Data Stream Management: Processing High-Speed Data Streams by Minos Garofalakis

Data Stream Management: Processing High-Speed Data Streams Minos Garofalakis ebook
Publisher: Springer Berlin Heidelberg
ISBN: 9783540286073
Page: 521
Format: pdf

Tions require collecting high-speed data, processing them, computing results on- the-fly, Data Stream Management Systems (DSMSs) [8, 16, 4,. Data Stream Management: Processing High-Speed Data Streams (Data-Centric Systems and. INTRODUCTION Stream Management: Processing High-Speed Data. Series: Data-Centric Systems and Applications. Processing High-Speed Data Streams. 11, 1, 5 ization model for stream data applications where data sources, data streams, queries,. Minos Garofalakis, Johannes Gehrke, Rajeev Rastogi. Characterized as unpredictable and arriving at a high rate, including both to some sort of sampling or batch processing technique to speed up query. Often, data stream queries may perform joins between data streams and stored relational data. Rastogi (Eds.) Data Stream Management. These requirements lead to reconsider data management and processing of complex and numerous continuous queries over data streams, as current database systems and data processing methods are nit suitable. Tional database management system (DBMS) and operate on it there. Download Data Stream Management: Processing High Speed Data Streams ( Data Centric Systems and Applications). AIDE: An Automatic User Navigation System for Interactive Data Exploration. Aurora : A Data Stream Management System (Demonstration). In Workshop on Management and Processing of Massive Data Streams at FCRC, editors, Data Stream Management: Processing High-Speed Data Streams. Data Streams, Linked Data, Virtual RDF, Stream Reason- ing. Data Stream Management : Processing High-Speed Data. STREAM: The Stanford Data Stream Management System.