Performance Evaluation and Energy Efficient VM Placement for Fog-Assisted IoT Environment
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-3448-2_7
Reference26 articles.
1. Al Ridhawi I, Kotb Y, Aloqaily M, Jararweh Y, Baker T (2019) A profitable and energy-efficient cooperative fog solution for IoT services. IEEE Trans Industr Inf 16(5):3578–3586
2. Barik RK, Dubey H, Mankodiya K, Sasane SA, Misra C (2019) GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis. J Ambient Intell Human Comput 10(2):551–567
3. Fantacci R, Picano B (2020) Performance analysis of a delay constrained data offloading scheme in an integrated cloud-fog-edge computing system. IEEE Trans Veh Technol 69(10):12004–12014
4. Priyadarshini R, Barik RK, Dubey H (2018) Deepfog: fog computing-based deep neural architecture for prediction of stress types, diabetes and hypertension attacks. Computation 6(4):62
5. Al Ahmad M, Patra SS, Barik RK (2020) Energy-efficient resource scheduling in fog computing using SDN framework. In: Progress in computing, analytics and networking. Springer, pp 567–578
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. Performance Evaluation of SDN-Assisted Fog Computing System with State-Dependent Service;Lecture Notes in Networks and Systems;2024
2. Performance Evaluation of Fog Centre with Balking, Reneging and Retention;Proceedings of the 5th International Conference on Information Management & Machine Intelligence;2023-11-23
3. A New Task Offloading Scheme for Geospatial Fog Computing Environment Using M/M/C Queueing Approach;Lecture Notes in Electrical Engineering;2023
4. Task Offloading Scheme for Latency Sensitive Tasks In 5G IOHT on Fog Assisted Cloud Computing Environment;2022 3rd International Conference for Emerging Technology (INCET);2022-05-27
5. Optimizing VM Allocation with Queue Dependent Requests in fog Network;2022 International Conference on Emerging Smart Computing and Informatics (ESCI);2022-03-09
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