In-Memory Data Management Research

Multi Tenancy for Cloud-Based In-Memory Column Databases

Workload Management and Data Placement

Authors: Schaffner, Jan

  • ​A background chapter on column databases and multi tenancy summarizes the key concepts of these technologies in a compact manner
  • A dedicated chapter on related work provides a detailed survey of the state of the art in workload management, data placement and multi tenant databases in general
  • A validation of the algorithmic results is conducted using traces from a production data center running one of SAP's on-demand applications, and the particularities of such realistic data are being discussed and generalized
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eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-00497-6
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  • ebooks can be used on all reading devices
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Hardcover $129.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-319-00496-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-3-319-03344-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

With the proliferation of Software-as-a-Service (SaaS) offerings, it is becoming increasingly important for individual SaaS providers to operate their services at a low cost. This book investigates SaaS from the perspective of the provider and shows how operational costs can be reduced by using “multi tenancy,” a technique for consolidating a large number of customers onto a small number of servers.

Specifically, the book addresses multi tenancy on the database level, focusing on in-memory column databases, which are the backbone of many important new enterprise applications. For efficiently implementing multi tenancy in a farm of databases, two fundamental challenges must be addressed, (i) workload modeling and (ii) data placement. The first involves estimating the (shared) resource consumption for multi tenancy on a single in-memory database server. The second consists in assigning tenants to servers in a way that minimizes the number of required servers (and thus costs) based on the assumed workload model. This step also entails replicating tenants for performance and high availability. This book presents novel solutions to both problems.

About the authors

Jan Schaffner received his B.Sc. and M.Sc. degrees from the Hasso Plattner Institute at the University in Potsdam, Germany, where he also pursued his doctoral studies. His main research interests are In-Memory Databases and Databases-as-a-Service. In the former area, he has been collaborating with SAP for six years and contributed to initial concepts of the SAP HANA database. In the latter area, Jan has been collaborating with the University of California, Berkeley for three years.

Table of contents (8 chapters)

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-00497-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-319-00496-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-3-319-03344-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Multi Tenancy for Cloud-Based In-Memory Column Databases
Book Subtitle
Workload Management and Data Placement
Authors
Series Title
In-Memory Data Management Research
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-00497-6
DOI
10.1007/978-3-319-00497-6
Hardcover ISBN
978-3-319-00496-9
Softcover ISBN
978-3-319-03344-0
Series ISSN
2196-8055
Edition Number
1
Number of Pages
XIII, 128
Topics