A2Cloud-H: A Multi-tiered Machine Learning Framework for Cost-Effective Cloud Resource Selection-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A2Cloud-H: A Multi-tiered Machine Learning Framework for Cost-Effective Cloud Resource Selection

Published:2021-10-25 Issue: Volume: Page:272-291
ISSN:2367-3370
Container-title:Proceedings of the Future Technologies Conference (FTC) 2021, Volume 3
language:
Short-container-title:

Author:

Ai Xusheng,Jena Tapaswini,Khan Syeduzzaman,Hughes Robert,Pallipuram Vivek K.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-89912-7_21

Reference26 articles.

1. Bhuiyan, M.A., Pallipuram, V.K., Smith, M.C., Taha, T., Jalasutram, R.: Acceleration of spiking neural networks in emerging multi-core and gpu architectures. In: 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), pp. 1–8. IEEE (2010)

2. Chen, S., Kari, C., Coolbeth, M.: Data migration in large scale heterogeneous storage systems with space constraints. In: 2020 International Conference on Computing, Networking and Communications (ICNC), pp. 358–362. IEEE (2020)

3. Dutoi, A.D., Liu, Y.: Systematically improvable excitonic hamiltonians for electronic structure theory. Molecular Phys. 117(4), 431–445 (2019)

4. Fox, G.C., Gannon, D.: Using clouds for technical computing. In: High Performance Computing Workshop (1), pp. 81–102. Citeseer (2012)

5. Guo, T., Bahsoon, R., Chen, T., Elhabbash, A., Samreen, F., Elkhatib, Y.: Cloud instance selection using parallel k-means and ahp. In: Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion, pp. 71–76 (2019)

Cited by 1 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. Oikonomos-II: A Reinforcement-Learning, Resource-Recommendation System for Cloud HPC;2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC);2023-12-18

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