Discovering in-network Caching Policies in NDN Networks from a Measurement Perspective

被引:4
|
作者
Fan, Chengyu [1 ]
Shannigrahi, Susmit [2 ]
Papadopoulos, Christos [1 ]
Partridge, Craig [1 ]
机构
[1] Colorado State Univ, Ft Collins, CO 80523 USA
[2] Tennessee Tech, Cookeville, TN USA
来源
PROCEEDINGS OF THE 7TH ACM CONFERENCE ON INFORMATION-CENTRIC NETWORKING (ICN '20) | 2020年
基金
美国国家科学基金会;
关键词
Named Data Networking; network measurement; caching;
D O I
10.1145/3405656.3418711
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Caching is integral to Named Data Networking (NDN). Routers in NDN networks are encouraged to cache content and serve later requests from their caches. As NDN has evolved, researchers have realized that different caching schemes work better for different types of content and patterns of content requests. From a measurement perspective, this means that being able to determine the caching schemes in use within an NDN network can be essential to understanding the network's performance. In this paper, we investigate the feasibility of detecting NDN caching schemes via active measurement (i.e., by sending requests into the network and measuring responses) from edge systems (e.g., by users). We show it is possible to determine what algorithms routers are using to decide what content to cache. Furthermore, for stochastic caching schemes with fixed caching probabilities, we show it is possible to infer the caching probability. Finally, while we do not seek to understand routers' cache replacement policies (which we leave to future work), we find that the methods for determining the caching algorithm are robust to cross traffic that may impact the content of a router's cache.
引用
收藏
页码:106 / 116
页数:11
相关论文
共 50 条
  • [1] Caching Policies for In-Network Caching
    Li, Zhe
    Simon, Gwendal
    Gravey, Annie
    2012 21ST INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS (ICCCN), 2012,
  • [2] On Learning Suitable Caching Policies for In-Network Caching
    Pires, Stefani
    Ribeiro, Adriana
    Sampaio, Leobino N.
    IEEE Transactions on Machine Learning in Communications and Networking, 2024, 2 : 1076 - 1092
  • [3] Cooperation Policies for Efficient In-Network Caching
    Wang, Liang
    Bayhan, Suzan
    Kangasharju, Jussi
    ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2013, 43 (04) : 533 - 534
  • [4] Efficient In-Network Caching in NDN-based Connected Vehicles
    Khattak, Hasan Ali
    Raja, Farkhanda Zafar
    Alogaily, Moayad
    Bouachir, Ouns
    2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,
  • [5] In-Network Address Caching for Virtual Networks
    Zeno, Lior
    Chen, Ang
    Silberstein, Mark
    PROCEEDINGS OF THE 2024 ACM SIGCOMM 2024 CONFERENCE, ACM SIGCOMM 2024, 2024, : 735 - 749
  • [6] An NDN-Enabled Fog Radio Access Network Architecture With Distributed In-Network Caching
    Taki, Sifat Ut
    Mastorakis, Spyridon
    ICC 2023-IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2023, : 5291 - 5296
  • [7] EPCache: In-network Video Caching for LTE Core Networks
    Zhu, Jiawei
    He, Jun
    Zhou, Hao
    Zhao, Baohua
    2013 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP 2013), 2013,
  • [8] Enhanced In-Network Caching for Deep Learning in Edge Networks
    Zhang, Jiaqi
    Liu, Wenjing
    Zhang, Li
    Tian, Jie
    ELECTRONICS, 2024, 13 (23):
  • [9] A Graph Neural Network Approach for Caching Performance Optimization in NDN Networks
    Hou, Jiacheng
    Xia, Huanzhang
    Lu, Haoye
    Nayak, Amiya
    IEEE ACCESS, 2022, 10 : 112657 - 112668
  • [10] An Approach for Robust In-Network Caching in Information-Centric Networks
    Zeng, Yujing
    Jin, Mingshuang
    Li, Jiawei
    JOURNAL OF INTERNET TECHNOLOGY, 2016, 17 (03): : 503 - 513