An adaptive neuro-fuzzy inference system-based caching scheme for content-centric networking
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Content-centric networking (CCN) is gradually becoming the alternative approach to the traditional Internet architecture through enlightening information (content) distribution on the Internet with content names. The growing rate of Internet traffic has adapted a content-centric architecture to better serve the user requirement of accessing a content. For enhancing content delivery, ubiquitous in-network caching is utilized to store a content in each and every router by the side of the content delivery path. From the study, it is evaluated that a better performance can be achieved when caching is done by a subset of CRs instead of all CRs in a content delivery path. Motivated by this, we proposed an adaptive neuro-fuzzy inference system-based caching (ANFIS-BC) scheme for CCN to improve the cache performance. The proposed ANFIS-BC scheme utilizes the feature of centrality-measures for selection of a router for caching in a network. Our results demonstrated that the ANFIS-BC scheme consistently achieves better caching gain across the multiple network topologies.
KeywordsContent-centric network Routing Centrality Caching Content delivery Neuro-fuzzy
Compliance with ethical standards
Conflicts of interest
All authors declare that they have no conflict of interest.
This article does not contain any studies with human participants or animals performed by any of the authors.
- Carofiglio G, Gallo M, Muscariello L, Perrino D (2011) Modelling data transfer in content centric networking. In: Proceedings of international teletraffic congress (ITC)Google Scholar
- Cho K et al (2012) WAVE: popularity-based and collaborative in-network caching for content-oriented networks. In: IEEE INFOCOM NOMEN workshopGoogle Scholar
- Corujo D et al (2015) Internet research task force (IRTF) K. Pentikousis, Ed. Request for Comments: 7476 EICT Category: Informational B. OhlmanGoogle Scholar
- Fricker C, Robert P, Roberts J, Sbihi N (2012) Impact of traffic mix on caching performance in a content-centric network. In: IEEE INFOCOM NOMEN workshopGoogle Scholar
- Garca G et al (2011) COMET: content mediator architecture for content-aware networks. In: Future Network Mobile Summit (FutureNetw), 2011. IEEEGoogle Scholar
- Ghodsi A (2011) Information-centric networking: seeing the forest for the trees. In: ACM workshop on hot topics in networks (HotNets-X), Cambridge, MAGoogle Scholar
- Karami A, Johansson R (2014) Utilization of multi attribute decision making techniques to integrate automatic and manual ranking of options. J Inf Sci Eng 30(2):519–534Google Scholar
- Karami A, Guerrero-Zapata M (2014) Mining and visualizing uncertain data objects and named data networking traffics by fuzzy selforganizing map. In: Proceedings of the second international workshop on artificial intelligence and cognition (AIC), vol 1315, pp 156–163Google Scholar
- Psaras I, Chai WK, Pavlou G (2012) Probabilistic in-network caching for information-centric networks. In: ACM SIGCOMM CCN workshopGoogle Scholar
- Rosensweig EJ, Kurose J, Towsley D (2010) Approximate models for general cache networks. In: IEEE INFOCOMGoogle Scholar
- Rossi D, Rossini G (2011) Caching performance of content centric networks under multi-path routing, Technical ReportGoogle Scholar
- Rossi D, Rossini G (2012) On sizing CCN content stores by exploiting topological information. In: IEEE INFOCOM NOMEN workshopGoogle Scholar
- Trossen D et al (2011) Conceptual architecture: principles, patterns and sub-components descriptions. PURSUIT Deliverable 2.2Google Scholar
- Tyson G et al (2012) A trace-driven analysis of caching in content-centric networks. In: Proceedings of 21st international conference on computer communications networks (ICCCN), GermanyGoogle Scholar
- Xylomenos G, Ververidis CN, Siris VA, Fotiou N, Tsilopoulos C, Vasilakos X, Katsaros KV, Polyzos GC (Second Quarter 2014) A survey of content-centric networking research. Commun Surv Tutor IEEE 16(2):1024–1049Google Scholar
- Yaqub MA et al (2016) Information-centric networks (ICN) content-centric networks. Springer, Singapore, pp 19–33Google Scholar