Erik Ableson & Vincent Branger: What's best for vdi storage optimisation hardware or software?

VDI Storage optimization:
software vs hardware debate

• Association between
• Infralys
• Coretek
• Infrageeks

Both have remotes - fighting over slides

Vincent Branger
vs
Erik Ableson

Vincent Branger Erik Ableson
Software Hardware

Vincent
• Cloud & Virtualization Senior
consultant
• Works with Citrix portfolio since 1999
(Prologue...)
• Infralys/Ilki Co-Founder with Gaël
Corlay

Things we agree on
Whisky is good

Erik
• IT generalist for 25+ years, focussed
on new technologies
• Cloud & Virtualization Senior
consultant
• Particular attention to storage
Varied background starting in Canada plus a few years in the US and then onto France.
Trying to keep up and integrating new ways of doing things
- early virtualization adopter, bringing consulting teams up to speed
Lots of boutique implementations more than big scale stuff

VDI Challenge:
legacy storage is not up to the task

“We can do VDI now.
Virtual Graphics cards.
VDI specific storage solutions.”
–Brian 2013

Two approaches
• Software optimised
• Hardware accelerated

…software because
• It's obviously less expensive than
hardware
• It’s an investment that lasts beyond
this year’s hardware
• It has predictable performance
compared to storage
Vincent

…software because
• It's obviously less expensive than
hardware
• It’s an investment that lasts beyond
this year’s hardware
• It has predictable performance
compared to storage
legacy
Vincent

Some solutions in this space
• Atlantis ILIO VDI
• Liquidware Labs FlexIO
• Nexenta
FlexApp Application
Virtualization Technology
Whitepaper

…hardware because:
• It keeps getting faster and cheaper
• Until legacy storage is replaced, I like
my VDI stuff separate
• Software has to run on something…

• Legacy storage optimization
• PernixData FVP
• OCZ VXL
• Next generation storage
• VSAN, Nutanix, Nimble Storage,
Pure Storage, Coho Data, …
CUSTOMER enterprise
Empowering Enterprise Applications with Optimized
Flash Hardware and Software
Tidelands Bank Cashes in on
Citrix XenDesktop Performance
with PernixData FVP™
White Paper
Moving to Flash Storage
Tidelands Bank is a local bank focused on serving the coastal communities of South
Carolina. Their first branch opened in 2003 and they now have seven locations throughout
the state.
Mitch Lane (anonymized for security), the IT Director at Tidelands, had a problem with
aging desktops. Many of them were four to five years old and running Windows XP. They
needed to be replaced and Lane wanted to use $300 thin clients instead of $600 PCs.
Lane’s plan was to deploy Citrix XenDesktop to all employees, with VMware vSphere on
the backend.
When the bank first tried their Virtual Desktop Infrastructure (VDI) in a small proof-of-concept
(about 20 users), everything performed great. However, as they grew their
VDI user base, application latency become unacceptable, resulting in numerous user
complaints. The servers had just been upgraded, so the problem was likely elsewhere.
Lane did some root cause analysis and it became clear that the Storage Area Network
(SAN) was the culprit. “When I looked in vCenter, the server CPUs and RAM were both
under 50% throughout the day, but utilization in our iSCSI SAN was over 80%,” said Lane.
“I clearly did not have enough IOPS to support my virtual desktop requirements.”
At first, Lane looked at adding spinning disks to his SAN. He priced out a tray of iSCSI
15K disks, which would have given 1,200 more IOPS per shelf for approximately $25,000.
But Lane wondered, “Even if I spend the money on more disks, would the problem really
be solved?” He feared that he would have to keep adding more shelves as his VDI
deployment grew, bringing the total SAN upgrade costs to around $100,000.
Instead, Lane turned his attention to Flash. “I know flash storage provides orders of
magnitude more IOPS than spinning disks,” Lane stated, “but my SAN didn’t support flash
storage.” Since Lane wasn’t interested in a ripping out his current SAN just to add Flash,
Lane looked at server-side Flash. “By locating Flash in the server, the extra performance is
right where I need it,” said Lane. “Now I needed a software solution that would make the
INDUSTRY:
Banking
RESULTS:
• Citrix XenDesktop • 1,000 IOPS per desktop
• More than 100K IOPS • SQL VM with 360 • Saved over $83,000 upgrading SAN
“On one hand, had to spend about my SAN and cross that it would be our latency issues. hand, I could spend on FVP and get enough IOPS to latency problem was a pretty easy with senior management.”
The Combination of Optimal Flash Caching with Accelerated I/O
Access Delivers a Leading-Edge Flash Implementation
Allon Cohen, PHD
Scott Harlin
OCZ Technology Group

• Legacy storage optimization
• PernixData FVP
• OCZ VXL
improve performance; and create a continuously available storage
solution. Active-Active Mirroring provides all of these benefits and
requires no additional software on the host or cluster.
9950 Federal Drive, Suite 100 | Colorado Springs, CO 80921 | U.S. >> 1.866.472.6764 | International. >> +1.719.388.5500
www.x-io.com
X-IO, X-IO Technologies, ISE and CADP are trademarks of Xiotech Corporation. Product names mentioned herein registered trademarks of their respective companies. © Xiotech Corporation. All rights reserved. Document Number Proactive Services with Active Watch
World-class customer service is a top priority for X-IO. X-IO supports its customers using best-in-class the native (and no-cost) phone-home support called Active Watch. Active Watch regularly reports complete telemetry on each ISE and reports failure-predictive conditions and events. Active Watch is tied into database to ensure support cases are generated automatically when it is time for an ISE to send an cases handled today by X-IO’s technical support staff are automatically generated by Active Watch, exceptional customer experience and a faster time to resolution.
Flash-Optimized Hybrid Storage Arrays “With Nimble we have reduced
• Next generation storage
• VSAN, Nutanix, Nimble Storage,
Pure Storage, Coho Data, …
CUSTOMER enterprise
Empowering Enterprise Applications with Optimized
Flash Hardware and Software
Tidelands Bank Cashes in on
Citrix XenDesktop Performance
with PernixData FVP™
White Paper
Moving to Flash Storage
Tidelands Bank is a local Our Customers bank focused Protect
on serving the coastal communities of South
Carolina. Their first branch 5x More opened Apps
in 2003 and they now have seven locations throughout
the state.
% OF WORKLOADS REPLICATED FOR
DISASTER RECOVERY
51%
Mitch Lane (anonymized Actual Results for for security), All Nimble Storage Customers
the IT Director at Tidelands, had a problem with
% OF WORKLOADS REPLICATED FOR
aging desktops. Many of them DISASTER RECOVERY
were four to five years old and running Windows XP. They
needed to be replaced and Lane wanted to 51%
use $300 thin clients instead of $600 PCs.
Actual Results for All Nimble Storage Customers
Lane’s plan was to deploy Citrix XenDesktop to all employees, with VMware vSphere on
the backend.
When the bank first tried their Virtual Desktop Infrastructure (VDI) in a small proof-of-concept
(about 20 users), everything performed great. However, as they grew their
VDI user base, application latency become unacceptable, resulting in numerous user
complaints. The servers had just been upgraded, so the problem was likely elsewhere.
Lane did some root cause analysis and it became clear that the Storage Area Network
(SAN) was the culprit. “When I looked in vCenter, the server CPUs and RAM were both
under 50% throughout the day, but utilization in our iSCSI SAN was over 80%,” said Lane.
“I clearly did not have enough IOPS to support my virtual desktop requirements.”
At first, Lane looked at adding spinning disks to his SAN. He priced out a tray of iSCSI
15K disks, which would have given 1,200 more IOPS per shelf for approximately $25,000.
But Lane wondered, “Even if I spend the money on more disks, would the problem really
be solved?” He feared that he would have to keep adding more shelves as his VDI
deployment grew, bringing the total SAN upgrade costs to around $100,000.
Instead, Lane turned his attention to Flash. “I know flash storage provides orders of
magnitude more IOPS than spinning disks,” Lane stated, “but my SAN didn’t support flash
storage.” Since Lane wasn’t interested in a ripping out his current SAN just to add Flash,
Lane looked at server-side Flash. “By locating Flash in the server, the extra performance is
right where I need it,” said Lane. “Now I needed a software solution that would make the
INDUSTRY:
Banking
RESULTS:
• Citrix XenDesktop • 1,000 IOPS per desktop
• More than 100K IOPS • SQL VM with 360 • Saved over $83,000 upgrading SAN
“On one hand, had to spend about my SAN and cross that it would be our latency issues. hand, I could spend on FVP and get enough IOPS to latency problem was a pretty easy with senior management.”
The Combination of Optimal Flash Caching with Accelerated I/O
Access Delivers a Leading-Edge Flash Implementation
Allon Cohen, PHD
Scott Harlin
OCZ Technology Group
DATA SHEET
Tintri VMstore™ smart storage is designed to address the needs of virtualization and
cloud environments. Traditional storage is a mismatch for the specialized demands of
virtualization, requiring complex confi guration, signifi cant over-provisioning and ongoing
optimization and management. VMstore addresses the challenges traditional storage
platforms pose when virtualizing critical server workloads such as Microsoft® Exchange®,
Microsoft® SQL Server®, Microsoft® SharePoint®, Oracle® and SAP® databases as well as
end-user desktops.
Built using the industry’s fi rst and leading application-aware storage architecture, the
fourth-generation Tintri VMstore T600 series operates at the VM and vDisk level—
seeing and adapting to rapidly-changing workloads, eliminating mundane storage
management tasks and delivering substantial improvements in performance and density
over legacy storage. Tintri VMstore T600 series is ideal for midsize and large enterprise
virtual environments with a variety of workloads such as VDI deployments with mixed
end-users, business-critical applications and development and test environments.
Whether you are an IT architect, administrator or manager, Tintri VMstore can help you:
Realize the full potential of virtualization
with intelligent storage.
• Set-up in minutes with support for multiple VMware vCenter servers. Only deal
with auto aligned VMs and vDisks, not LUNs and volumes—eliminate any complex
confi guration or ongoing tuning.
• Get the performance of fl ash with the economics of HDD with Tintri Flash First
Design, delivering 99 percent of IO from fl ash.
• Serve hundreds of diŪ erent types of VM workloads from a single VMstore with vDisk-level
QoS and performance allocation—eradicate the impact from noisy neighbors
on other virtual workloads.
Eliminate bottlenecks and troubleshooting
overhead with infrastructure insight.
• Get a single view of all VMs stored and identify performance and capacity trends
without dealing with underlying storage.
• Instantly identify performance hot spots at the hypervisor, network and storage levels
with comprehensive performance visualization.
• Leverage Tintri Global Center to monitor and administer multiple VMstore systems
and resident VMs from a single control pane.
Stay in control of virtualization environment while VMstore
Highlights
Storage that Sees:
• Designed specifi cally for
virtualized applications, VMstore
automatically confi gures based on your environment provides a complete end-view of all virtual workloads.
Storage the Learns:
• VMstore maintains constant
communication with your virtualized environment. changing VMs are tracked highlighted so you have a moment-by-moment basis.
Storage that Adapts:
• Because of unique per-VM management and operations,
VMstore can make adjustments
including QoS and auto-to maintain the best service virtualized applications.
“Compared to our previous
storage, Tintri VMstore
can run ten times the in less than a tenth of
the data center footprint,
and reduce latency percent at the same They helped us realize
a fundamental goal virtualization: consolidating
Tintri VMstore™ T600 Series
&OHJOFFSFEGPSGæDJFODZ
Demands for better storage performance, scalability, data protection, and simplicity continue
to grow in today’s datacenter. The rapid adoption of virtualization and server consolidation has
further compounded the need for network storage that can keep up with these demands.
Nimble Storage makes it possible for IT to tackle them all head on.
Nimble Storage designed its Cache Accelerated Sequential Layout (CASLTM) architecture to
help large and small IT organizations address their storage challenges. As the industry’s first
flash-optimized storage architecture designed from the ground up, CASL effectively combines
the performance of flash for reads with a unique data layout optimized for writes. The result is
high-performance, efficient storage. CASL also includes integrated data protection and
management functionality required by today’s demanding applications, eliminating the need for
separate backup storage solutions and tools. These characteristics make the Nimble Storage
CS-Series the ideal storage platform for mainstream IT applications in a variety of environ-ments,
ranging from midsize deployments with hundreds of users to large enterprises with
thousands of employees.
Nimble Storage CS200 and
CS400 Series
Choosing the right Nimble Storage array is
simple. The CS200 Series is a good fit for
midsize businesses or distributed sites of
larger organizations, supporting workloads
such as Microsoft applications, VDI, or
virtual server consolidation. For IO-intensive
workloads, such as transaction processing
supported by Oracle or large-scale VDI
deployments, the CS400 Series delivers
higher performance. Nimble Storage arrays
come standard with full software functionality,
so there are no hidden costs.
4DBMFUP'JUXJUI4DBMF0VU
SDIJUFDUVSF
CASL’s scale-to-fit capabilities make it
easy to non-disruptively scale the CS-Series
to meet both the growing capacity and
performance needs of today’s datacenter.
Storage can be scaled to hundreds of
terabytes by adding disk shelves.
Performance can be enhanced through
the addition of higher capacity SSDs able to
support larger amounts of active data. For
additional throughput, a CS200 system can
be upgraded to a CS400 non-disruptively.
Nimble Storage also enables scaling of
performance and capacity beyond the
physical limitations of a single array, to a
storage cluster comprised of any combina-tion
of Nimble arrays. This seamless scaling
of performance and capacity can help elimi-nate
performance hotspots and storage silos,
enabling substantial management efficiency
and extending overall storage investment.
Nimble Storage hybrid arrays deliver the
right mix of high performance and efficient
capacity for mainstream workloads in IT
organizations of all sizes.
power consumption, cooling needs
and rack usage, eliminated tra-ditional
backup and associated
backup windows, shortened our
recovery point objective, improved
server performance, and improved
perceived user experience.”
Lucas Clara
Director of Information Technology
Foster Pepper PLLC
0.67 ms (All Nimble Storage Customers)
Write
Latency
1-4 ms (Tiered Systems with Flash)
Read
Latency
0.5 ms (Nimble Customers on VMware)
5-10 ms (Disk-Based Systems)
Measured Across Entire
Nimble Storage Installed Base
(March 2012 to March 2013)
10%
Industry Average (Source: IDC)
% of Workloads Replicated for Disaster Recovery
0.67 ms (All Nimble Storage Customers)
Write
Latency
1-4 ms (Tiered Systems with Flash)
Read
Latency
0.5 ms (Nimble Customers on VMware)
5-10 ms (Disk-Based Systems)
Measured Across Entire
Nimble Storage Installed Base
(March 2012 to March 2013)
10%
Industry Average (Source: IDC)
% of Workloads Replicated for Disaster Recovery
Our Customers Access Data
10x Faster
Our Customers Enjoy
Virtually Zero Downtime
C S - S E R I E S D ATA S H E E T
Kaminario K2 SPEAR
White Paper

Pernix FVP
• Hypervisor SSD caching layer
• Integrated into the ESXi storage stack (VIB install)
• Read caching with optional read/write
• Clustered for data reliability
• Generic solution to accelerate any kind of shared back end storage
NFS, iSCSI, FC

Pernix FVP
Frequently linked to FusionIO

OCZ VXL
• A scale-out cache/storage hybrid
• Optimized for the OCZ Z-Drive PCIe SSDs
• Republishes shared block storage over iSCSI
• Or used as primary storage

OCZ VXL Architecture
iSCSI
vSwitch
iSCSI
vSwitch

New hardware
• Next generation flash optimized storage
• All-flash
• Hybrid
• Too many to list all of them
• Xtreme-IO, Coho Data, X-IO, Tegile, Invicta, Pure Storage, Nimble Storage
Kaminario, RamSAN, Violin Memory, Solidfire, Tintri, Infinio, Skyera, …
• Not to mention all of the traditional players…

Next Generation Storage
All flash: Pure Storage
Hybrid array: Nimble Storage, Tintri
Scale out array: Solidfire
Unified name space: Coho Data
Hyperconverged: VSAN, Nutanix, Simplivity, Scaleio

All Flash Arrays

Hybrid Arrays

Scale-out clusters

Unified Namespace
Scale-out clusters

“Hyperconvergence”

Focussing on VDI
• Greenbytes vIO
• Nexenta

Atlantis ILIO VDI
• Storage optimizations through
software
• In-memory storage
• First product for VDI only
• Then XenApp
• Then for all workloads (USX)

Architecture
• Diskless VDI
• Persistent VDI : disk backed
• Persistent VDI : In memory
Deduplication
IO coalescing…

Architecture
• Diskless VDI
• Persistent VDI : disk backed
• Persistent VDI : In memory

My experiences
• Several projects from 100 to 2000
users
• XenDesktop/XenServer View/
vSphere
• Amazing UX especially with diskless

Liquidware FlexIO
• RAM cache and compression
mechanisms
• Reads and writes caching
• For non-persistent only
• Easy to implement
FlexApp Application
Virtualization Technology
Whitepaper
These approaches are the closest to the hypervisor layer.
Nexenta offers a slightly different approach.

NexentaConnect
• Virtual appliance based on ZFS
• Publish storage : NFS, iSCSI
• De facto all ZFS optimizations
• Write and reads caching
• I/O coalescing
• Fast cloning
• Inline deduplication...
Vincent: OK - this seems to be closer to the hardware than I thought
Erik: Yup - the ZFS architecture is pretty focussed on getting the most out of hybrid hardware. In fact, Greenbytes also uses a ZFS core…

Greenbytes
• Architecture
• Core is ZFS, similar to Nexenta
• Deployment model is a VM on top of an SSD backed datastore
• Features
• VDI optimized dedup algorithm - much faster
And also available in a pure hardware form!

NexentaStor
• L2ARC - Expand the memory caching with SSD
• Cheaper than RAM!
• Excellent performance
Budget by requirement; PCIe vs SAS SSD vs SATA SSD.
Economics are pushing towards SSD
Vincent - review the stack

Desktop down
create ramdisk format pool, present NFS
Not marketed or supported AFAIK as a solution, but the commands are certainly available

Desktop down
Desktop Image

Desktop down
Desktop Image
NFS Share

Desktop down
Desktop Image
NFS Share
ARC (RAM Cache)

Desktop down
Desktop Image
NFS Share
ARC (RAM Cache) L2ARC (SSD Cache)

Desktop down
Desktop Image
NFS Share
zpool

Desktop down
Desktop Image
NFS Share
zpool
block devices (disk, SSD)

Non persistent
Desktop Image
NFS Share /exports/ILIO_VirtualDesktops

Non persistent
Desktop Image
NFS Share
RAM Disk
/exports/ILIO_VirtualDesktops
/dev/ram0 (zram=compressed)
filesystem = “dedup”

Persistent
Desktop Image
NFS Share
RAM Disk

Persistent
Desktop Image
NFS Share
RAM Disk
RAID 1 Mirror

Persistent
Desktop Image
NFS Share
RAID 1 Mirror
File RAM Disk

Persistent
Desktop Image
NFS Share
RAM Disk
File
NFS Share
RAID 1 Mirror

Persistent
Desktop Image
NFS Share
RAM Disk
File
NFS Share
RAID 1 Mirror
Shared storage

Cheating…
• It’s not as VDI optimized, but :

Cheating…
# sudo ramdisk -a 100G vdi_ramdisk

Cheating…
# zpool create vdipool mirror /dev/vdi_ramdisk /mnt/
nfs/remotedisk

Cheating…
nfs/remotedisk
# zpool dedup=on vdipool

Cheating…
nfs/remotedisk
# zpool dedup=on vdipool
# zpool primarycache=off vdipool

Comparison
Atlantis ILIO
Diskless
Atlantis ILIO
Persistent
Liquidware FlexIO GreenBytes vIO NexentaConnect
RAM Caching Yes Yes Yes Yes Yes
Deduplication Yes Yes No Yes Yes
Compression Yes Yes Yes Yes Yes
Write Coalescing Yes Yes No Yes Yes
Publish iSCSI Yes Yes No Yes Yes
Publish NFS Yes Yes Yes Yes Yes
Storage RAM Disk Shared disk Local disk SSD Local/Shared Disk
Licensing $/Named User $/Named User $/Host $/Tb SSD Storage $/Host
Key takeaways - all of them work and work well. But licensing is be completely different by solution

Projects
• 200 Users
• 100 Persistent
• 100 Non-persistent
• Image 50 GB
• 3 Servers

Projects
• 200 Users
• 100 Persistent
• Image 50 GB
• 3 Servers
Atlantis ILIO
22 k€

Projects
• 200 Users
• 100 Persistent
• Image 50 GB
• 3 Servers
Atlantis ILIO
22 k€
GreenBytes vIO
18 k€

Tradeoffs
16 GB RDIMMs ~$12/GB Kingston RAM

Tradeoffs
PCIe Flash ~$3-8/GB OCZ/Fusion-IO

Tradeoffs
SATA SSD ~$0,76/GB
Samsung Evo
Pro

Tradeoffs
SATA SSD ~$0,76/GB
Samsung Evo
Pro
100GB cache layer
1 200 $US
500 $US
76 $US

Tradeoffs
SATA SSD ~$0,76/GB
Samsung Evo
Pro
100GB cache layer
1 200 $US
500 $US
76 $US
Latency Bandwidth
Nanoseconds ~20 GB/s
Microseconds ~15 GB/s
Millisecond ~1,2 GB/s

Tradeoffs
SATA SSD ~$0,76/GB
Samsung Evo
Pro
100GB cache layer
1 200 $US
500 $US
76 $US
Latency Bandwidth
Nanoseconds ~20 GB/s
Microseconds ~15 GB/s
* Millisecond ~1,2 GB/s

*
Vibration • Read warranties carefully before buying
• Samsung EVO
!
• Samsung Evo Pro
3
Weight Max. 54g (128GB/256GB/512GB)
Reliability MTBF: 1.5 million hours
Power Consumption Average : 0.069W ** (Typical)
Idle : 0.054W (Typical, DIPM ON), 0.349W (Typical, DIPM OFF)
Temperature Operating:
Non-Operating:
0°C to 70°C
-55°C to 95°C
Humidity 5% to 95%, non-condensing
Vibration Non-Operating: 20 ~ 2000Hz, 20G
Shock 1500G 0.5ms (Half sine)
Warranty 5 years limited (client PC use only)***
System Configuration : Intel Core i7-3770 @ 3.4GHz, 4GB DDR3 SDRAM (2GBx2) 1333Mbps; Asus motherboard with Intel 7 Series Z77
Chipset, Windows 7 Ultimate x64 SP1; IRST 11.2, MS performance guide pre-condition.
† For enterprise usage (e.g. servers), a minimum of 6.7% over-provisioning (OP) is recommended.
* Sequential performance measurements based on CrystalDiskMark v.3.0.1. Random performance measurements based on
Iometer 2010. Performance may vary based on SSD’s firmware version, system hardware configuration
** Power consumption measured with MobileMark 2007 in Windows 7. Values calculated using laptop PC and represent system-level
power consumption.
*** For enterprise applications, 5 years limited warranty assumes a maximum average workload of 40GB/day (calculated based on host
writes and on the industry standard of 3-month data retention). Workloads in excess of 40GB/day are not covered under warranty.
3
DATA SHEET
Rev. 1.1, August, 2013
Non-Operating: 20~2000Hz, 20G
Shock Non-Operating: 1500G , duration 0.5m sec, Etc. Worldwide Name (WWN), LED Indicator support
Warranty 3 years limited
System Configuration : Intel Core i7-3770 @ 3.4GHz, 4GB DDR3 SDRAM (2GBx2) 1333Mbps; Asus motherboard Chipset; Windows 7 Ultimate x64 SP1; IRST 11.2, MS performance guide pre-condition.
* 840 EVO is not validated for data center usage.
** Sequential performance measurements based on CrystalDiskMark v.3.0.1. Random performance measurements Iometer 2010. Performance may vary based on SSD’s firmware version, system hardware configuration
*** Sequential Write performance measurements reflect TurboWrite operation.
**** Power consumption measured with MobileMark 2007 in Windows 7. Values calculated using laptop computer and system-level power consumption.
Check the overprovisioning values (6,7% - can be bumped up)
Garbage collection hiccups noticeable on consumer grade SSD

Users 200
Avg IOPS 20
Write % 70 %

Users 200
Avg IOPS 20
Write % 70 %
Avg block size 4 KB

Users 200
Avg IOPS 20
Write % 70 %
Avg block size 4 KB
Work Day 8 hours

Users 200
Avg IOPS 20
Write % 70 %
Avg block size 4 KB
Work Day 8 hours
Work Day 28800 seconds

Users 200
Avg IOPS 20
Write % 70 %
Avg block size 4 KB
Work Day 8 hours
IOPS/day/user 576000

Users 200
Avg IOPS 20
Write % 70 %
Avg block size 4 KB
Work Day 8 hours
IOPS Write/day/user 403200

Users 200
Avg IOPS 20
Write % 70 %
Avg block size 4 KB
Work Day 8 hours
KB/User/day 1612800 KB

Users 200
Avg IOPS 20
Write % 70 %
Avg block size 4 KB
Work Day 8 hours
GB/User/day 1,54 GB

Users 200
Avg IOPS 20
Write % 70 %
Avg block size 4 KB
Work Day 8 hours
GB/User/day 1,54 GB
GB/day for 200 users 307,62 GB

Users 200
Avg IOPS 20
Write % 70 %
Avg block size 4 KB
Work Day 8 hours
GB/User/day 1,54 GB
# of SSDs required 7,69 to stay in warranty

Users 200
Avg IOPS 20
Write % 70 %
Avg block size 4 KB
Work Day 8 hours
GB/User/day 1,54 GB
# of SSDs required 7,69 to stay in warranty
IO Savings from dedup compression ???

Two approaches
• Not
• Software
• Hardware

Two approaches
• Are actually
• In-Memory
• Persistent

Two approaches
• Are actually
• In-Memory
• Persistent
• All driven by a software storage stack on commodity hardware

Two approaches
• Are actually
• In-Memory
• Persistent
• All driven by a software storage stack on commodity hardware
• Stop calling everything “software defined”
• OK - it’s got an API… Finally.

Erik Ableson & Vincent Branger: What's best for vdi storage optimisation hardware or software?

Erik Ableson & Vincent Branger: What's best for vdi storage optimisation hardware or software?

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