Description |
1 online resource |
Series |
In-memory data management research, 2196-8055 |
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In-memory data management research.
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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 |
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Computer science |
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Database management |
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Management information systems |
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Economics/Management Science |
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Business Information Systems |
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Algorithm Analysis and Problem Complexity |
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Models and Principles |
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Discrete Optimization |
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optimalisatie |
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optimization |
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economie |
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economics |
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bedrijfswetenschap |
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management science |
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algoritmen |
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algorithms |
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computeranalyse |
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computer analysis |
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bedrijfsinformatiesystemen |
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modellen |
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models |
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databasebeheer |
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Management studies, Business Administration, Organizational Science (General) |
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Economics (General) |
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Management, bedrijfskunde, organisatiekunde (algemeen) |
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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.
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Cloud computing.
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COMPUTERS -- Database Management -- General.
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COMPUTERS -- Desktop Applications -- Databases.
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COMPUTERS -- System Administration -- Storage & Retrieval.
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Science économique.
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Affaires.
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Cloud computing
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Database management
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Genre/Form |
dissertations.
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Academic theses
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Academic theses.
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Thèses et écrits académiques.
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Form |
Electronic book
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ISBN |
9783319004976 |
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3319004972 |
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