Abstract
Understanding how the web objects of a website are demanded is relevant for the design and implementation of techniques that assure a good quality of service. Several authors have studied generic profiles for web access, concluding that they resemble a Zipf distribution, but further evidences were missing. This paper contributes with additional empirical evidences that confirm that a Zipf distribution is present in different domains and that its form has changed from past studies. More specifically, the α parameter has become higher than one, as a consequence that the popularity factor has become more critical than before. This analysis also considers the impact of web technologies on the characterization of web traffic.
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References
Arlitt, M., Jin, T.: A workload characterization study of the 1998 world cup web site. IEEE Network 14(3), 30–37 (2000)
Breslau, L., Cao, P., Fan, L., Phillips, G., Shenker, S.: Web caching and Zipf-like distributions: Evidence and implications. In: Proceedings of the IEEE INFOCOM 1999, pp. 126–134. IEEE (March 1999)
Challenger, J.R., Dantzig, P., Iyengar, A., Squillante, M.S., Zhang, L.: Efficiently serving dynamic data at highly accessed web sites. IEEE/ACM Transactions on Networking 12(2), 233–246 (2004)
Clauset, A., Shalizi, C.R., Newman, M.E.: Power-law distributions in empirical data. SIAM Review 51(4), 661–703 (2009)
Clauset, A., Shalizi, C.R., Newman, M.E.: Power-law Distributions, http://tuvalu.santafe.edu/aaronc/powerlaws/
Gill, P., Arlitt, M., Li, Z., Mahanti, A.: Youtube traffic characterization: a view from the edge. In: Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement, pp. 15–28. ACM (October 2007)
Huang, Q., Birman, K., van Renesse, R., Lloyd, W., Kumar, S., Li, H.C.: An analysis of Facebook photo caching. In: Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles (pp, pp. 167–181. ACM (November 2013)
Imbrenda, C., Muscariello, L., Rossi, D.: Analyzing cacheable traffic in isp access networks for micro cdn applications via content-centric networking. In: Proceedings of the 1st International Conference on Information-Centric Networking, pp. 57–66. ACM (September 2014)
Krashakov, S.A., Teslyuk, A.B., Shchur, L.N.: On the universality of rank distributions of website popularity. Computer Networks 50(11), 1769–1780 (2006)
Mahanti, A., Williamson, C., Eager, D.: Traffic analysis of a web proxy caching hierarchy. IEEE Network 14(3), 16–23 (2000)
Mahanti, A., Carlsson, N., Arlitt, M., Williamson, C.: A tale of the tails: Power-laws in internet measurements. IEEE Network 27(1), 59–64 (2013)
Nair, T.R., Jayarekha, P.: A rank based replacement policy for multimedia server cache using zipf-like law. arXiv preprint arXiv:1003.4062 (2010)
Podlipnig, S., Böszörmenyi, L.: A survey of web cache replacement strategies. ACM Computing Surveys (CSUR) 35(4), 374–398 (2003)
Roadknight, C., Marshall, I., Vearer, D.: File Popularity Characterisation. In: Proceedings of the 2nd Workshop on Internet Server Performance (WISP 1999), Atlanta, GA (May 1999)
Shi, L., Gu, Z.-M., Wei, L., Shi, Y.: Quantitative analysis of zipf’s law on web cache. In: Pan, Y., Chen, D.-X., Guo, M., Cao, J., Dongarra, J. (eds.) ISPA 2005. LNCS, vol. 3758, pp. 845–852. Springer, Heidelberg (2005)
Traverso, S., Ahmed, M., Garetto, M., Giaccone, P., Leonardi, E., Niccolini, S.: Temporal locality in today’s content caching: why it matters and how to model it. ACM SIGCOMM Computer Communication Review 43(5), 5–12 (2013)
Urdaneta, G., Pierre, G., Van Steen, M.: Wikipedia workload analysis for decentralized hosting. Computer Networks 53(11), 1830–1845 (2009)
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Zotano, M.G., Sanz, J.G., Pavón, J. (2015). Analysis of Web Objects Distribution. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 12th International Conference. Advances in Intelligent Systems and Computing, vol 373. Springer, Cham. https://doi.org/10.1007/978-3-319-19638-1_12
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DOI: https://doi.org/10.1007/978-3-319-19638-1_12
Publisher Name: Springer, Cham
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