A Caching Algorithm for Information Centric Network Using Fuzzy Logic
Keywords:Caching Algorithms, Computer Networks, Future Internet, Fuzzy Logic, Information Centric Network,
AbstractThe internet today has evolved from information superhighway to a household necessity that offers more than just information. Nowadays, the internet serves a lot of purpose. It is a tool for not just information but entertainment that offers music, graphics and videos that is available for downloading or streaming. It has also evolved to be a medium of communication that offers a global link from people around the globe. From emails, short message services and even voice communication, the internet has all of these to offer. The former information superhighway is today a social media platform that is open to all ages to all variety of users. With this development, it is logical to think that the current internet network scheme should also be subjected to evolution. The emerging Information Centric Network is quite a good fit to the future of internet. The idea to be concerned to the content that is to be accessed more than the identity of the one accessing the content is tailor-fit to the current application of internet. In a nutshell, ICN requires node with caching functionality. An effective caching algorithm is a great help to attain the very purpose of ICN which is to come up with an efficient network. Meanwhile, fuzzy logic, which has proven to be effective in control or optimization applications, can also be applied in improving caching functionality of ICN. This paper explores the application of fuzzy logic to the caching algorithm that can be used to further improve current information centric networks. The results were obtained from hypothetical data because this is just to prove that fuzzy logic can be applied in the caching dynamics of Information Centric Network.
Y. Zhu and A. Nakao “A Deployable and Scalable InformationCentric Network Architecture” IEEE ICC 2013 - Next-Generation Networking Symposium, 2013
Md. Faizul Bari, Shirabur Rahman Chowdhury, Reaz Ahmed “A Survey of Naming and Routing in Information-Centric Network,” IEEE Communications Magazine,vol. 50 no. 12 December 2012, pp44-53
B. Ahlgren et al., “A Survey of Information-Centric Networking,” IEEE Communications Magazine,vol. 50 no. 7 July 2012, pp26-36
B. Mathieu et al., “Information-Centric Networking: A Natural Design for Social Network Applications,” IEEE Communications Magazine,vol. 50 no. 7 July 2012, pp44-51
B. Trossen et al., “Designing and Realizing an Information-Centric Internet,” IEEE Communications Magazine, vol. 50 no. 7 July 2012, pp60-67
M. Reed, “Traffic engineering for information-centric networks” IEEE ICC 2012 - Next-Generation Networking Symposium, 2012
I. Psaras et al., “Modelling and Evaluation of CCNCachingTrees,” Networking 2011, ser. Lecture Notes inComputer Science, vol. 6640, Springer Berlin/Heidelberg,2011, pp. 78–91.
V. Sourlas et al, “Distributed Cache Management in InformationCentric Networks” IEEE Transactions on Network and Service Management, vol. 10, no. 3, September 2013, pp286-299
S. Hassan et. al, “On the Cache Prformance of the Information Centric Network” Malaysia, 2013
V. Sourlas and L. Tassiulas “Effective Cache Management and Performance Limits in Information-Centric Networks” Greece, 2013
V. Sourlas et. al “Cache-Aware Routing in Information-Centric Networks”2013
I. Psaras et. al, “In-Network Cache Management and Resource Allocation for Information-Centric Networks”, May 2013
S. Saha et. al, “Cooperative Caching through Routing Control inInformation-Centric Networks” 2013
Z.Ming et al, “Age-based Cooperative Caching in Information-Centric Networks” IEEE INFOCOM 2012 Workshop on Emerging Design Choices in Name-Oriented Networking, 2012
K. Katsaros et.al, “MultiCache: An Incrementally Deployable Overlay Architecture for Information-Centric Networking”2010
Yasuhiko Dote “Introduction To Fuzzy Logic” Japan, 1995
Phan Van Su et. al A New Fuzzy Logic Application to Variable Step Size LMS Algorithm for Adaptive Antennas in CDMA Systems, Korea.
Jungang Liu and Oliver Using Fuzzy Logic Control to Provide Intelligent Traffic Management Service for High-Speed Networks
E. Jammeh et alInterval Type-2 Fuzzy Logic Congestion Control for Video Streaming Across IP Networks.
D. Hudson and M. Cohen “Fuzzy Logic in Medical Experts” IEEE Engineering in Medicine and Biology 1994.
How to Cite
TRANSFER OF COPYRIGHT AGREEMENT
The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):
- All proprietary right other than copyright, such as patent rights
- The right to make further copies of all or part of the published article for my use in classroom teaching
- The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
- The right to make copies of the published work for internal distribution within the institution that employs me
I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.