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Multi tenancy for cloud-based in-memory column databases : workload management and data placement / / Jan Schaffner



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Autore: Schaffner Jan Visualizza persona
Titolo: Multi tenancy for cloud-based in-memory column databases : workload management and data placement / / Jan Schaffner Visualizza cluster
Pubblicazione: New York, : Springer, 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (140 p.)
Disciplina: 005.74
Soggetto topico: Cloud computing
Application service providers
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Multi Tenancy for Cloud-Based In-Memory Column Databases  Visualizza cluster
ISBN: 3-319-00497-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910298553103321
Lo trovi qui: Univ. Federico II
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Serie: In-Memory Data Management Research, . 2196-8055