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The effects of virtualization on main memory systems

Authors:

Alexander ZeierAuthors Info & Claims

DaMoN '10: Proceedings of the Sixth International Workshop on Data Management on New Hardware

Pages 41 - 46

https://doi.org/10.1145/1869389.1869395

Published: 07 June 2010 Publication History

Abstract

Virtualization is mainly employed for increasing the utilization of a lightly-loaded system by consolidation, but also to ease the administration based on the possibility to rapidly provision or migrate virtual machines. These facilities are crucial for efficiently managing large data centers. At the same time, modern hardware --- such as Intel's Nehalem microarchitecure --- change critical assumptions about performance bottlenecks and software systems explicitly exploiting the underlying hardware --- such as main memory databases --- gain increasing momentum.

In this paper, we address the question of how these specialized software systems perform in a virtualized environment. To do so, we present a set of experiments looking at several different variants of in-memory databases: The MonetDB Calibrator, a fine-grained hybrid row/column in-memory database running an OLTP workload, and an in-memory column store database running a multi-user OLAP workload.

We examine how memory management in virtual machine monitors affects these three classes of applications. For the multi-user OLAP experiment we also experimentally compare a virtualized Nehalem server to one of its predecessors. We show that saturation of the memory bus is a major limiting factor but is much less impactful on the new architecture.

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Cited By

Zhou XLeis VHu JYu XStonebraker M(2025)Practical DB-OS Co-Design with Privileged Kernel BypassProceedings of the ACM on Management of Data10.1145/37097143:1(1-27)Online publication date: 11-Feb-2025
https://dl.acm.org/doi/10.1145/3709714
Kohler JSpecht T(2021)Towards a Secure, Distributed, and Reliable Cloud-Based Reference Architecture for Big Data in Smart CitiesResearch Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing10.4018/978-1-7998-5339-8.ch006(123-149)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-5339-8.ch006
Kohler JSpecht T(2019)Towards a Secure, Distributed, and Reliable Cloud-Based Reference Architecture for Big Data in Smart CitiesBig Data Analytics for Smart and Connected Cities10.4018/978-1-5225-6207-8.ch003(38-70)Online publication date: 2019
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Index Terms

The effects of virtualization on main memory systems

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cover image ACM Conferences

DaMoN '10: Proceedings of the Sixth International Workshop on Data Management on New Hardware

June 2010

56 pages

ISBN:9781450301893

DOI:10.1145/1869389

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOD: ACM Special Interest Group on Management of Data

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 June 2010

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SIGMOD/PODS '10

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SIGMOD

SIGMOD/PODS '10: International Conference on Management of Data

June 7, 2010

Indiana, Indianapolis

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Overall Acceptance Rate 94 of 127 submissions, 74%

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Cited By

Zhou XLeis VHu JYu XStonebraker M(2025)Practical DB-OS Co-Design with Privileged Kernel BypassProceedings of the ACM on Management of Data10.1145/37097143:1(1-27)Online publication date: 11-Feb-2025
https://dl.acm.org/doi/10.1145/3709714
Kohler JSpecht T(2021)Towards a Secure, Distributed, and Reliable Cloud-Based Reference Architecture for Big Data in Smart CitiesResearch Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing10.4018/978-1-7998-5339-8.ch006(123-149)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-5339-8.ch006
Kohler JSpecht T(2019)Towards a Secure, Distributed, and Reliable Cloud-Based Reference Architecture for Big Data in Smart CitiesBig Data Analytics for Smart and Connected Cities10.4018/978-1-5225-6207-8.ch003(38-70)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-6207-8.ch003
Mühlbauer TRödiger WKipf AKemper ANeumann T(2015)High-Performance Main-Memory Database Systems and Modern VirtualizationProceedings of the Fourth Workshop on Data analytics in the Cloud10.1145/2799562.2799643(1-4)Online publication date: 31-May-2015
https://dl.acm.org/doi/10.1145/2799562.2799643
Meyer RBanova VDanciu APrutscher DKrcmar H(2015)Assessing the Suitability of In-Memory Databases in an Enterprise ContextProceedings of the 2015 International Conference on Enterprise Systems10.1109/ES.2015.15(78-89)Online publication date: 14-Oct-2015
https://dl.acm.org/doi/10.1109/ES.2015.15
Ding XShan J(2015)Diagnosing Virtualization Overhead for Multi-threaded Computation on Multicore PlatformsProceedings of the 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom)10.1109/CloudCom.2015.102(226-233)Online publication date: 30-Nov-2015
https://dl.acm.org/doi/10.1109/CloudCom.2015.102
Schaffner JSchaffner J(2013)A Model for Load Management and Response Time PredictionMulti Tenancy for Cloud-Based In-Memory Column Databases10.1007/978-3-319-00497-6_3(19-39)Online publication date: 3-Jun-2013
https://doi.org/10.1007/978-3-319-00497-6_3
Guan Q(2013)A Method of Deploying Virtual Machine on Multi-core CPU in Decomposed WayEmerging Technologies for Information Systems, Computing, and Management10.1007/978-1-4614-7010-6_94(845-852)Online publication date: 2013
https://doi.org/10.1007/978-1-4614-7010-6_94
Guan QYe LXu D(2011)Deployment of Virtual Machine on X86 Platform Based in Decomposed Way2011 International Conference on Internet Technology and Applications10.1109/ITAP.2011.6006168(1-4)Online publication date: Aug-2011
https://doi.org/10.1109/ITAP.2011.6006168
Chen HJiang LDong WWang L(2011)An Emulation Model of IA-32 Memory ManagementProceedings of the 2011 International Conference on Intelligence Science and Information Engineering10.1109/ISIE.2011.41(321-324)Online publication date: 20-Aug-2011
https://dl.acm.org/doi/10.1109/ISIE.2011.41
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