Abstract
CCN (content-centric networking), a new network architecture, use content as centric to communicate to each other. In-network caching is a major feature of this promising architecture and takes advantage of in-network caching to low the latency requested from users and network transport load reduction. Thus, due to the wide in-network caching, CCNs have to cache much more replicas, which increases the caching energy. From the perspective of energy consumption and cost, the green CCNs find key factors influencing energy consumption. Under the situation of latest research of green CCNs, a autonomous regional network is choose as object of study and the nodes in network only needs locally available, caching and transport energy from cooperative caching group, content popularity and other information to make caching decision. The corresponding network energy consumption model is proposed, and a nonlinear programming formulates the network energy consumption problem. Furthermore an advanced genetic algorithm (GA) is used for solving nonlinear programming optimal solution. The results test and verify that the cooperative caching group exists an optimal caching depth for minimizing network energy consumption.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lee, U., Rimac, I., Kilper, D., et al.: Toward energy-efficient content dissemination. Netw. IEEE 25(2), 14–19 (2011)
Perino, D., Varvello, M.: A reality check for content centric networking. In: ACM SIGCOMM Workshop on Information-Centric Networking, pp. 44–49. ACM (2011)
Braun, T., Trinh, T.A.: Energy efficiency issues in information-centric networking. In: Energy Efficiency in Large Scale Distributed Systems, pp. 271–278 (2013)
Hancock, T.: On the energy efficiency of content delivery architectures. In: 2011 IEEE International Conference on Communications Workshops (ICC), pp. 1–6 (2011)
Choi, N., Guan, K., Kilper, D.C., et al.: In-network caching effect on optimal energy consumption in content-centric networking. In: IEEE International Conference on Communications, pp. 2889–2894. IEEE (2012)
Yonggong, W., Zhenyu, L., Qinghua, W., et al.: Performance analysis and optimization for in-network caching replacement in information centric networking. J. Comput. Res. Dev. 9, 2046–2055 (2015)
Fang, C., Yu, F.R., Huang, T., et al.: An energy-efficient distributed in-network caching scheme for green content-centric networks. Comput. Netw. 7(8), 91–96 (2014)
Fang, X., Chen, S., Ren, Z., et al.: Collaborative caching algorithm based on node similarity in content centric networking. Comput. Sci. 43(4), 81–85, 96 (2016)
Barroso, L.A., Hölzle, U.: The case for energy-proportional computing. Computer 40(12), 33–37 (2007)
Liang, X., Can, Z., Yan, D.: Novel genetic algorithm based on species selection for solving con strained non-linear programming pro problems. J. Central South Univ. (Sci. Technol.) 40(1), 185–189 (2009)
Acknowledgments
This research is supported in part by the National Natural Science Foundation of China under Grant Nos. 61562006, 61262003, in part by the Natural Science Foundation of Guangxi Province under Grant No. 2013GXNSFGA019006.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Xu, H., Huang, H., Wang, G. (2016). An Energy-Efficient Caching Strategy Based on Coordinated Caching for Green Content-Centric Network. In: Wang, G., Ray, I., Alcaraz Calero, J., Thampi, S. (eds) Security, Privacy and Anonymity in Computation, Communication and Storage. SpaCCS 2016. Lecture Notes in Computer Science(), vol 10067. Springer, Cham. https://doi.org/10.1007/978-3-319-49145-5_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-49145-5_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-49144-8
Online ISBN: 978-3-319-49145-5
eBook Packages: Computer ScienceComputer Science (R0)