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Efficient Deployment of Main-Memory DBMS in Virtualized Data Centers

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Seibold, Michael ; Wolke, Andreas ; Albutiu, Martina ; Bichler, Martin ; Kemper, Alfons ; Setzer, Thomas:
Efficient Deployment of Main-Memory DBMS in Virtualized Data Centers.
In: IEEE 5th International Conference on Cloud Computing (CLOUD), 2012 : 24 - 29 June 2012, Honolulu, Hawaii, USA. - Hawaii, USA, 2012. - S. 311-318
ISBN 978-0-7695-4755-8 ; 978-1-4673-2892-0

Volltext

Link zum Volltext (externe URL): https://doi.org/10.1109/CLOUD.2012.13

Kurzfassung/Abstract

Running emerging main-memory database systems within virtual machines causes huge overhead, because these systems are highly optimized to get the most out of bare metal servers. But running these systems on bare metal servers results in low resource utilization, because database servers often have to be sized for peak loads, much higher than the average load. Instead, we propose to deploy them within light-weight containers that allow to control resource usage and to make use of spare resources by temporarily running other applications on the database server using virtual machines (VMs). The servers on which these VMs would normally run can be suspended, to save energy costs. But current database systems do not handle dynamic changes to resource allocation well and accurate estimates on resource demand are required to maintain SLAs. We focus on emerging main-memory database systems that support the mixed workloads of today’s business intelligence applications and propose an cooperative approach in which the DBMS communicates its resource demand, gets informed about currently assigned resources and adapts its resource usage accordingly. We analyze the performance impact on the database system when spare resources are used by VMs and monitor SLA compliance.

Weitere Angaben

Publikationsform:Aufsatz in einem Buch
Schlagwörter:Cloud Computing; Infrastructure-As-A-Service; Main-memory DBMS
Institutionen der Universität:Wirtschaftswissenschaftliche Fakultät > Betriebswirtschaftslehre > Lehrstuhl für Allgemeine Betriebswirtschaftslehre und Wirtschaftsinformatik
DOI / URN / ID:10.1109/CLOUD.2012.13
Titel an der KU entstanden:Nein
Eingestellt am:06. Okt 2020 09:51
Letzte Änderung:06. Okt 2020 16:20
URL zu dieser Anzeige:http://edoc.ku-eichstaett.de/24937/