Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8921)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): IMDM: International Workshop on In-Memory Data Management and Analytics
Conference proceedings info: IMDM 2013. IMDM 2014.
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Table of contents (11 papers)
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Front Matter
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IMDM 2013 Workshop Papers
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Front Matter
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Back Matter
About this book
This book constitutes the thoroughly refereed post conference proceedings of the First and Second International Workshops on In Memory Data Management and Analysis held in Riva del Garda, Italy, August 2013 and Hangzhou, China, in September 2014. The 11 revised full papers were carefully reviewed and selected from 18 submissions and cover topics from main-memory graph analytics platforms to main-memory OLTP applications.
Editors and Affiliations
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Samsung Corporation, San Jose, USA
Arun Jagatheesan
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Microsoft Corporation, Redmond, USA
Justin Levandoski
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Technische Universität München, Garching, Germany
Thomas Neumann
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Computer Science Department, Carnegie Mellon University, Pittsburgh, USA
Andrew Pavlo
Bibliographic Information
Book Title: In Memory Data Management and Analysis
Book Subtitle: First and Second International Workshops, IMDM 2013, Riva del Garda, Italy, August 26, 2013, IMDM 2014, Hongzhou, China, September 1, 2014, Revised Selected Papers
Editors: Arun Jagatheesan, Justin Levandoski, Thomas Neumann, Andrew Pavlo
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-13960-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-13959-3Published: 23 January 2015
eBook ISBN: 978-3-319-13960-9Published: 13 January 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 151
Number of Illustrations: 57 b/w illustrations
Topics: Database Management, Operating Systems