Reproducibility of Computational Experiments on Kubernetes-Managed Container Clouds with HyperFlow
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-50371-0_16
Reference18 articles.
1. Azarnoosh, S., et al.: Introducing precip: an API for managing repeatable experiments in the cloud. In: 2013 IEEE 5th International Conference on Cloud Computing Technology and Science, CloudCom, pp. 19–26. IEEE (2013)
2. Balis, B.: Hyperflow: a model of computation, programming approach and enactment engine for complex distributed workflows. Future Gener. Comput. Syst. 55, 147–162 (2016)
3. Bartusch, F., Hanussek, M., Kruger, J., Kohlbacher, O.: Reproducible scientific workflows for high performance and cloud computing. In: 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID, pp. 161–164 (2019)
4. Beltre, A.M., Saha, P., Govindaraju, M., Younge, A., Grant, R.E.: Enabling HPC workloads on cloud infrastructure using Kubernetes container orchestration mechanisms. In: IEEE/ACM International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC, pp. 11–20. IEEE (2019)
5. Cohen-Boulakia, S., Belhajjame, K., et al.: Scientific workflows for computational reproducibility in the life sciences: status, challenges and opportunities. Future Gener. Comput. Syst. 75, 284–298 (2017)
Cited by 3 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. Indexing legacy data-sets for global access and processing in multi-cloud environments;Future Generation Computer Systems;2023-11
2. Reproducible and Portable Big Data Analytics in the Cloud;IEEE Transactions on Cloud Computing;2023
3. Global Access to Legacy Data-Sets in Multi-cloud Applications with Onedata;Parallel Processing and Applied Mathematics;2023
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