A survey: ICT enabled energy efficiency techniques for big data applications
Author:
Funder
Council of Scientific and Industrial Research
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
http://link.springer.com/content/pdf/10.1007/s10586-019-02958-6.pdf
Reference78 articles.
1. Addo-Tenkorang, R., Helo, P.T.: Big data applications in operations/supply-chain management: a literature review. Comput. Ind. Eng. 101, 528–543 (2016)
2. Ahmad, R.W., Gani, A., Hamid, S.H.A., Shiraz, M., Yousafzai, A., Xia, F.: A survey on virtual machine migration and server consolidation frameworks for cloud data centers. J. Netw. Comput. Appl. 52, 11–25 (2015)
3. Aksanli, B., Venkatesh, J., Zhang, L., Rosing, T.: Utilizing green energy prediction to schedule mixed batch and service jobs in data centers. ACM SIGOPS Oper. Syst. Rev. 45(3), 53–57 (2012)
4. Alkhater, N., Walters, R., Wills, G.: An empirical study of factors influencing cloud adoption among private sector organisations. Telemat. Inform. 35(1), 38–54 (2018)
5. Atat, R., Liu, L., Wu, J., Li, G., Ye, C., Yang, Y.: Big data meet cyber-physical systems: a panoramic survey. IEEE Access 6, 73603–73636 (2018)
Cited by 16 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. Energy consumption estimation and profiling for queries in distributed database systems based on a bottom-up comprehensive energy model;Future Generation Computer Systems;2024-10
2. AlveoliNet: An Incrementally Scalable, Cost-Effective, and High-Performance Two-Layer Based Architecture for Data Centers;IEEE Transactions on Network Science and Engineering;2024-09
3. An efficient proactive VM consolidation technique with improved LSTM network in a cloud environment;Computing;2023-08-20
4. ML based D3 R: Detecting DDoS using Random Forest;2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW);2023-05
5. Development of an Algorithm for Energy Efficient Resource Scheduling of a Multi-cloud Platform for Big Data Processing;Advances in Artificial Systems for Medicine and Education V;2022
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