Stream Data Management

Streaming applications pose new and interesting challenges for data management systems, requiring a major rethink of almost all aspects of traditional database management systems to support streaming applications. This book introduces a coherent body of work spanning various aspects of streaming data. Eight invited chapters by distinguished researchers active in stream data management provide exposition of algorithms and languages, as well as systems proposed and implemented from managing streaming data.

Introduces a coherent body of work spanning various aspects of streaming data Comprises eight invited chapters by well-distinguished researchers active in stream data management The collected chapters provide exposition of algorithms and languages, as well as systems proposed and implemented from managing streaming data

Zusammenfassung

From the reviews:

"This recent addition to the 'Advances in Database Systems' series surveys the latest research in the handling of data streams. ... The chapters are written by well-known researchers ... . This book is recommended for researchers who want to get up to speed quickly on the latest ideas in data stream management. Application developers who deal with real-time data streams will also benefit by gaining an understanding of the challenges and the research insights that will lead the way to effective system solutions." (A. Hevner, Computing Reviews, January, 2006)

Inhalt
to Stream Data Management.- Query Execution and Optimization.- Filtering, Punctuation, Windows and Synopses.- XML & Data Streams.- CAPE: A Constraint-Aware Adaptive Stream Processing Engine.- Efficient Support for Time Series Queries in Data Stream Management Systems.- Managing Distributed Geographical Data Streams with the GIDB Portal System.- Streaming Data Dissemination Using Peer-Peer Systems.