Multi Tenancy for Cloud-Based In-Memory Column Databases (Record no. 51264)

000 -LEADER
fixed length control field 03400nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-3-319-00497-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420211751.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130702s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319004976
-- 978-3-319-00497-6
082 04 - CLASSIFICATION NUMBER
Call Number 650
082 04 - CLASSIFICATION NUMBER
Call Number 658.05
100 1# - AUTHOR NAME
Author Schaffner, Jan.
245 10 - TITLE STATEMENT
Title Multi Tenancy for Cloud-Based In-Memory Column Databases
Sub Title Workload Management and Data Placement /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIII, 128 p.
490 1# - SERIES STATEMENT
Series statement In-Memory Data Management Research,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Data processing.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-00497-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Heidelberg :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
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-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Business.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information technology.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Business
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Algorithms.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computers.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Database management.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical optimization.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Business and Management.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- IT in Business.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Database Management.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Algorithm Analysis and Problem Complexity.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Models and Principles.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Discrete Optimization.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2196-8055
912 ## -
-- ZDB-2-SBE

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