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Title: Monitoring Network Data Streams
Authors: ZHANG RUI
Keywords: data stream aggregate nearest neighbor NN
Issue Date: 26-Oct-2006
Citation: 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.
Appears in Collections:Ph.D Theses (Open)

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