Caching Strategy Based on Hierarchical Cluster for Named Data Networking Article Swipe
Huan Yan
,
Deyun Gao
,
Wei Su
,
Chuan Heng Foh
,
Hongke Zhang
,
Athanasios V. Vasilakos
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1109/access.2017.2694045
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1109/access.2017.2694045
The in-network caching strategy in named data networking can not only reduce the unnecessary fetching of content from the original content server deep in the core network and improve the user response time, but also ease the traffic in the core network. However, challenges exist in in-network caching, such as the distributed locations of storage and relatively small cache space which limit the hit rate, and the cache management introduces further overhead. In this paper, we propose a two-layer hierarchical cluster-based caching solution to improve in-network caching efficiency. A network is grouped into several clusters, then, a cluster-head is nominated for each cluster to make caching decision. The clustering approach offers scalability and permits multiple aspects of inputs to be used for decision making. Our solution jointly considers the location and content popularity for caching. We implement our strategy in ndnSIM and test it on GEANT-based network and AS3967 network. Our simulation results show significant improvement over its peers.
Related Topics
Concepts
Computer science
Cache
Computer network
Scalability
False sharing
Cluster analysis
Overhead (engineering)
Distributed computing
Core network
Smart Cache
Cache algorithms
Database
CPU cache
Operating system
Machine learning
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2017.2694045
- OA Status
- gold
- Cited By
- 37
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2606395094
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W2606395094Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2017.2694045Digital Object Identifier
- Title
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Caching Strategy Based on Hierarchical Cluster for Named Data NetworkingWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-01-01Full publication date if available
- Authors
-
Huan Yan, Deyun Gao, Wei Su, Chuan Heng Foh, Hongke Zhang, Athanasios V. VasilakosList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2017.2694045Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1109/access.2017.2694045Direct OA link when available
- Concepts
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Computer science, Cache, Computer network, Scalability, False sharing, Cluster analysis, Overhead (engineering), Distributed computing, Core network, Smart Cache, Cache algorithms, Database, CPU cache, Operating system, Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
37Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2023: 4, 2022: 2, 2021: 8Per-year citation counts (last 5 years)
- References (count)
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45Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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