Abstract
In Named Data Networking (NDN), routers have caches to store frequently requested contents, and hence cache man- agement scheme becomes a key factor for efficient content delivery. In this paper, we propose the sharing of cache sum- maries using a Bloom filter among neighboring routers for efficient content delivery and high cache utilization at NDN. When an Interest packet is received, a router can forward the Interest to a neighboring router which has the high po- tential of the requested content. The proposed scheme is evaluated by using ndnSIM, which is a NS-3 based named data networking simulator. Simulation results show that the summary sharing using our proposed method is beneficial in content diversity and average content delivery time.
Original language | English |
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Title of host publication | ANCS 2016 - Proceedings of the 2016 Symposium on Architectures for Networking and Communications Systems |
Publisher | Association for Computing Machinery, Inc |
Pages | 127-128 |
Number of pages | 2 |
ISBN (Electronic) | 9781450341837 |
DOIs | |
State | Published - 17 Mar 2016 |
Event | 12th ACM/IEEE Symposium on Architectures for Networking and Communications Systems, ANCS 2016 - Santa Clara, United States Duration: 17 Mar 2016 → 18 Mar 2016 |
Publication series
Name | ANCS 2016 - Proceedings of the 2016 Symposium on Architectures for Networking and Communications Systems |
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Conference
Conference | 12th ACM/IEEE Symposium on Architectures for Networking and Communications Systems, ANCS 2016 |
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Country/Territory | United States |
City | Santa Clara |
Period | 17/03/16 → 18/03/16 |
Bibliographical note
Funding Information:This research was supported by the National Research Foundation of Korea (NRF), NRF-2014R1A2A1A11051762 and NRF-2015R1A2A1A15054081. This research was also supported by MSIP, Korea, under the ITRC support program (IITP-2015-H8501-15-1007) supervised by IITP.
Publisher Copyright:
© 2016 Copyright held by the owner/author(s).
Keywords
- Bloom filter
- Cache content sharing
- Cache summary
- Named data networking