Abstract
An effective solution to delivery static contents are the Content Delivery Networks (CDNs). However, when the network size increases, they show limits and weaknesses related to their size, dynamic nature, and due to the centralized/heirarchical algorithms used for their management. Decentralized algorithms and protocols can be usefully employed to improve their efficiency. A bio-inspired algorithm that improves the performance of CDNs by means of a logical organization of contents is presented in this paper. Self-organizing ant-inspired agents move and organize the metadata describing the content among the CDN servers, which are interconnected in a peer-to-peer fashion, so as to improve discovery operations. Experimental results confirm the effectiveness of the adopted approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm intelligence: from natural to artificial systems, vol. 4. Oxford university press, New York (1999)
Dorigo, M., Bonabeau, E., Theraulaz, G.: Ant algorithms and stigmergy. Future Generation Computer Systems 16(8), 851–871 (2000)
Erdil, D.C., Lewis, M.J., Abu-Ghazaleh, N.B.: Adaptive approach to information dissemination in self-organizing grids. In: 2006 International Conference on Autonomic and Autonomous Systems, ICAS 2006, p. 55. IEEE (2006)
Forestiero, A.: Self organization in content delivery networks. In: 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications (ISPA), pp. 851–852 (July 2012)
Forestiero, A., Mastroianni, C., Spezzano, G.: Reorganization and discovery of grid information with epidemic tuning. Future Generation Computer Systems 24(8), 788–797 (2008)
Forestiero, A., Mastroianni, C., Spezzano, G.: So-grid: A self-organizing grid featuring bio-inspired algorithms. ACM Transactions on Autonomous and Adaptive Systems (TAAS)Â 3(2), 5 (2008)
Fortino, G., Mastroianni, C.: Enhancing content networks with p2p, grid and agent technologies. Future Generation Computer Systems 24(3), 177–179 (2008)
Fortino, G., Mastroianni, C.: Next generation content networks. Journal on Network and Computing Applications 32(5), 941–942 (2009)
Fortino, G., Russo, W.: Using p2p, grid and agent technologies for the development of content distribution networks. Future Generation Computer Systems 24(3), 180–190 (2008)
Guomin, Z., Changyou, X., Ming, C.: A distributed multimedia cdn model with p2p architecture. In: International Symposium on Communications and Information Technologies, ISCIT 2006, pp. 152–156. IEEE (2006)
Huang, C., Wang, A., Li, J., Ross, K.W.: Understanding hybrid cdn-p2p: why limelight needs its own red swoosh. In: Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video, pp. 75–80. ACM (2008)
Kang, S., Yin, H.: A hybrid cdn-p2p system for video-on-demand. In: Second International Conference on Future Networks, ICFN 2010, pp. 309–313. IEEE (2010)
Liu, G., Wang, H., Zhang, H.: An ant colony optimization algorithm for overlay backbone multicast routing in content delivery networks. In: 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 1878–1882. IEEE (2012)
Mulerikkal, J.P., Khalil, I.: An architecture for distributed content delivery network. In: 15th IEEE International Conference on Networks, ICON 2007, pp. 359–364. IEEE (2007)
Van Dyke Parunak, H., Brueckner, S.A., Matthews, R., Sauter, J.: Pheromone learning for self-organizing agents. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 35(3), 316–326 (2005)
Xu, D., Kulkarni, S.S., Rosenberg, C., Chai, H.K.: Analysis of a cdn–p2p hybrid architecture for cost-effective streaming media distribution. Multimedia Systems 11(4), 383–399 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Forestiero, A., Mastroianni, C. (2014). A Multi-agent Algorithm to Improve Content Management in CDN Networks. In: Fortino, G., Di Fatta, G., Li, W., Ochoa, S., Cuzzocrea, A., Pathan, M. (eds) Internet and Distributed Computing Systems. IDCS 2014. Lecture Notes in Computer Science, vol 8729. Springer, Cham. https://doi.org/10.1007/978-3-319-11692-1_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-11692-1_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11691-4
Online ISBN: 978-3-319-11692-1
eBook Packages: Computer ScienceComputer Science (R0)