Graduation Semester and Year
2007
Language
English
Document Type
Thesis
Degree Name
Master of Science in Computer Science
Department
Computer Science and Engineering
First Advisor
Gautam Das
Abstract
Peer-to-Peer networks have become very popular on the Internet, with millions of peers all over the world sharing large volumes of data. The sheer scale of these networks has made it difficult to gather statistics that could be used for building new features. This thesis presents a technique of obtaining estimations of the number of distinct values matching a query on the network. The method is then analyzed by considering simulation results that demonstrate its effectiveness and flexibility in supporting a variety of queries and applications.
Disciplines
Computer Sciences | Physical Sciences and Mathematics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Joseph, Zubin Matthew, "Distinct Value Estimation By Sampling On Unstructured Peer To Peer Networks" (2007). Computer Science and Engineering Theses. 227.
https://mavmatrix.uta.edu/cse_theses/227
Comments
Degree granted by The University of Texas at Arlington