Page:2001-2023
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Liu Chunhong^ORCID,Dai Liping,Lai Yi,Lai Guibing,Mao Wentao

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation Special Support

Doctoral Research Project of Henan Normal University

Science and Technology Research Project of Henan Province

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00607-020-00800-1.pdf

Reference29 articles.

1. Zhang Q, Zhani MF, Boutaba R, Hellerstein JL (2014) Dynamic heterogeneity-aware resource provisioning in the cloud. IEEE Trans Cloud Comput 2(1):14–28

2. Verma A, Pedrosa L, Korupolu M, Oppenheimer D, Tune E, Wilkes J (2015) Large-scale cluster management at Google with Borg. In: Proceedings of the tenth European conference on computer systems (In EuroSys), Bordeaux, France, pp 1–17

3. Jassas M, Mahmoud QH (2018) Failure analysis and characterization of scheduling jobs in google cluster trace. In: IECON 2018-44th annual conference of the IEEE Industrial Electronics Society Washington, pp 3102–3107

4. Chen X, Lu CD, Pattabiraman K (2014) Failure analysis of jobs in compute clouds: a google cluster case study. In: Proceedings of IEEE international symposium on software reliability engineering workshops, Naples, Italy, pp 167–177

5. Liu HC, Han JJ, Shang Y, Liu C, Bo C, Chen J (2017) Predicting of job failure in compute cloud based on online extreme learning machine: a comparative study. IEEE Access 5(99):9359–9368

Cited by 11 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. Task Failure Prediction and Migration in Cloud Environment;2024 1st International Conference on Communications and Computer Science (InCCCS);2024-05-22

2. JEM: An AI-based engine workflow to predict simulation’s execution time on HPC cluster;2024 International Conference on Control, Automation and Diagnosis (ICCAD);2024-05-15

3. Enhancing Fault Tolerance System in Cloud Environment Through Failure Prediction Using Ensemble Learning;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

4. Design and Test of Quad-Bundle Spacer Damper Based on a New Rubber Structure;Shock and Vibration;2023-03-21

5. An Ensemble Learning Approach For Task Failure Prediction In Cloud Data Centers;E3S Web of Conferences;2023

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