지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.10
- 수록면
- 1,860 - 1,865 (6page)
- DOI
- 10.7840/kics.2019.44.10.1860
이용수
초록· 키워드
오류제보하기
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.
목차
ABSTRACT
Ⅰ. Introduction
Ⅱ. Related Work
Ⅲ. Cache replacement policies
Ⅳ. Simulation environment and Results
Ⅴ. Conclusion
References
참고문헌 (12)
참고문헌 신청
L. Breslau, P. Cao, L. Fan, G. Phillips, and S. Shenker, “Web caching and Zipf-like distributions: Evidence and implications,” in Proc. 18th Annu. Joint Conf. IEEE Comput. Commun. Soc. (INFOCOM), vol. 1, pp. 126- 134, Mar. 1999.
Y. Carlinet, B. Kauffmann, P. Olivier, and A. Simonian, “Trace-based analysis for caching multimedia services,” 2011.
H. Yu, D. Zheng, B. Y. Zhao, and W. Zheng, “Understanding user behavior in large-scale video-on-demand systems,” ACM SIGOPS Oper. Syst. Rev., vol. 40, no. 4, pp. 333-344, 2006.
S. Shannigrahi, C. Fan, and C. Papadopoulos, “Request aggregation, caching, and forwarding strategies for improving large climate data distribution with NDN: A case study,” in Proc. Inf. Centric Netw. 2017, pp. 54-65, 2017.
Z. Zhang, Y. Yu, A. Afanasyev, J. Burke, and L. Zhang, “NAC: Name-based access control in named data networking,” in Proc. 4th ACM Conf. Inf. Centric Netw., pp. 186-187, Sep. 2017,
Y. Carlinet, B. Kauffmann, P. Olivier, and A. Simonian, “Trace-based analysis for caching multimedia services,” 2011.
H. Yu, D. Zheng, B. Y. Zhao, and W. Zheng, “Understanding user behavior in large-scale video-on-demand systems,” ACM SIGOPS Oper. Syst. Rev., vol. 40, no. 4, pp. 333-344, 2006.
S. Shannigrahi, C. Fan, and C. Papadopoulos, “Request aggregation, caching, and forwarding strategies for improving large climate data distribution with NDN: A case study,” in Proc. Inf. Centric Netw. 2017, pp. 54-65, 2017.
Z. Zhang, Y. Yu, A. Afanasyev, J. Burke, and L. Zhang, “NAC: Name-based access control in named data networking,” in Proc. 4th ACM Conf. Inf. Centric Netw., pp. 186-187, Sep. 2017,
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UCI(KEPA) : I410-ECN-0101-2019-567-001254290