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Abstrakty
Current computer networks are challenged by the overwhelming multiplication of available content and the increasing requirements of the content delivery applications. Content caching is already playing its role in content delivery solutions. In this paper we identify the parameters and conditions that affect the performance of content caching solutions and the improvement of the content delivery process.We evaluate caching solutions performing simulation under varying external conditions based on typical service provision considering user requests, content features and network conditions awareness. Based on the simulation results we then describe the mechanisms of a cache federation using various algorithms. We propose novel ways of multimedia data object identification and the exploitation of the network awareness, for further enhancing of the caching capabilities and related service provision.
Słowa kluczowe
Rocznik
Tom
Strony
10--16
Opis fizyczny
Bibliogr. 12 poz., rys.
Twórcy
autor
- Department of Electronic Engineering Educators, School of Pedagogical and Technological Education (ASPETE)
- Synelixis Solutions Ltd, Chalkida, Greece
autor
- Department of Electrical Engineering, Technological Education Institute of Chalkida
- Synelixis Solutions Ltd, Chalkida, Greece
autor
- Synelixis Solutions Ltd, Chalkida, Greece
Bibliografia
- [1] S. Borst, V. Gupta, and A. Walid, “Distributed caching algorithms for content distribution networks,” in Proc. of IEEE INFOCOM, 2010.
- [2] J. Chuang and M. Sirbu, “Distributed network storage service with quality-of-service guarantees,” Journal of Network and Computer Applications, vol. 23, no. 3, pp. 163–185, 2000.
- [3] D. Clark, W. Lehr, P. Faratin, S. Bauer, and J. Wroclawski, “The growth of internet overlay networks: Implications for architecture, industry structure and policy,” in Proc. of Telecommunications Policy Research Conference (TPRC-05), 2005.
- [4] P. Rodriguez, C. Spanner, and E. Biersack, “Analysis of web caching architectures: Hierarchical and distributed caching,” IEEE/ACM Trans. Netw., vol. 9, no. 4, pp. 404–418, Aug. 2001.
- [5] J. Erman, A. Gerber, M. Hajiaghayi, D. Pei, and O. Spatscheck, “Network-aware forward caching,” in Proc. of the 18th international conference on WWW, 2009.
- [6] B. Krogfoss, “Hierarchical cache optimization in IPTV networks,” IEEE Trans. Broadcast., vol. 55, no. 1, 2009.
- [7] W. Tang, Y. Fu, L. Cherkasova, and A. Vahdat, “Medisyn: a synthetic streaming media service workload generator,” in 13th International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV’03), Jun. 2003, pp. 12–21.
- [8] M. Cha, H. Kwak, P. Rodriguez, Y. Ahn, and S. Moon, “Analyzing the video popularity characteristics of large-scale user generated content systems,” IEEE/ACM Trans. Netw., vol. 17, no. 5, pp. 1357–1370, Oct. 2009.
- [9] K. Stamos, G. Pallis, A. Vakali, D. Katsaros, A. Sidiropoulos, and Y. Manolopoulos, “CDNSim: a simulation tool for content distribution networks,” ACM Transactions on Modeling And Computer Simulation, vol. 20, no. 2, Apr. 2010.
- [10] “Overview of dynamic adaptive streaming over HTTP,” 2011.
- [11] T. Qiu, Z. Ge, S. Lee, J. Wang, and Q. Zhao, “Modeling channel popularity dynamics in a large IPTV system,” in In ACM SIGMETRICS/Performance’09, Jun. 2009.
- [12] T. Zahariadis and E. Quacchio, “Fast content-aware delivery in overlay networks,” IEEE COMSOC MMTC E-Letter, vol. 5, no. 1, 2010.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bae41598-59f6-4321-a9ca-f65dc7b49685