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Business & Management - Business Information Systems | Multi Tenancy for Cloud-Based In-Memory Column Databases - Workload Management and Data Placement

Multi Tenancy for Cloud-Based In-Memory Column Databases

Workload Management and Data Placement

Schaffner, Jan

2014, XIII, 128 p. 37 illus., 30 illus. in color.

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  • ​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

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.

Content Level » Research

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

Related subjects » Business Information Systems - Database Management & Information Retrieval - Information Systems and Applications - Theoretical Computer Science

Table of contents 

​1. Introduction.- 2. Background and Motivation.- 3. A Model for Load Management and Response Time Prediction.- 4. The Robust Tenant Placement and Migration Problem.- 5. Algorithms for RTP.- 6. Experimental Evaluation.- 7. Related Work.- 8. Conclusions and Perspectives.

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