1 Performance Study Oracle Database Scalability in VMware ESX VMware ESX 3.5 Database applications running on individual physical servers represent a large consolidation opportunity. However enterprises considering such consolidation want guidance as to how well databases scale using virtualization. Database workloads are often provisioned on systems with much higher CPU and memory configurations than required by their average utilization. This is most commonly driven by the need for headroom because database workloads are hard to migrate to a larger system, administrators often select a system much larger than immediately required in order to ensure that there will be sufficient capacity for peak portions of the workload and to allow for future growth. As a result, the utilization of dedicated database systems is often less than 20 percent of available CPU. For example, when studying over 2,000 four way Oracle database instances, the average utilization was found to be 4.92 percent (from data captured by VMware Capacity Planner, June 2006). In addition, today s multisocket, multicore systems, with high memory capacity and bandwidth, multiple high speed network connections, and numerous high performance storage options provide computing resources that are difficult to fully utilize with a single database instance. As a result, there is ample opportunity to consolidate several database instances onto a single server. The tests presented in this paper demonstrate that when scaling out (that is, increasing the number of virtual machines on one physical server) the performance of the Oracle database workloads in each virtual machine remain similar to the performance of the Oracle database workload in a single virtual machine on the same host while ESX CPU utilization scales in a nearly linear fashion. We tested with a 1GB database, which could be cached in the Oracle System Global Area, and with a 100GB database, which could not fit in the cache. This paper covers the following topics: ESX Support for Database Workloads on page 1 Tests with 1GB Database on page 2 Tests with 100GB Database on page 5 Test Environment on page 9 Conclusion on page 11 ESX Support for Database Workloads VMware ESX allows hardware to be partitioned, providing applications such as databases enough resources to keep utilization high while using the remaining resources for other workloads. Along with this resource partitioning, ESX provides the scalability required for database workloads. The following are some of the many features that make ESX ideal for consolidating database systems on a single computing platform: High performance I/O: ESX can drive over 100,000 database I/O accesses per second more than enough to accommodate the requirements of even the largest databases. Copyright 2008 VMware, Inc. All rights reserved. 1
2 CPU scalability: ESX can make full use of the increasingly large number of cores in today s high performance servers and offers two types of CPU scalability: Scaling out by supporting multiple virtual machines on a single physical host Scaling up by supporting up to four virtual processors in each guest virtual machine Memory scalability: Oracle databases benefit greatly from large amounts of memory. ESX 3.5 allows each virtual machine to be configured with up to 64GB of memory. Because consolidation of workloads allows higher processor utilization, the average memory requirement per processor is higher often about twice that of nonvirtualized systems. To accommodate these growing requirements, the memory scalability curve has been pushed considerably, with ESX 3.5 now supporting up to 256GB of physical memory. Large pages: Oracle databases have for some time used large memory pages in the CPU s memory management unit (MMU) to optimize memory performance. This large page feature can be enabled in many operating systems. ESX 3.5 provides large page support, allowing the database to fully utilize this feature. ESX 3.5 also offers other benefits, such as: NUMA optimizations in which guest operating systems are preferentially allocated physical memory on the node where the guest is running Paravirtualization using virtual machine interface (VMI) Transparent page sharing The flexibility to add hardware resources based on demand rather than overcommitting resources during deployment These and many other features enable ESX 3.5 to provide a perfect platform for consolidating physical servers running Oracle database. Tests with 1GB Database The first phase of our tests used a small database that could be cached in the Oracle System Global Area. Experimental Setup for Tests with 1GB Database The tests described in this paper were conducted using DVD Store database test suite version 2 (DS2) from Dell, Inc. DS2 is an online e commerce test application with a back end database component, a Web application layer, and driver programs. For more information about DS2, see In the first phase of these tests, we wanted to demonstrate the CPU scale out capabilities of ESX with each virtual machine running at 100 percent CPU utilization. To accomplish this, the Oracle database application had to read with near zero latency the data required to process user queries. Therefore, from among the three database sizes DS2 can be configured to use (10MB, 1GB, and 100GB), we selected the 1GB version. This allowed the entire database to be cached in the Oracle System Global Area (SGA), thus avoiding any I/O latency arising from reads and writes to the physical disks. The server used was a Sun Fire X4600 M2 server with 16 CPU cores and 256GB of memory running VMware ESX 3.5. Between one and eight workload virtual machines, each with two virtual CPUs and 4GB of memory, were running 64 bit Red Hat Enterprise Linux 4, Update 4 and Oracle 10g R2 ( ). Load was generated by the Oracle 10g R2 32 bit Windows client on a system natively running Windows Server 2003 Release 2 Enterprise Edition with SP2. For complete details of the test environment, see Test Environment on page 9. Copyright 2008 VMware, Inc. All rights reserved. 2
3 Performance Measurement for Tests with 1GB Database We used the performance of a single virtual machine configured with two virtual processors as the reference score. We then compared the performance of additional identically configured virtual machines to this reference score as they were added to the ESX system. We ensured that the virtual CPUs of each of these virtual machines were fully saturated during the tests. Once they reached a steady state, we collected the transactions per minute and response times of the DS2 workload in each virtual machine as well as the average CPU utilization across all physical CPUs during a test cycle. This allows us to show variations in transactions per minute (TPM) from the baseline performance as fractions of the reference score when additional load is added to the ESX system. These fractions are plotted as the normalized values shown in Figure 1 and Figure 2. Scaling Performance in Tests with 1GB Database Figure 1 shows the normalized aggregate transactions per minute of all the virtual machines powered on during a test cycle, while Figure 2 and Figure 3 show the individual performance of virtual machines during a test cycle. As seen from Figure 1, the aggregate TPM scales in a nearly linear fashion as virtual machines are added. The scaling tapers off only as the last virtual machines are added, because at that stage the resources (especially CPU) are nearing saturation. Figure 1. Aggregate Average Transactions per Minute 8 Aggregate Average TPM (Normalized) In Figure 2 and Figure 3, for a given data point on the X axis the total number of vertical bars corresponds to the total number of virtual machines powered on during that test. For each data point the leftmost bar corresponds to the first virtual machine, the next bar to the second virtual machine, and so on. The bars in both graphs show the average of two runs, with the lines at the top of the vertical bars showing the minimum and maximum values. As shown in Figure 2, the normalized values of the number of transactions per minute performed by each workload virtual machine as additional workload virtual machines are powered on compare favorably to the baseline performance. Copyright 2008 VMware, Inc. All rights reserved. 3
4 Figure 2. Average Transactions per Minute Average Transactions per Minute Figure 3 shows that as the number of virtual machines (and the corresponding load) on the ESX system increases, the database query response time shows only minimal degradation. With seven virtual machines, the response time of the lowest performing virtual machine is only 15 percent above the single virtual machine baseline, and even with eight virtual machines (and full CPU commitment), the response time does not increase by more than 21 percent. When it takes longer to process a transaction, the number of transactions per minute is lower. Therefore, virtual machines with higher transactions per minute in Figure 2 correspond to virtual machines with lower response time in Figure 3. Figure 3. Average Response Time (Seconds) Average Response Time (Seconds) The performance of the virtual machines in these tests fell into two distinct groups, one group slightly higher, the other slightly lower. Each virtual machine s performance corresponded to the NUMA node on which that virtual machine was running, a variance believed to be caused by the architecture. In addition, the eight virtual machine test fully committed the 16 physical CPUs. This distributed the overhead of processing interrupts for disk and network I/O across all CPUs instead of restricting them to free CPUs, as was done when fewer virtual machines were running. Our goal was to see how resource utilization scales as the number of virtual machines, and thus the overall load on the ESX host, increases. We also wanted to see the performance of the ESX scheduler when the CPU resources were fully committed. Figure 2 and Figure 3 show that ESX efficiently allocates available resources to virtual machines as the demand increases. Figure 4 shows the average CPU utilization as seen by ESX. This includes the CPU cost of the virtual machines running the Oracle database as well as all virtualization overheads. The figure shows that as the number of virtual machines is increased there is a nearly linear scaling of CPU utilization on the ESX system, which indicates the efficiency of the ESX resource scheduler. Copyright 2008 VMware, Inc. All rights reserved. 4
5 Figure 4. CPU Utilization 100% 90% 80% 70% CPU Utilization 60% 50% 40% 30% 20% 10% 0% Tests with 100GB Database The second phase of our tests used a larger database that could not be cached in the Oracle System Global Area. Experimental Setup for Tests with 100GB Database For the second phase of tests, we configured DS2 to use the 100GB database. This database was larger than the Oracle SGA, hence the data was not entirely cached during the test runs. For the second phase of our tests, we used the same Sun Fire X4600 M2 server used in first phase. In this phase, each virtual machine was configured with 32GB of memory. As before, Red Hat Enterprise Linux 4, update 4 (64 bit) was installed as the guest operating system. Oracle 10g R2 ( ) was installed as the database. Each virtual machine was assigned seven LUNs. The database files associated with the DS2 benchmark were created on these LUNs. The complete storage layout of each virtual machine is detailed in Table 1. Table 1. Storage Layout for DVD Store Data Files Tablespaces Number of Virtual Disks Virtual Disk Size (GB) Number of LUNs RAID Type Number of Physical Spindles in the RAID RAID Group Number System Redo Data and 2 Index Copyright 2008 VMware, Inc. All rights reserved. 5
6 The tablespaces for the DS2 database were placed on separate virtual disks, which were hosted on separate LUNs as shown in Table 1. All the LUNs were assigned to virtual machines as raw device mapped (RDM) disks using physical mode. Each LUN was created on a RAID 0 disk group. Despite the lack of redundancy, we used RAID 0 to maximize the disk throughput available for virtual machines running the Oracle database. This prevented the storage subsystem from becoming a bottleneck during the tests. However, production database deployments would likely use some level of redundancy in the storage layout, thus preferring RAID 5 or RAID 10 to RAID 0. Use of RAID levels with redundancy will have negligible impact on the database performance described in this paper if the RAID is configured with an appropriate number of disks. For complete details of the test environment, see Test Environment on page 9. Performance Measurement for Tests with 100GB Database To compare the performance of ESX 3.5 to native performance, we used the performance of the DS2 database in a native environment as the reference score. We compared the performance of the DS2 database in a virtual machine with a configuration similar to the native configuration to this reference score. We ensured that the CPUs of both native and virtual machines were fully saturated. In both cases, to measure the performance, we collected the transactions per minute and average response time of each transaction in the DS2 workload at steady state. In the scale out study, we used the performance of a single virtual machine as the reference score to which we compared the performance of additional virtual machines with the same configuration as the first virtual machine when they were added to the ESX system. We ensured that the CPUs of each virtual machine were fully saturated during a test cycle. At steady state we collected the transactions per minute and response time of each transaction in the DS2 workload in each virtual machine that was powered on. Simultaneously, we measured the total I/O accesses per second for each virtual machine and the average CPU utilization across all physical CPUs using the ESX command line utility esxtop. For details on esxtop, see the appendix on performance monitoring utilities in the Resource Management Guide (http://www.vmware.com/pdf/vi3_35/esx_3/r35u2/vi3_35_25_u2_resource_mgmt.pdf). We then calculated the aggregate transactions per minute, aggregate I/O accesses per second and average response time of all transactions across all virtual machines that were powered on during a test cycle. We then normalized the aggregate transactions per minute as a ratio of the reference score. All the values are plotted as graphs and explained in detail in the following sections. Performance Comparison of Oracle Database in a Virtual Machine and in a Native Environment To compare the performance of the Oracle database in a virtual machine on ESX 3.5 to that of the same database in a native environment, we installed Oracle 10g R2 ( ) on native Red Hat Enterprise Linux 4 update 4 (64 bit) on the same Sun Fire x4600 M2 server on which we installed ESX. We configured the native operating system to use only two physical processors and 32GB of memory (the same as the virtual machine configuration). Figure 5 and Figure 6 compare the performance of Oracle 10g R2 in a virtual machine on ESX 3.5 to its performance in a native environment. In both cases, the CPU was saturated, running at 100 percent utilization. As the graphs show, the performance of Oracle 10g R2 in a virtual machine on ESX 3.5 is about 94 percent of native. Copyright 2008 VMware, Inc. All rights reserved. 6
7 Figure 5. Normalized Transaction in Seconds (Higher is Better) Normalized TPM Native ESX 3.5 Figure 6. Average Response Time (Lower is Better) Average Response Time (seconds) Native ESX 3.5 Scaling Performance in Tests with 100GB Database Figure 7 shows the normalized aggregate transactions per minute of all the virtual machines powered on during a test cycle. As shown in Figure 7, the aggregate transaction per minute increases in a nearly linear fashion as more virtual machines are added. Each virtual machine s performance directly depends on the performance of the NUMA node on which it runs. Performance of NUMA nodes on the Sun Fire X4600 M2 server differs slightly from one node to another, a variance believed to be caused by the architecture. The small dip in aggregate transactions per minute in Figure 7 (between three and four virtual machines in the graph) can be attributed to the variance in the NUMA node behavior. Figure 7. Normalized Aggregate Transactions per Minute 6 Aggregate Average TPM (Normalized) Copyright 2008 VMware, Inc. All rights reserved. 7
8 Figure 8 shows the average response time of each transaction across all virtual machines powered on during a test cycle in seconds. As shown in the graph, the response time increases from 80 to 100 milliseconds as the number of virtual machines increases from one to seven with all the virtual machines running at 100 percent CPU utilization. Figure 8. Average Response Time (Seconds) Aggregate Response Time (Seconds) Figure 9 shows the average CPU utilization of all physical cores in the server. This CPU utilization includes the cost of virtual machines running the Oracle database as well as all related virtualization overhead. As shown in the graph, CPU utilization scales in nearly linear fashion as the number of virtual machines running on ESX increases, which indicates the effectiveness of the ESX resource scheduler. Figure 9. CPU Utilization CPU Utilization (%) Figure 10 shows the aggregate I/O operations per second of all virtual machines powered on during a test cycle. This includes read operations from and write operations to data, index, redo, and system disks for each virtual machine. As shown in the graph, I/O operations scale almost linearly as the number of virtual machines increases. The total I/O access per second for a given virtual machine depends directly on the total transactions per minute, which in turn is affected by the performance of the NUMA node on which the virtual machine is running. This is validated by the behavior seen in Figure 10, which is consistent with that in Figure 7. Copyright 2008 VMware, Inc. All rights reserved. 8
9 Figure 10. Aggregate I/O per Second 4000 Aggregate I/O Per Second Test Environment This section provides details about the hardware and software environment used to run these tests. Server Server Hardware Sun Fire X4600 M2 Processors: Eight 2.8GHz AMD Opteron 8220 dual core CPUs (16 cores total) L2 cache: 1MB per core Memory: 256GB Internal storage: 2.5 inch SAS internal disk Network interface controllers: Two onboard Intel 82546EB dual port Gigabit Ethernet controllers (four ports total) HBA: Two QLogic QLE2462 adapters (each dual port, 4Gbps Fibre Channel) Hypervisor VMware ESX Build Virtual Machine Configurations Number of virtual machines: Seven Virtual CPUs: Two per virtual machine Memory for tests with 1GB database: 4GB Memory for tests with 100GB database: 32GB Virtual hard drive: 50GB for operating system and Oracle application Guest operating system: Red Hat Enterprise Linux 4, Update 4, 64 bit Operating system kernel: ELlargesmp Virtual NIC: 1 Guest network driver: Vmxnet Copyright 2008 VMware, Inc. All rights reserved. 9
10 Application for Tests with 1GB Database Database: Oracle 10g R2 ( ) RHEL4 x86_64 SGA: 1.6GB PGA: 555MB Application for Tests with 100GB Database Database: Oracle 10g R2 ( ) RHEL4 x86_64 SGA: 29GB (was configured to use large pages) PGA: 1GB Storage SAN Storage EMC CLARiiON CX340 SAN; DPE and DAE with 15 disk drives each Total disk drives: 30 Disk drive specification: 146GB 10K RPM disks Read cache: 2GB (per SP) Write cache: 1GB Flare operating system revision: Configuration per virtual machine for tests with 100GB database: Three LUNs for data, two LUNs for index, one LUN for redo, and one LUN for system LUN Configuration Per Virtual Machine for Tests with 1GB Database LUN size: One LUN, 6GB LUN Configuration Per Virtual Machine for Tests with 100GB Database Three LUNs for data, two LUNs for index, one LUN for redo, and one LUN for system LUN sizes: Data: Two LUNs, 60GB each; one LUN, 6GB Index: Two LUNs, 30GB each Redo: One LUN, 5GB System: One LUN, 6GB Fibre Channel Switch EMC DS 8B2 (Brocade Silkworm 3200) Fabric operating system: v5.0.1b Link speed: 4Gb/second Client Hardware Dell PowerEdge 2950 Processors: Two Intel Xeon 5100 series dual core processors (four cores total) Memory: 4GB Network interface cards: Two Broadcom BCM5708C NetXtreme II Gigabit Ethernet adapters Copyright 2008 VMware, Inc. All rights reserved. 10
11 Operating System Windows Server 2003 Release 2 Enterprise Edition with SP2 Application Oracle 10g R2 32 bit Windows client Conclusion In this paper we demonstrate that when running multiple virtual machines with Oracle database workloads on VMware ESX 3.5, the individual performance remains close to that of the Oracle database workload in a single virtual machine, while CPU utilization scales in a nearly linear fashion. The first phase of our tests was conducted with a 1GB DS2 database that was cached in Oracle s SGA in each virtual machine. The physical CPUs on the server were fully saturated and I/O latencies arising from reads and writes to the physical disks were avoided. In the second phase we used a 100GB DS2 database. In both phases, as more virtual machines running Oracle database were added to the ESX host, performance of each virtual machine remained close to that of a single virtual machine. At saturation, CPU utilization was directly proportional to the number of virtual machines powered on. In the second phase we also observed that performance of the Oracle database in a virtual machine on ESX 3.5 was 94 percent of native. The tests described in this paper confirm that ESX is very efficient in scaling overall resource utilization with a very minimal effect on performance. This scalability is one of the factors that make VMware ESX the perfect platform on which to consolidate demanding, mission critical workloads such as Oracle databases. VMware, Inc Hillview Ave., Palo Alto, CA Copyright 2008 VMware, Inc. All rights reserved. Protected by one or more of U.S. Patent Nos. 6,397,242, 6,496,847, 6,704,925, 6,711,672, 6,725,289, 6,735,601, 6,785,886, 6,789,156, 6,795,966, 6,880,022, 6,944,699, 6,961,806, 6,961,941, 7,069,413, 7,082,598, 7,089,377, 7,111,086, 7,111,145, 7,117,481, 7,149, 843, 7,155,558, 7,222,221, 7,260,815, 7,260,820, 7,269,683, 7,275,136, 7,277,998, 7,277,999, 7,278,030, 7,281,102, and 7,290,253; patents pending. VMware, the VMware boxes logo and design, Virtual SMP and VMotion are registered trademarks or trademarks of VMware, Inc. in the United States and/or other jurisdictions. Microsoft, Windows and Windows NT are registered trademarks of Microsoft Corporation. Linux is a registered trademark of Linus Torvalds. All other marks and names mentioned herein may be trademarks of their respective companies. Revision Item: PS-064-PRD
Performance Study Performance Evaluation of VMXNET3 Virtual Network Device VMware vsphere 4 build 164009 Introduction With more and more mission critical networking intensive workloads being virtualized
VMware vsphere 6 and Oracle Database Scalability Study Scaling Monster Virtual Machines TECHNICAL WHITE PAPER Table of Contents Executive Summary... 3 Introduction... 3 Test Environment... 3 Virtual Machine
Performance Study PVSCSI Storage Performance VMware ESX 4.0 VMware vsphere 4 offers Paravirtualized SCSI (PVSCSI), a new virtual storage adapter. This document provides a performance comparison of PVSCSI
Virtualized SQL Server Database Performance Study TECHNICAL WHITE PAPER Table of Contents Executive Summary... 3 Introduction... 3 Factors Affecting Storage vmotion... 3 Workload... 4 Experiments and Results...
Performance Study Microsoft Office SharePoint Server 2007 Performance on VMware vsphere 4.1 VMware vsphere 4.1 One of the key benefits of virtualization is the ability to consolidate multiple applications
Performance of Multiple Java Applications in a VMware vsphere 4.1 Virtual Machine March 2011 PERFORMANCE STUDY Table of Contents Introduction... 3 Executive Summary... 3 Test Environment... 4 Overview...
Storage I/O Performance on VMware vsphere 5.1 over 16 Gigabit Fibre Channel Performance Study TECHNICAL WHITE PAPER Table of Contents Introduction... 3 Executive Summary... 3 Setup... 3 Workload... 4 Results...
Technical Note Configuration s VMware Infrastructure 3 When you are selecting and configuring your virtual and physical equipment, you must stay at or below the maximums supported by VMware Infrastructure
TECHNICAL NOTE VMware Infrastructure 3 SAN Conceptual and Design Basics VMware ESX Server can be used in conjunction with a SAN (storage area network), a specialized high speed network that connects computer
White Paper Recording Server Virtualization Prepared by: Mike Sherwood, Senior Solutions Engineer Milestone Systems 23 March 2011 Table of Contents Introduction... 3 Target audience and white paper purpose...
Technical Paper Moving SAS Applications from a Physical to a Virtual VMware Environment Release Information Content Version: April 2015. Trademarks and Patents SAS Institute Inc., SAS Campus Drive, Cary,
W H I T E P A P E R Performance and Scalability of Microsoft SQL Server on VMware vsphere 4 Table of Contents Introduction................................................................... 3 Highlights.....................................................................
8Gb Fibre Channel Adapter of Choice in Microsoft Hyper-V Environments QLogic 8Gb Adapter Outperforms Emulex QLogic Offers Best Performance and Scalability in Hyper-V Environments Key Findings The QLogic
W H I T E P A P E R Optimized Backup and Recovery for VMware Infrastructure with EMC Avamar Contents Introduction...1 VMware Infrastructure Overview...1 VMware Consolidated Backup...2 EMC Avamar Overview...3
Performance Study VirtualCenter Database Performance for Microsoft SQL Server 2005 VirtualCenter 2.5 VMware VirtualCenter uses a database to store metadata on the state of a VMware Infrastructure environment.
vrealize Business System Requirements Guide vrealize Business Advanced and Enterprise 8.2.1 This document supports the version of each product listed and supports all subsequent versions until the document
Design and Sizing Examples: Microsoft Exchange Solutions on VMware Page 1 of 19 Contents 1. Introduction... 3 1.1. Overview... 3 1.2. Benefits of Running Exchange Server 2007 on VMware Infrastructure 3...
Achieving a Million I/O Operations per Second from a Single VMware vsphere 5.0 Host Performance Study TECHNICAL WHITE PAPER Table of Contents Introduction... 3 Executive Summary... 3 Software and Hardware...
VMWARE PERFORMANCE STUDY VMware ESX Server 3. Improving Scalability for Citrix Presentation Server Citrix Presentation Server administrators have often opted for many small servers (with one or two CPUs)
EMC Unified Storage for Microsoft SQL Server 2008 Enabled by EMC CLARiiON and EMC FAST Cache Reference Copyright 2010 EMC Corporation. All rights reserved. Published October, 2010 EMC believes the information
Written and Provided by Expert Reference Series of White Papers Microsoft Exchange Server 200 Performance on VMware vsphere 4 1-800-COURSES www.globalknowledge.com Introduction Increased adoption of VMware
VMware Virtual SAN Performance with Microsoft SQL Server Performance Study TECHNICAL WHITE PAPER Table of Contents Executive Summary... 3 Introduction... 3 Experiment Setup... 3 Hardware Configuration...
Topic Configuration s VMware Infrastructure 3: Update 2 and later for ESX Server 3.5, ESX Server 3i version 3.5, VirtualCenter 2.5 When you are selecting and configuring your virtual and physical equipment,
IOmark- VDI Nimbus Data Gemini Test Report: VDI- 130906- a Test Copyright 2010-2013 Evaluator Group, Inc. All rights reserved. IOmark- VDI, IOmark- VDI, VDI- IOmark, and IOmark are trademarks of Evaluator
Power Management and Performance in VMware vsphere 5.1 and 5.5 Performance Study TECHNICAL WHITE PAPER Table of Contents Executive Summary... 3 Introduction... 3 Benchmark Software... 3 Power Management
Philips IntelliSpace Critical Care and Anesthesia on VMware vsphere 5.1 Jul 2013 D E P L O Y M E N T A N D T E C H N I C A L C O N S I D E R A T I O N S G U I D E Table of Contents Introduction... 3 VMware
IT Business Management System Requirements Guide IT Business Management 8.0 This document supports the version of each product listed and supports all subsequent versions until the document is replaced
Leveraging NIC Technology to Improve Network Performance in VMware vsphere Performance Study TECHNICAL WHITE PAPER Table of Contents Introduction... 3 Hardware Description... 3 List of Features... 4 NetQueue...
Performance Study of Oracle RAC on VMware vsphere 5.0 A Performance Study by VMware and EMC TECHNICAL WHITE PAPER Table of Contents Introduction... 3 Test Environment... 3 Hardware... 4 Software... 4 Workload...
Performance Study Virtualizing Performance-Critical Database Applications in VMware vsphere VMware vsphere 4.0 with ESX 4.0 VMware vsphere 4.0 with ESX 4.0 makes it easier than ever to virtualize demanding
Dell Virtualization Solution for Microsoft SQL Server 2012 using PowerEdge R820 This white paper discusses the SQL server workload consolidation capabilities of Dell PowerEdge R820 using Virtualization.
Virtualization Technologies and Blackboard: The Future of Blackboard Software on Multi-Core Technologies Kurt Klemperer, Principal System Performance Engineer firstname.lastname@example.org Agenda Session Length:
Technical Note Performance Analysis Methods ESX Server 3 The wide deployment of VMware Infrastructure 3 in today s enterprise environments has introduced a need for methods of optimizing the infrastructure
White Paper Dell Reference Configuration Deploying Oracle Database 11g R1 Enterprise Edition Real Application Clusters with Red Hat Enterprise Linux 5.1 and Oracle Enterprise Linux 5.1 On Dell PowerEdge
HP SN1000E 16 Gb Fibre Channel HBA Evaluation Evaluation report prepared under contract with Emulex Executive Summary The computing industry is experiencing an increasing demand for storage performance
Performance Study Performance of Virtualized SQL Server Based VMware vcenter Database VMware vsphere 4.1 VMware vsphere is a sound platform on which to virtualize SQL Server databases. One overlooked database
Virtualized Oracle Database Study Using Cisco Unified Computing System and EMC Unified Storage Technology Validation Report with Scale-Up, Scale-Out and Live Migration Tests White Paper January 2011 Contents
Introduction By leveraging the inherent benefits of a virtualization based platform, a Microsoft Exchange Server 2007 deployment on VMware Infrastructure 3 offers a variety of availability and recovery
Microsoft Exchange Server 3 Deployment Considerations for Small and Medium Businesses A Dell PowerEdge server can provide an effective platform for Microsoft Exchange Server 3. A team of Dell engineers
1 VMWARE WHITE PAPER Introduction This paper outlines the considerations that affect network throughput. The paper examines the applications deployed on top of a virtual infrastructure and discusses the
EMC Backup and Recovery for Microsoft SQL Server Enabled by Quest LiteSpeed Copyright 2010 EMC Corporation. All rights reserved. Published February, 2010 EMC believes the information in this publication
Performance brief for IBM WebSphere Application Server.0 with VMware ESX.0 on HP ProLiant DL0 G server Table of contents Executive summary... WebSphere test configuration... Server information... WebSphere
Oracle Database Deployments with EMC CLARiiON AX4 Storage Systems Applied Technology Abstract This white paper investigates configuration and replication choices for Oracle Database deployment with EMC
Enabling Technologies for Distributed Computing Dr. Sanjay P. Ahuja, Ph.D. Fidelity National Financial Distinguished Professor of CIS School of Computing, UNF Multi-core CPUs and Multithreading Technologies
EMC Solutions for Microsoft Exchange 2007 Virtualized Exchange 2007 Local Continuous Replication EMC Commercial Solutions Group Corporate Headquarters Hopkinton, MA 01748-9103 1-508-435-1000 www.emc.com
RED HAT ENTERPRISE VIRTUALIZATION FOR SERVERS: COMPETITIVE FEATURES RED HAT ENTERPRISE VIRTUALIZATION FOR SERVERS Server virtualization offers tremendous benefits for enterprise IT organizations server
Best Practices for Deploying SSDs in a Microsoft SQL Server 2008 OLTP Environment with Dell EqualLogic PS-Series Arrays Database Solutions Engineering By Murali Krishnan.K Dell Product Group October 2009
VMWARE PERFORMANCE STUDY VMware ESX Server 3 Ready Time Observations VMware ESX Server is a thin software layer designed to multiplex hardware resources efficiently among virtual machines running unmodified
Scaling in a Hypervisor Environment Richard McDougall Chief Performance Architect VMware VMware ESX Hypervisor Architecture Guest Monitor Guest TCP/IP Monitor (BT, HW, PV) File System CPU is controlled
Dell Migration Manager for Email Archives 7.3 SQL Best Practices 2016 Dell Inc. All rights reserved. This product is protected by U.S. and international copyright and intellectual property laws. Dell and
White Paper Zeus Traffic Manager VA Performance on vsphere 4 Zeus. Why wait Contents Introduction... 2 Test Setup... 2 System Under Test... 3 Hardware... 3 Native Software... 3 Virtual Appliance... 3 Benchmarks...
LAMP Performance Characterization and Sizing on VMware ESX Server 2.5.1 and Dell PowerEdge 1855 Blade Servers By Amresh Singh, J. Craig Lowery, Ph.D., C S Prasanna Nanda, Rudramuni B, and Scott Stanford
Microsoft SQL Server Enabled by EMC Celerra and Microsoft Hyper-V Copyright 2010 EMC Corporation. All rights reserved. Published February, 2010 EMC believes the information in this publication is accurate
Optimizing SQL Server Storage Performance with the PowerEdge R720 Choosing the best storage solution for optimal database performance Luis Acosta Solutions Performance Analysis Group Joe Noyola Advanced
White Paper Microsoft SQL Server 2012 on Cisco UCS with iscsi-based Storage Access in VMware ESX Virtualization Environment: Performance Study 2012 Cisco and/or its affiliates. All rights reserved. This
White Paper Virtualization Performance on SGI UV 2000 using Red Hat Enterprise Linux 6.3 KVM September, 2013 Author Sanhita Sarkar, Director of Engineering, SGI Abstract This paper describes how to implement
Technical Note ACE Management Server Deployment Guide VMware ACE 2.0 This technical note provides guidelines for the deployment of VMware ACE Management Servers, including capacity planning and best practices.
Best Practices Guide: Network Convergence with Emulex LP21000 CNA & VMware ESX Server How to deploy Converged Networking with VMware ESX Server 3.5 Using Emulex FCoE Technology Table of Contents Introduction...
High Performance SQL Server with Storage Center 6.4 All Flash Array Dell Storage November 2013 A Dell Compellent Technical White Paper Revisions Date November 2013 Description Initial release THIS WHITE
Parallels Virtuozzo Containers White Paper Top Ten Considerations For Choosing A Server Virtualization Technology www.parallels.com Version 1.0 Table of Contents Introduction... 3 Technology Overview...
WHITE PAPER DATA CENTER FABRIC Benchmarking Microsoft SQL Server Using VMware ESX Server 3.5 The results of a benchmarking study performed in Brocade test labs demonstrate that SQL Server can be deployed
EMC Solutions for Microsoft SQL Server 2005 on Windows 2003 in VMware ESX Server EMC CLARiiON CX3 Series FCP EMC Global Solutions 42 South Street Hopkinton, MA 01748-9103 1-508-435-1000 www.emc.com www.emc.com
Full and Para Virtualization Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF x86 Hardware Virtualization The x86 architecture offers four levels
Power Comparison of Dell PowerEdge 2950 using Intel X5355 and E5345 Quad Core Xeon Processors By Scott Hanson and Todd Muirhead Dell Enterprise Technology Center Dell Enterprise Technology Center dell.com/techcenter
WHITE PAPER FUJITSU PRIMERGY AND PRIMEPOWER SERVERS Performance Comparison of Fujitsu PRIMERGY and PRIMEPOWER Servers CHALLENGE Replace a Fujitsu PRIMEPOWER 2500 partition with a lower cost solution that
Citrix XenApp Server Deployment on VMware ESX at a Large Multi-National Insurance Company June 2010 TECHNICAL CASE STUDY Table of Contents Executive Summary...1 Customer Overview...1 Business Challenges...1
DELL Dell Microsoft Windows Server 2008 Hyper-V TM Reference Architecture VIRTUALIZATION SOLUTIONS ENGINEERING September 2008 1 THIS WHITE PAPER IS FOR INFORMATIONAL PURPOSES ONLY, AND MAY CONTAIN TYPOGRAPHICAL
Virtualizing SQL Server 2008 Using EMC VNX Series and Microsoft Windows Server 2008 R2 Hyper-V Copyright 2011 EMC Corporation. All rights reserved. Published February, 2011 EMC believes the information
EMC Business Continuity for Microsoft SQL Server 2008 Enabled by EMC Celerra Fibre Channel, EMC MirrorView, VMware Site Recovery Manager, and VMware vsphere 4 Reference Architecture Copyright 2009, 2010
TechTarget Data Center Media E-Guide Server Virtualization: Balancing CPU, Storage and Networking Demands Virtualization initiatives often become a balancing act for data center administrators, who are
Using VMWare VAAI for storage integration with Infortrend EonStor DS G7i Application Note Abstract: This document describes how VMware s vsphere Storage APIs (VAAI) can be integrated and used for accelerating
IOmark-VM DotHill AssuredSAN Pro 5000 Test Report: VM- 130816-a Test Report Date: 16, August 2013 Copyright 2010-2013 Evaluator Group, Inc. All rights reserved. IOmark-VM, IOmark-VDI, VDI-IOmark, and IOmark
EMC Solutions for Microsoft Exchange 2007 Virtualized Exchange 2007 Archiving with EMC EmailXtender/DiskXtender to EMC Centera EMC Commercial Solutions Group Corporate Headquarters Hopkinton, MA 01748-9103
HP ProLiant DL585 G5 earns #1 virtualization performance record on VMmark Benchmark HP Leadership»The HP ProLiant DL585 G5 is a highly manageable, rack optimized, four-socket server designed for maximum
Technical Note Using VMware ESX Server with IBM System Storage SAN Volume Controller ESX Server 3.0.2 This technical note discusses using ESX Server hosts with an IBM System Storage SAN Volume Controller
Improved Virtualization Performance with 9th Generation Servers David J. Morse Dell, Inc. August 2006 Contents Introduction... 4 VMware ESX Server 3.0... 4 SPECjbb2005... 4 BEA JRockit... 4 Hardware/Software