Shared Query Processing in Data Streaming Systems

Shared Query Processing in Data Streaming Systems
Author :
Publisher :
Total Pages : 432
Release :
ISBN-10 : UCAL:C3507637
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Shared Query Processing in Data Streaming Systems by : Saileshwar Krishnamurthy

Download or read book Shared Query Processing in Data Streaming Systems written by Saileshwar Krishnamurthy and published by . This book was released on 2006 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Shared Query Processing in Data Streaming Systems Related Books

Shared Query Processing in Data Streaming Systems
Language: en
Pages: 432
Authors: Saileshwar Krishnamurthy
Categories:
Type: BOOK - Published: 2006 - Publisher:

DOWNLOAD EBOOK

Cloud Computing and Digital Media
Language: en
Pages: 426
Authors: Kuan-Ching Li
Categories: Computers
Type: BOOK - Published: 2014-03-07 - Publisher: CRC Press

DOWNLOAD EBOOK

Cloud Computing and Digital Media: Fundamentals, Techniques, and Applications presents the fundamentals of cloud and media infrastructure, novel technologies th
Stream Data Processing: A Quality of Service Perspective
Language: en
Pages: 341
Authors: Sharma Chakravarthy
Categories: Computers
Type: BOOK - Published: 2009-04-09 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The systems used to process data streams and provide for the needs of stream-based applications are Data Stream Management Systems (DSMSs). This book presents a
Proceedings 2003 VLDB Conference
Language: en
Pages: 1050
Authors: VLDB
Categories: Computers
Type: BOOK - Published: 2003-12-02 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Proceedings of the 29th Annual International Conference on Very Large Data Bases held in Berlin, Germany on September 9-12, 2003. Organized by the VLDB Endowmen
Data Stream Management
Language: en
Pages: 73
Authors: Lukasz Golab
Categories: Technology & Engineering
Type: BOOK - Published: 2010-11-11 - Publisher: Morgan & Claypool Publishers

DOWNLOAD EBOOK

Many applications process high volumes of streaming data, among them Internet traffic analysis, financial tickers, and transaction log mining. In general, a dat