A review of modern caching strategies in named data network: overview, classification, and research directions

Author:

Alubady RaaidORCID,Salman Mays,Mohamed Ahmed S.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Reference68 articles.

1. Haji, L. M., Ahmad, O. M., Zeebaree, S. R. M., Dino, H. I., Zebari, R. R., & Shukur, H. M. (2020). Impact of cloud computing and Internet of Things on the future internet. Technology Reports of Kansai University, 62(5), 2179–2190.

2. Yovita, L. V., & Syambas, N. R. (2018). Caching on named data network: A survey and future research. International Journal of Electrical & Computer Engineering, 8(6), 4456. https://doi.org/10.11591/ijece.v8i6.pp4456-4466

3. Zhang, L., Estrin, D., Burke, J., Jacobson, V., Thornton, J. D., Smetters, D. K., Zhang, B., Tsudik, G., Massey, D., & Papadopoulos, C. (2010). NDN Project 2010. Relatório Técnico NDN-0001, Xerox Palo Alto Res. Center-PARC (Vol. 157, No. October, pp. 1–24). http://www.named-data.net/techreport/TR001ndn-proj.pdf

4. Lee, S., Yeom, I., & Kim, D. (2020). T-Caching: Enhancing feasibility of in-network caching in ICN. IEEE Transactions on Parallel and Distributed Systems, 31(7), 1486–1498. https://doi.org/10.1109/TPDS.2020.2970702

5. Alubady, R., Hassan, S., & Habbal, A. (2018). Pending interest table control management in named data network. Journal of Network and Computer Applications, 111, 99–116. https://doi.org/10.1016/j.jnca.2017.11.002

Cited by 4 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. Data Caching in Edge Computing: A Survey;2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST);2024-05-15

2. Mathematical Models for Named Data Networking Producer Mobility Techniques: A Review;Mathematics;2024-02-23

3. Evaluating the Efficiency of Caching Strategies in Reducing Application Latency;Journal of Science & Technology;2023-11-06

4. Enhancing Cache Robustness in Information-Centric Networks: Per-Face Popularity Approaches;Network;2023-11-01

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