SolidFire Reference Architecture for VMware Horizon View

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1 The All-Flash Array Built for the Next Generation Data Center SolidFire Reference Architecture for VMware Horizon View

2 Table of Contents SolidFire Legal Notices Introduction Goals and Objectives Audience Summary of Key Findings Architecting a VDI Solution First Things First: Ask the Right Questions Associate Users and Resource Requirements Real-World Application Use Case Desktop Requirements Base Image Desktop Resource Requirements General Requirements Infrastructure Overview Server Configuration Network Configuration Storage Configuration Infrastructure VM Volumes Linked Clone Volumes ESX Configuration Datastores ESXi Optimizations VMware Horizon View Configuration VMware View Optimizations Testing Methodology Results LoginVSI Scoring Provisioning Desktops Boot Time Desktop Refresh View Storage Accelerator Virtual Desktop Efficiency Summary solidfire.com

3 SolidFire Legal Notices The software described in this user guide is furnished under a license agreement and may be used only in accordance with the terms of the agreement. Copyright Notice Copyright 2014 SolidFire, Inc. All Rights Reserved. Any technical documentation that is made available by SolidFire is the copyrighted work of SolidFire, Inc. and is owned by SolidFire, Inc. NO WARRANTY: The technical documentation that is made available by SolidFire, Inc. is delivered AS-IS, and SolidFire, Inc. makes no warranty as to its accuracy or use. Trademarks SolidFire is a U.S. registered trademark. SolidFire 3010, SolidFire 6010, SolidFire 9010, Element, and SolidFire Helix are U.S trademarks of SolidFire, Inc. Patent Pending U.S. Patent and Trademark Office 3 solidfire.com

4 Introduction With penetration rates of the professional PC market estimated between 2% to 2.5%, virtual desktop infrastructure (VDI) has struggled to achieve broader market acceptance across enterprises and service providers. Despite a seemingly compelling value proposition for both IT departments and as-a-service offerings, the inability of the vendor ecosystem to adequately address the challenges of user experience and the prohibitive VDI infrastructure costs have prevented better adoption rates. Storage in particular, historically accounting for a disproportionate share of VDI infrastructure costs, has been a prime suspect in the failure of many VDI projects. Traditional storage systems lack the performance, flexibility and scalability to keep pace with the unpredictable demands of VDI environments as they grow from proof-of-concept to production. The resulting capital and operating expenditures combined with the user experience impact of the various workarounds deployed (e.g. under-provisioning) to try and circumvent these storage deficiencies, effectively destroys the ROI of any VDI project. More recently, however, key advancements from the next generation storage systems in the areas of performance, quality of service, density and data reduction techniques have completely changed the economics of the storage infrastructure needed to ensure a successful VDI buildout. SolidFire provides granular quality-of-service controls for its scale-out block storage system that are uniquely suited to harness the mixed and unpredictable workload profiles that exist in a VDI environment. SolidFire s ability to guarantee storage performance, dynamically adjust storage resources on the fly without hardware reconfiguration, and linear and non-disruptive scale translate into significant user experience and infrastructure cost benefits throughout the lifecycle of a VDI deployment. The key to a successful storage deployment in a real-world VDI use case is a well-planned design in combination with the functionality available from SolidFire s storage platform. This VDI reference architecture walks through a commonly encountered VDI use case to illustrate key design considerations, best practices and resulting LoginVSI score when integrating a SolidFire storage system with VMware Horizon View. Goals and Objectives Customers will gain a greater understanding of how SolidFire storage can deliver significant advancements in the quality- of-service, scale and economics using VMware Horizon View to build a virtual desktop environment. With SolidFire at the base of the design, this document will outline a basic VDI infrastructure in support of a commonly encountered use case. This document will also highlight the key design considerations to help maximize user experience, simplify management and improve scalability while minimizing infrastructure costs. Audience This document is intended to assist solution architects, field engineers, consultants or IT administrators with a basic proof of concept design for a VMware Horizon View environment using SolidFire as the storage system. This document assumes the reader has a working knowledge of VMware vsphere, VMware Horizon View and related infrastructure components. 4 solidfire.com

5 Summary of Key Findings <2.5 hours 1,000 Desktops provisioned and ready to use < 3-Minutes 1,000 Desktops powered on via boot storm <13-Minutes All VMs available in Horizon View console after boot storm <18-minutes Pool refresh of 1,000 Desktops <$50 per desktop Achievable for both linked clones and full desktops 50,000 IOPS/U Host up to 1,000 desktops per rack U without sacrificing performance In addition to the significant operational benefits to be realized from the metrics in the table above, additional advantages realized from using SolidFire storage within your VMware Horizon View infrastructure include; Strong End User Experience - Our testing simulated a 1000 user environment based on a knowledge worker load. We leveraged LoginVSI as a load generator to validate the end user application response time. Low Cost per Desktop - As tested the SolidFire SF-3010 storage system can conservatively achieve a density of 1000 desktops per 1 rack unit (RU) at 50 IOPS per desktop. In a base 4 node configuration this equates to under $50/desktop. By leveraging SolidFire s cluster wide data reduction capabilities this cost per desktop can be realized with both linked clones and full desktops. Dedicated Performance with Shared Infrastructure Economics - SolidFire has the unique ability to run multiple different application workloads on the same storage platform. SolidFire s QoS allows an administrator to isolate and guarantee performance to each application, eliminating the need to use dedicated storage system for resource hungry workloads like VDI. Simplicity of Scale - The SolidFire architecture allows users to scale at a very granular level without downtime. Scaling performance and capacity to accommodate additional desktops is as simple as adding another node into the storage cluster and provisioning additional storage volumes to your vsphere environment. Design Adaptability - SolidFire provides the ability to adjust performance and capacity on the fly. This means that design requirements can be more dynamic, changing over time without downtime or penalty as workload profiles change. Controlling Unpredictable Workloads SolidFire has the ability to set a guaranteed minimum amount of IOPS, as well as maximum and burst IOPS values that the storage system will allow to accommodate performance variability. In addition to ensuring a quality user experience during steady state operations the system can also handle unexpected performance spikes without impacting other desktop or workload IOPS demands. Rapid Desktop Provisioning - SolidFire s all SSD scale-out architecture allows for provision desktops in bulk. Administrators can provision 1000 linked clone desktops or full desktops from scratch to ready for use in just over two hours. Economical Full Clones - By leveraging in-line compression and deduplication, VDI deployments using full clones will realize comparable data reduction efficiencies as using linked clones. Boot Time - By using an all SSD based architecture, SolidFire is able to deliver exceptional boot times without the additional design and management complexities of a tiered storage system. 5 solidfire.com

6 Architecting a VDI Solution First Things First: Ask the Right Questions There are many factors that need to be considered when attempting to design and architect a VDI Solution. These factors translate into questions that must be addressed up front in order to properly understand the overall performance characteristics and requirements necessary to build a well performing VDI Solution. These questions include: 1. How many desktops are you trying to virtualize? 2. Will the virtual desktops be full virtual machines, linked clones or a mixture? 3. What is the size of the hard disk per desktop? 4. How much CPU and RAM are assigned to each desktop? 5. What applications do the desktops need access to and what are the performance characteristics of these applications? 6. Will the desktops be persistent or non-persistent? 7. If the desktops are non-persistent, how often will they be re-created, refreshed, or re-composed? 8. How many different images or pools will need to be created? 9. What is the estimated IOPS requirement per Desktop? 10. How many desktops per volume or datastore? 11. How much video RAM is assigned to each desktop? 12. How many hosts are needed? 13. Do you need high availability? 14. How should I guarantee performance to the desktops? Associate Users and Resource Requirements Once critical requirements are gathered from the questions above you are much better suited to start thinking about the infrastructure required to accommodate your user base. To start this sizing exercise it is necessary to gain a deeper understanding of the different user profiles that must be accommodated. By categorizing the users, a better alignment between infrastructure requirements and aggregate desktop resource demand can be determined. The types of virtual desktop users are typically classified into four broad categories based on application usage and resource consumption: 1. Task Worker - a light/limited user who will only use between 1-5 applications on their desktop. A typical configuration for a Task Worker desktop is 1 vcpu, 1 GB RAM. 2. Office Worker - the standard employee, in most cases, using between 1-5 applications on their desktop in a more normal fashion. A typical configuration for a Knowledge Worker desktop is 1 vcpu, 1.5 GB RAM. 3. Knowledge Worker the user that will use more than 5 applications on a regular basis. A typical configuration for a Power User desktop is 2 vcpu, 2 GB RAM 4. Advanced Power Worker - the extreme user and that uses more than 5 applications on a regular basis with heavy usage. A typical configuration for an Advanced Power User desktop is 2+ vcpu, 2+ GB RA 6 solidfire.com

7 Real-World Application A knowledge worker environment is often encountered as a use case. Walking through this case in detail helps identify the key design considerations and best practices to help embrace and ensure a positive user experience. Use Case In this use case we are simulating a request to build an environment capable of hosting 1000 VDI desktops to be used in a call center. The IT department has decided to leverage VMware Horizon View 6 as the VDI brokering technology. The following are some of the key assumptions that we will refer back to throughout the duration of this use case example. Desktop Requirements This scenario will simulate a power user running multiple applications in parallel. This will ensure that we push our system resource limits exposing any potential bottlenecks. Base Image Operating System: Windows 8.1 Pro Update Applications: Microsoft Word, Microsoft Excel, Microsoft Powerpoint, Microsoft Outlook, Internet Explorer, Adobe Reader, Doro PDF Writer, LoginVSI photo viewer Desktop Resource Requirements 2 vcpu 2 GB RAM 60 GB of disk space 50 IOPS General Requirements All desktops should be configured identically providing the ability to rapidly apply updates to all 1000 desktops Must be able to perform some advanced Microsoft Excel calculations Must be able to host meetings using full screen PowerPoint presentations Must be able to use Microsoft Outlook for Must be able to accommodate to occasional watching of multimedia video and viewing of pictures contained in online web albums 7 solidfire.com

8 Infrastructure Overview A baseline of requirements has been established for the project, and some details have been narrowed down regarding the desktop usage, quantity, frequency of change, etc.. The attention can now be focused on the infrastructure that will support this initiative. When sizing the infrastructure it is a good idea to establish a maximum utilization rate relative to overall available capacity by reserving a percentage of the available resources (compute, network, and especially storage). Setting a maximum resource usage policy is a great protection mechanism to ensure actual resource usage doesn t overrun planned capacity. A maximum utilization rate of 80% of any datastore or volume is the industry wide recommendation most often observed. This provides a 20% reserve of buffer capacity to account for the time and overhead necessary to obtain additional resources. Use Case: Max Resource Utilization Target = 80% Server Configuration The IT department has identified server hardware for this use case that will be dedicated to this initiative. Eight dedicated servers with identical configurations have been allocated to this project. Each server has the following specifications: Network Configuration With a better understanding of the compute infrastructure the next step is to evaluate the networking requirements. The following will be used: 2 x 48-port 10GbE switches for the network connectivity, LAN connectivity and the IP Storage Network. 2 x 48-port 1GbE switches In this configuration, the 1GbE network connectivity is used for management traffic and the 10GbE network connectivity is used for both production virtual machine traffic and storage connectivity. The storage network has been configured using iscsi Port Binding on the ESXi hosts and round robin multipathing. Figure 1: iscsi Round Robin Configuration 8 solidfire.com

9 Storage Configuration A Solidfire SF-3010 system consisting of 4 storage nodes clustered together will be used for storage. The system is sized to deliver 48TB of effective capacity assuming 4x space efficiency with up to 200,000 IOPS of provisionable storage performance. The SolidFire cluster is the primary storage location for the management VMs, replica disks and virtual desktops. Storage provisioning with SolidFire is extremely simple. The SolidFire system asks the following questions so you can provision storage: 1. Who do you want to access the volume? 2. What do you want to name the volume? 3. What size should the volume be? 4. What are the Minimum, Maximum and Burst IOPS to assign to the volume? The administrator no longer needs to hassle with planning out LUNs, tiers, pools and drive spares. For the Call Center use case we used the following best practices help answer these questions and create volumes for the infrastructure VMs and virtual desktops. Infrastructure VM Volumes Our VDI test environment required several supporting infrastructure servers. For this environment we also created the following virtual machines. Table 1: Virtual Machine Configurations Server LoginVSI Launcher x2 View Connection Server AD/DNS/DHCP SQL Server VMware vcenter OS Windows 8.1 Win 2008 R2 Win 2008 R2 Win 2008 R2 Win 2008 R2 CPU 2 vcpu 4 vcpu 1 vcpu 2 vcpu 4 vcpu RAM 3 GB 12 GB 4 GB 8 GB 12 GB Disk 60 GB 80 GB 60 GB 100 GB 120 GB Note: For a production environment it is recommended that you also implement load balancers and View security servers to the infrastructure as well as ensure that the infrastructure servers are highly available. 9 solidfire.com

10 Linked Clone Volumes The 1000 virtual desktops were evenly spread across 20 SolidFire volumes, 50 desktops per volume. To help calculate how much space we needed per linked clone volume we followed VMware s formula for creating linked clones at 50% utilization Volume Size = number of VMs * (50% of replica disk + size of.vswp file per virtual desktop) + 2x replica disk Use Case Example: Volume Size = 50 VMs * (30GB + 1GB) + 120GB = 1670GB Volume To maintain a maximum of 80% full threshold an additional 20% capacity for overhead was added to each datastore to bring the total size for each desktop datastore to an even 2TB. If the desktops will be deployed as full clones with eagerzeroedthick (EZT) disks use the following example. Volume Size = (number of VMs per volume * (OS Disk Size + size of.vswp file per virtual desktop)) * 1.2 Use Case Example: Volume Size = (50 VMs * (60GB + 1GB)) *1.2 = 3660 GB Volume To provision the virtual desktop datastore volumes, the QoS settings must be determined. SolidFire supports applying a minimum, maximum and burst IOPS for each volume. To calculate the minimum IOPS for linked clone volumes, take the number of desktops in the volume and multiply that by the required IOPS per desktop. For the Call Center use case these metrics were 50 desktops per volume * 50 IOPS per desktop. This calculated to 2,500 IOPS for this example but can easily be changed on the fly if required. The maximum IOPS is the maximum sustained IO threshold of the volume. For this example it was set to 10,000. The burst IOPS is the maximum peak IO threshold the volume will be allowed to attain for a short period in order to handle transient IO peaks. The maximum IOPS and burst IOPS are not guaranteed by the system. A volume will only be allowed to leverage the maximum and burst I/O values so long as there are sufficient resources available in the system. 10 solidfire.com

11 Important Note: The max IOPS of 10,000 and burst IOPS of 15,000 are designed to allow the virtual desktops to consume more than the minimum of 50 IOPS per desktop during operations like provisioning, recomposing, and other IO heavy events. These values proved to offer great performance while controlling the absolute amount of IO the desktops could consume from the system. In the following tests, the performance of the desktops are sometimes bound by these QoS settings which is the intended outcome. That is, to provide great performance without allowing a single workload to monopolize the system, unless so desired. The QoS policies allow enforcing performance thresholds on a workload to facilitate safe sharing of system resources between competing workloads. If the absolute fastest outcome is required the QoS maximum and burst settings can be set to 100,000 for each volume which will allow the desktops to consume as much IO as their queue depth and latency will allow. ESX Configuration Figure 4: Virtual Switch Network A vsphere Cluster consisting of 8 hosts with ESXi were used for this testing. Each ESXi host had two virtual switches. vswitch0 used 2 x 1Gb uplinks for management traffic and vswitch1 used 2 x 10Gb uplinks for desktop and iscsi traffic. The port groups for iscsi traffic were configured with an MTU setting of 9000 to allow jumbo frames. Two port groups, each with a VMK, were configured with the same VLAN were dedicated for storage traffic. An additional port group on a separate VLAN was used for the virtual machine traffic. The iscsi configuration leveraged iscsi port binding and the multipathing selection was round robin. 11 solidfire.com

12 Each of the VMKernel ports were bound to a vmnic uplink through the use of iscsi port binding. The port group for each VMKernel port had a single adapter bound to it with the other uplink left in the unused state as shown in the example for the iscsi port group. Figure 5: iscsi Port Binding Datastores SolidFire s scale-out architecture is designed to support 1000 s of volumes in parallel. Using more volumes helps distribute the load across the system and reduces the impact of resource hungry virtual machines. Formula: Number of datastores = number of desktops / # of desktops per datastore Use Case: Number of datastores = 1000 desktops / 50 desktops per volume = solidfire.com

13 Figure 6: VMware Datastore Configuration ESXi Optimizations The following optimizations were made to ESXi to increase performance for datastores used to store virtual desktops. Setting Default Value Recommended Value Notes iscsivmk_lunqdepth esxcli system module parameters set -m iscsi_vmk -p iscsivmk_lunqdepth=256 SchedNumReqOutstanding esxcfg-advcfg set 64 /Disk/ SchedNumReqOutstanding 13 solidfire.com

14 SOLIDFIRE VMware Horizon View Configuration VMware Horizon View 6 was used to create the desktop pool and provision the 1000 linked clone virtual desktops used in the testing. View Composer 6 was installed on a separate server to maximize performance capability. A single pool with 1000 linked clones was provisioned as shown in this figure. Figure 7: Linked Clone Pool Settings VMware View Optimizations The following optimizations were made to increase the number of parallel tasks initiated by View. These settings can be found in the Horizon View Administrator web interface under View Configuration -> Servers -> vcenter Servers -> vcenter Server Settings Setting Default Value Recommended Value Max View Composer maintenance Operations Max View Composer provisioning operations 8 24 Additionally, many of the optimizations for Windows 8.1 from the Optimization Guide for Windows 7 and Windows 8 Virtual Desktops in Horizon with View were followed. This VMware white paper can be accessed at 14 solidfire.com

15 Testing Methodology LoginVSI 4.1 was used to validate the overall performance of the various scenarios presented within this solution guide. LoginVSI is a tool designed to simulate a large-scale deployment of virtualized desktop systems and study its effects on an entire virtualized infrastructure. The tool scales from a few virtual machines running on one VMware ESX host up to hundreds of virtual machines distributed across a cluster of ESX hosts. LoginVSI assists in the setup and configuration of the testing infrastructure, runs a set of application operations emulating real-world user applications, and reports data on the latencies of those operations. The tool is highly flexible and accommodates many testing and usage scenarios. The LoginVSI tool consists of various applications performing various user operations. The operations create load on the desktop and then LoginVSI measures the response time of the applications to determine the quality of service. The output of the LoginVSI tool is a report on application response time. A system nearing saturation will see increasing response times and reach VSIMax if overloaded to the point that application response times suffers. If the system does not reach VSIMax, then the user experience is acceptable for the given test. A Windows 8.1 master image was created for the call center use case. The image was then used as the master image during the pool creation in VMware Horizon View to deploy the 1000 desktops used during the workload testing. Figure 8: LoginVSI Test Running 15 solidfire.com

16 Results LoginVSI Scoring The first objective was to validate interoperability. This was achieved by successfully provisioning a 1000 seat Call Center environment designed for unpredictable workloads at a cost of less than $50 per desktop using VMware Horizon View / SolidFire together. The second objective was to provide an exceptional user experience. The LoginVSI tool was used to measure the success of this objective. The LoginVSI test completed successfully without reaching VSIMax. Figure 9: LoginVSI Results Note: The Enable Profile Create Mode option was NOT selected for the LoginVSI run. This gives a worst case result in that the user has never connected to the virtual desktop previously before the test was run. This most closely approximates a use case where floating pools are used. In cases where users reconnect to the same machine again, this overhead associated with profile creation would not be present, further increasing the performance of the desktops. 16 solidfire.com

17 While a passing LoginVSI test is one measure of a systems performance, it is also useful to look at more familiar metrics achieved during realworld operations. For a traditional VMware administrator the actual time required to provision or refresh desktops often carries more weight than a strong synthetic test score. To accommodate the audience in this test we recorded elapsed time required for the SolidFire system to perform certain critical operations. Provisioning Desktops The VMware View Composer linked clone technology can significantly reduce deployment time of virtual desktops in a VDI environment. Though this is traditionally difficult to achieve when using legacy storage systems, the SolidFire all-ssd architecture allows an administrator to consistently and rapidly achieve these results due to minimized latency and QoS burst capabilities desktops were provisioned and ready in Horizon in two and a half hours. 17 solidfire.com

18 Boot Time The storage system has a direct impact on the time it takes to boot up a desktop. A traditional storage system is bound by the number of disks in a RAID group. For faster boot times, more HDDs are required. This requires a tradeoff of capacity for the additional IOPS. To offset this, traditional storage systems will add a tier of Solid State Drives to cache the hot portions of VMs for quicker boot. However, this is a reactive solution that can only help with repetitive access and does nothing to accelerate newly placed data. SolidFire is able to deliver exceptional boot times without the additional design and management complexities of a tiered storage system by using an all SSD based architecture. In the Call Center use case we were able power up all 1000 desktops, a worst-case scenario, in under three minutes. All VMs were available in the Horizon admin console within 13 minutes. The time required to make all VMs available could have been made shorter if higher QoS values were applied to the desktop datastores. Additionally, it was observed if View Storage Accelerator is enabled the desktops become available in View in as little as 6 minutes. 18 solidfire.com

19 Desktop Refresh A refresh operation reverts the virtual desktop to its initial deployed state. All changes made by users to the desktop are discarded during this process and it is a very IO intensive operation. SolidFire was able to refresh the entire 1000 desktop pool in under 18 minutes. View Storage Accelerator Horizon View is capable of leveraging a small amount of RAM on the ESXi hosts for the View Storage Accelerator also known as the content based read cache (CBRC). It is recommended this option be enabled so that commonly read data from the virtual desktops can quickly be serviced out of the ESXi host memory. Note that enabling View Storage Accelerator will increase deployment time somewhat as a virtual disk digest file will be created for each virtual desktop during deployment. If speed of deployment is critical or ESXi host memory is severely limited consider disabling View Storage Accelerator. The following figure shows the system load during the deployment and subsequent boot storm test with and without storage acceleration enabled. Notice the reduction in read traffic with CBRC enabled. All the performance results in this paper are observed with CBRC disabled to highlight the capabilities of the SolidFire system. However, in production it is recommended CBRC be enabled to further increase performance of the virtualized desktops. 19 solidfire.com

20 20 solidfire.com

21 Virtual Desktop Efficiency Using SolidFire s in-line compression and deduplication, VDI deployments using full clones will realize comparable space savings as deployments with linked clones The majority of the data reduction in a linked clone deployment came from VMware Horizon View as each desktop shares the parent virtual machine. Even so, SolidFire s in-line compression and deduplication reduced the on-disk footprint of linked clones by over 54x (2.27*23.84). Example SolidFire Data Efficiency with 1000 LinkedClones (54x reduction) A full clone deployment utilizes individual virtual machines, which are not shared with a single parent image as is the case with linked clones. SolidFire is able to compress then deduplicate redundant data on each desktop as it was provisioned. Looking specifically at data reduction (compression * deduplication), SolidFire was able to reduce the space consumed by full desktops with thin provisioned disks and eagerzeroredthick disks by over 76x and 124x respectively Example SolidFire Data Efficiency with 1000 full desktops with thin provisioned disks - 76x reduction. Example SolidFire Data Efficiency with 1000 full desktops with EZT disks - 124x reduction 21 solidfire.com

22 Summary The SolidFire performance results shown above, along with the key design considerations outlined at the outset of this document, should help you gain increased confidence in deploying SolidFire storage in your VDI infrastructure. The Call Center use case was meant to demonstrate how to approach a real-life design, how to apply user requirements to the design and then prove out the design on a SolidFire system. The goal of this paper has been to highlight the following areas: General VDI architecture design Storage configuration guidelines VMware networking configuration VMware Horizon View configuration Test results validating the configuration The guidance provided in this reference architecture is sufficient to allow organizations to deploy a similar configuration for implementing a large scale VDI solution. This reference architecture has shown how SolidFire can easily handle the performance requirements of a 1000 user virtual desktop implementation while significantly reducing the complexity, cost and time required to provision storage resources for use in virtual desktop and mixed workload use cases. If you would like to learn more about SolidFire VDI solutions please contact your local sales representative, info@solidfire.com or visit the SolidFire VDI solution page for more information. 22 solidfire.com

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