Abstract
The fundamental drawback of unstructured peer-to-peer (P2P) networks is the flooding-based query processing protocol that seriously limits their scalability. As a result, a significant amount of research work has focused on designing efficient search protocols that reduce the overall communication cost. What is lacking, however, is the availability of real data, regarding the exact content of users’ libraries and the queries that these users ask. Using trace-driven simulations will clearly generate more meaningful results and further illustrate the efficiency of a generic query processing protocol under a real-life scenario.
Motivated by this fact, we developed a Gnutella-style probe and collected detailed data over a period of two months. They involve around 4,500 users and contain the exact files shared by each user, together with any available metadata (e.g., artist for songs) and information about the nodes (e.g., connection speed). We also collected the queries initiated by these users. After filtering, the data were organized in XML format and are available to researchers. Here, we analyze this dataset and present its statistical characteristics. Additionally, as a case study, we employ it to evaluate two recently proposed P2P searching techniques.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Gnutella home page, http://gnutella.wego.com
Napster home page, http://www.napster.com
Real dataset for file-sharing p2p systems, http://www.comp.nus.edu.sg/~p2p
Bakiras, S., Kalnis, P., Loukopoulos, T., Ng, W.S.: A general framework for searching in distributed data repositories. In: Proc. IEEE IPDPS, pp. 34–41 (2003)
Calvert, K., Doar, M., Zegura, E.W.: Modeling internet topology. IEEE Communications Magazine 35, 160–163 (1997)
Faloutsos, M., Faloutsos, P., Faloutsos, C.: On power-law relationships of the internet topology. In: Proc. ACM SIGCOMM, pp. 251–262 (1999)
Gummadi, K.P., Dunn, R.J., Saroiu, S., Gribble, S.D., Levy, H.M., Zahorjan, J.: Measurement, modeling, and analysis of a peer-to-peer file-sharing workload. In: Proc. ACM SOSP, pp. 314–329 (2003)
Limewire Home Page, http://www.limewire.com/
Ratnasamy, S., Francis, P., Handley, M., Karp, R., Schenker, S.: A scalable content-addressable network. In: Proc. ACM SIGCOMM, pp. 161–172 (2001)
Saroiu, S., Gummadi, K.P., Gribble, S.D.: A measurement study of peer-to-peer file sharing systems. In: Proc. Multimedia Computing and Networking (2002)
Sen, S., Wang, J.: Analyzing peer-to-peer traffic across large networks. In: Proc. Internet Measurement Workshop (IMW), pp. 137–150 (2002)
Sripanidkulchai, K., Maggs, B., Zhang, H.: Efficient content location using interest-based locality in peer-to-peer systems. In: Proc. IEEE INFOCOM, pp. 2166–2176 (2003)
Stoica, I., Morris, R., Karger, D., Kaashoek, M.F., Balakrishnan, H.: Chord: A scalable peer-to-peer lookup service for internet applications. In: Proc. ACM SIGCOMM, pp. 149–160 (2001)
Yang, B., Garcia-Molina, H.: Efficient search in peer-to-peer networks. In: Proc. IEEE ICDCS, pp. 5–14 (2002)
Yang, B., Garcia-Molina, H.: Designing a super-peer network. In: Proc. ICDE, pp. 49–60 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Goh, S.T., Kalnis, P., Bakiras, S., Tan, KL. (2005). Real Datasets for File-Sharing Peer-to-Peer Systems. In: Zhou, L., Ooi, B.C., Meng, X. (eds) Database Systems for Advanced Applications. DASFAA 2005. Lecture Notes in Computer Science, vol 3453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11408079_19
Download citation
DOI: https://doi.org/10.1007/11408079_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25334-1
Online ISBN: 978-3-540-32005-0
eBook Packages: Computer ScienceComputer Science (R0)