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E-book
Author Schaffner, Jan

Title Multi tenancy for cloud-based in-memory column databases : workload management and data placement / Jan Schaffner
Published Heidelberg ; New York : Springer, ©2014

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Description 1 online resource
Series In-memory data management research, 2196-8055
In-memory data management research.
Contents Introduction -- Background and Motivation -- A Model for Load Management and Response Time Prediction -- The Robust Tenant Placement and Migration Problem -- Algorithms for RTP -- Experimental Evaluation -- Related Work -- Conclusions and Perspectives
Summary 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
Analysis Computer software
Computer science
Database management
Management information systems
Economics/Management Science
Business Information Systems
Algorithm Analysis and Problem Complexity
Models and Principles
Discrete Optimization
optimalisatie
optimization
economie
economics
bedrijfswetenschap
management science
algoritmen
algorithms
computeranalyse
computer analysis
bedrijfsinformatiesystemen
modellen
models
databasebeheer
Management studies, Business Administration, Organizational Science (General)
Economics (General)
Management, bedrijfskunde, organisatiekunde (algemeen)
Economie (algemeen)
Notes Diss.-- University of Potsdam
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed July 16, 2013)
Subject Database management.
Cloud computing.
COMPUTERS -- Database Management -- General.
COMPUTERS -- Desktop Applications -- Databases.
COMPUTERS -- System Administration -- Storage & Retrieval.
Science économique.
Affaires.
Cloud computing
Database management
Genre/Form dissertations.
Academic theses
Academic theses.
Thèses et écrits académiques.
Form Electronic book
ISBN 9783319004976
3319004972