Scheduling strategies for data stream processing

Sharaf, Mohamed A. and Labrinidis, Alexandros (2009). Scheduling strategies for data stream processing. In Ling Liu and M. T. Ozsu (Ed.), Encyclopedia of database systems (pp. 2475-2479) USA: Springer US.

Author Sharaf, Mohamed A.
Labrinidis, Alexandros
Title of chapter Scheduling strategies for data stream processing
Title of book Encyclopedia of database systems
Place of Publication USA
Publisher Springer US
Publication Year 2009
Sub-type Chapter in reference work, encyclopaedia, manual or handbook
Series Springer Reference
ISBN 9780387496160
Editor Ling Liu
M. T. Ozsu
Start page 2475
End page 2479
Total pages 5
Language eng
Abstract/Summary Data have become a highly valued asset for governments, industries and individuals, and the management of these data collections remains a critical technical challenge.. The challenges of managing terabytes and exabytes of data and expanding data management to include other data modalities while maintaining the fundamental tenets of database management (data independence, data integrity, data consistency, etc) are important issues for any organization today. Published as five volumes with over 4000 pages, the Encyclopedia of Database Systems provides easy access to important concepts relevant information on all aspects of very large databases, data management, and database systems, including areas of current interest and research results of historical significance.. This comprehensive reference contains 1,300 illustrated entries, organized alphabetically. Each entry presents basic terminology, concepts, methods and algorithms, key results to date, references to the literature, and cross-references to other entries. Topics for the Encyclopedia — including areas of current interest as well as research results of historical significance — were selected by a distinguished international advisory board and written by world class experts in the field. Encyclopedia of Database Systems is designed to meet the needs of researchers, professors, graduate and undergraduate students in computer science and engineering. Industry professionals such as database specialists and software developers will also benefit from this reference work. [from publisher's website]
Q-Index Code BX
Q-Index Status Provisional Code
Institutional Status Unknown

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Created: Sun, 23 Oct 2011, 02:44:59 EST by Dr Mohamed Sharaf on behalf of School of Information Technol and Elec Engineering