A user interest preferences based on-path caching strategy in named data networking

Shan, Siyang; Feng, Chunyan; Zhang, Tiankui; Liu, Yinlong

doi:10.1109/iccchina.2017.8330355

Cited by 7 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, [19]- [23] studied the caching strategies for arbitrary topology, where [19]- [21] adopted on-path forwarding strategies, and [22], [23] adopted off-path forwarding strategies. References [5]- [11] studied the caching strategies for arbitrary topology, where [5], [6] adopted on-path forwarding strategies, and [7]- [11] adopted off-path forwarding strategies.…”

Section: Related Workmentioning

confidence: 99%

“…Among the caching strategies for arbitrary topology, [5], [6] proposed cache decision strategies based on user preferences and content popularity. References [7], [8] proposed caching placement strategies utilizing clustering, which both considered the factors related to topology like neighbor node degree, node centrality.…”

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…For research in ICN, [5]- [11] studied the caching placement strategies for arbitrary topology. References [5], [6] designed caching placement strategies for arbitrary topology combined with on-path request forwarding, which considered content popularity and user preferences. The forwarding range of the two strategies is limited due to the on-path forwarding strategy, and thus the caching gain of the cached contents is not fully utilized.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Proactive Caching Placement for Arbitrary Topology With Multi-Hop Forwarding in ICN

et al. 2019

Self Cite

View full text Add to dashboard Cite

With the rapid growth of network traffic and the enhancement of the quality of experiences of users, Information-Centric Networking (ICN), which is a content-centric network architecture with named data caching and routing, is proposed to improve the multimedia content distribution efficiency. In arbitrary topology, cache nodes and users are randomly distributed and connected, hence it is challenging to achieve an optimal caching placement under this situation. In this paper, we propose a caching placement algorithm for arbitrary topology in ICN. We formulate an optimization problem of proactive caching placement for arbitrary topology combined with multi-hop forwarding, with an objective to optimize the user delay and the load balancing level of the nodes simultaneously. Since the original problem is NP-hard, we solve the formulated caching placement problem in two sub-problems, content replica allocation sub-problem and content replica placement sub-problem. First, in the content replica allocation sub-problem, the replica number of each content is obtained by utilizing the auction theory. Second, the replica number of each content is used as a constraint for the content replica placement sub-problem, which is solved by matching theory. The caching placement algorithm combined with multi-hop NRR forwarding maximizes the utilization of cache resources in order to achieve better caching performance. The numerical results show that significant hop count savings and load balancing level improvement are attainable via the proposed algorithm.INDEX TERMS Arbitrary topology, caching placement, ICN, multi-hop forwarding.

show abstract