download0 view29
twitter facebook

공공누리This item is licensed Korea Open Government License

Title
Cache Performance Investigation in NDN for Large Scale Scientific Data
Author(s)
Ali, Inayat임헌국
Publisher
한국통신학회
Publication Year
2019-10-15
Abstract
Named-Data Networking (NDN) is the most active instance of Information-centric Networking (ICN) having a very active research community. NDN is racing for the future Internet architecture by removing dependence on IP addresses, location, and host-to-host communication model. The communication paradigm in NDN revolves around the content/data by naming the content, securing it instead of the channel, and retrieving the content by its names and not the IP address of the machine that hosts the data. NDN has lots of benefits for large scale scientific data as it has very expressive naming support, access control, and enhanced delivery performance compare to traditional IP based networking. NDN supports in-network caching that highly enhances the performance of NDN by reducing latency and network congestion through retrieving popular contents from nearby caches. Considering its importance, we in this work investigate the performance of in-network caching for large scale scientific data. We infer from our simulation results that the optimal cache size and the percentage of the cache hit depend on multiple parameters i.e. traffic pattern, traffic load, and cache replacement policies as proved with simulation results.
Keyword
인 네트워크 캐싱; 미래인터넷; 캐싱 기법; In-network caching; Future Internet; Caching Replacement Policy
Journal Title
한국통신학회논문지. 통신이론 및 시스템;
Citation Volume
44
ISSN
1226-4717
DOI
10.7840/kics.2019.44.10.1860
Files in This Item:
There are no files associated with this item.
Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/16841
Fulltext
 https://scienceon.kisti.re.kr/srch/selectPORSrchArticle.do?cn=NART99446520
Export
RIS (EndNote)
XLS (Excel)
XML

Browse