Multi Tenancy for Cloud-Based In-Memory Column Databases

Workload Management and Data Placement

  • Jan Schaffner

Part of the In-Memory Data Management Research book series (IMDM)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Jan Schaffner
    Pages 1-7
  3. Jan Schaffner
    Pages 9-18
  4. Jan Schaffner
    Pages 59-68
  5. Jan Schaffner
    Pages 69-94
  6. Jan Schaffner
    Pages 95-112
  7. Jan Schaffner
    Pages 113-120
  8. Back Matter
    Pages 121-128

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.


Column Databases Databases HANA Multi Tenancy SAP Software-as-a-Service

Authors and affiliations

  • Jan Schaffner
    • 1
  1. 1.IT Systems EngineeringHasso Plattner Institute forPotsdamGermany

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-319-00496-9
  • Online ISBN 978-3-319-00497-6
  • Series Print ISSN 2196-8055
  • Series Online ISSN 2196-8063
  • About this book