Docker platform aging: a systematic performance evaluation and prediction of resource consumption
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-022-04389-4.pdf
Reference44 articles.
1. Grottke M, Matias R, Trivedi KS (2008) The fundamentals of software aging. In: 2008 IEEE International Conference on Software Reliability Engineering Workshops (ISSRE Wksp), IEEE, pp 1–6
2. Liu J, Tan X, Wang Y (2019) Cssap: software aging prediction for cloud services based on arima-lstm hybrid model. In: 2019 IEEE International Conference on Web Services (ICWS), IEEE, pp 283–290
3. Liu J, Meng L (2019) Integrating artificial bee colony algorithm and BP neural network for software aging prediction in IOT environment. IEEE Access 7:32941–32948
4. Grottke M, Li L, Vaidyanathan K, Trivedi KS (2006) Analysis of software aging in a web server. IEEE Trans Reliab 55(3):411–420
5. Cotroneo D, Natella R, Pietrantuono R, Russo S (2010) Software aging analysis of the linux operating system. In: 2010 IEEE 21st International Symposium on Software Reliability Engineering, IEEE, pp 71–80
Cited by 7 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. PMTT: Parallel multi-scale temporal convolution network and transformer for predicting the time to aging failure of software systems;Journal of Systems and Software;2024-11
2. TTAFPred: Prediction of time to aging failure for software systems based on a two-stream multi-scale features fusion network;Software Quality Journal;2024-07-22
3. FOQL: Software Aging Determination and Rejuvenation Strategy Generation for Docker;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02
4. Availability analysis of non-Markovian models with rejuvenation and checkpointing;Developments in Reliability Engineering;2024
5. Software Aging Prediction for Cloud Services Using a Gate Recurrent Unit Neural Network Model Based on Time Series Decomposition;IEEE Transactions on Emerging Topics in Computing;2023-07-01
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