Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/15502
Title: Monitoring Network Data Streams
Authors: ZHANG RUI
Keywords: data stream aggregate nearest neighbor NN
Issue Date: 26-Oct-2006
Source: ZHANG RUI (2006-10-26). Monitoring Network Data Streams. ScholarBank@NUS Repository.
Abstract: The data input of a new class of applications such as network monitoring, web contents analysis and sensor networks takes the form of a stream, called data stream. This type of data is characterized by an extremely high data arrival rate and a very large data volume. Network monitoring may be the most compelling application that deals with data streams. The backbone of a large Internet service provider can generate 500 gigabytes data per day, even with a high degree of sampling. Data stream algorithms are essential to the efficient processing of such data. Major network tasks such as traffic management and security exploit two basic operations: aggregation and nearest neighbor search. This thesis addresses the problem of efficient processing of these two types of queries. We base our study on Gigascope, a real data stream management system deployed in AT&T, which is specially designed for processing network data streams.
URI: http://scholarbank.nus.edu.sg/handle/10635/15502
Appears in Collections:Ph.D Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Thesis_Rui_Zhang.pdf851.82 kBAdobe PDF

OPEN

NoneView/Download

Page view(s)

229
checked on Dec 11, 2017

Download(s)

290
checked on Dec 11, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.