Can $0.08 Change your View of Storage?

Copyright © 2016 DataCore Software Corp. – All Rights Reserved.
Faster Applications &
Lower Infrastructure Costs with
DataCore™ Parallel I/O Technology
Augie Gonzalez, Director, Product Marketing
@AugieGonzalez

DataCore Shatters I/O World Records
1. Best Price / Performance: $0.08 per SPC-1 IOPS™

2. Fastest Response: 0.32 milliseconds at full load

2. Fastest Response: 0.32 milliseconds at full load
3. Highest IOPS per Rack Unit: 459K SPC-1 IOPS in 2U
3X or better than previously
achieved by any company!

“Tell me that isn't amazing.”

The Difference Is Stunning
Hyper-Converged
VNX 8000
Traditional Storage Array
435K < 459K
SPC-1 IOPS™
Faster

The Difference Is Stunning
Hyper-Converged
VNX 8000
$0.41 / SPC-1 IOPS
$0.08 / SPC-1 IOPS
435K < 459K
SPC-1 IOPS™
Faster

SPC is Basis of Comparison
Criteria SPC Benchmark
Industry Standard
Independently Verified & Audited
Peer Reviewed
Covers different types & generations of technology
Maps to “real world” performance (OLTP databases)
Shows cost for achieving performance level

SPC is Basis of Comparison
Criteria SPC Benchmark
Industry Standard
Independently Verified & Audited
Peer Reviewed
Covers different types & generations of technology
Maps to “real world” performance (OLTP databases)
Shows cost for achieving performance level
Major Storage Vendors with SPC Benchmarks

100K
200K
300K
400K
$50K $100K $150K $200K
SPC-1
IOPS
PRICE
Dell
Compellent
SC4020
NetApp
EF560
AFA
EMC
VNX 8000
500K
HP
3PAR
7400
Major Storage Brands
Price Performance Leaders
Usually, Price & Performance go hand in hand

100K
200K
300K
400K
$50K $100K $150K $200K
SPC-1
IOPS
PRICE
Dell
Compellent
SC4020
NetApp
EF560
AFA
EMC
VNX 8000
459K
DataCore
500K
HP
3PAR
7400
Comparison with
Major Storage Brands
Price Performance Leaders
DataCore Price Performance is Off the Curve

$0.58
$0.54
$0.41
$0.37
$0.32
$0.24
$0.08
$-
$0.25
$0.50
$0.75
HP 3PAR
7400
258K IOPS
NetApp
EF560
245K IOPS
EMC
VNX8000
435K IOPS
Dell
SC4020
112K IOPS
X-IO ISE
820 G3
253K IOPS
Infortrend
DS3024B
218K IOPS
DataCore
459K IOPS
Cost per SPC-1 IOPS
13
DataCore has significantly
better Price / Performance

4.8
3.3
2.1
1.0 0.9 0.9
0.3
0
1
2
3
4
5
Dell
SC4020
$42K
Infortrend
DS3024B
$52K
X-IO ISE
820 G3
$82K
EMC
VNX8000
$177K
NetApp
EF560
$133K
HP 3PAR
7400
$149K
DataCore
$38K
Latency (milliseconds)
14
DataCore has lowest Latency
among Price / Performance Leaders

7.4
3.0
1.2 1.1 0.9
0.3
0
2
4
6
8
IBM SVC
v6.2
w/ Storwize
$3.6M
0.52M
IOPS
Kaminario
K2
$1.0M
1.24M
IOPS
NetApp
FAS8080
EX
$1.9M
0.69M
IOPS
Hitachi VS
Platform
G1000
$2.0M
2.01M
IOPS
Huawei
OceanStor
18800 V3
$2.3M
3.01M
IOPS
DataCore
$0.04M
0.46M
IOPS
Latency (milliseconds)
15
DataCore has the Lowest Latency
“The DataCore/Lenovo system had an
average response of 0.32 milliseconds
at 100 percent load.”
“The chart-topping Hitachi VSP G1000
had a 1.15 millisecond average
response at 100 percent load,
72 percent slower and costing
98 percent more.”
“This is just unreal.”
Chris Mellor

SPC is a Torture Test for Hyper-Converged
Hyper-Converged must be
Powerful enough to do Both!
Stresses Enterprise Database (OLTP)
Applications + their I/O loads
Hyper-Converged
VMVMVMVM VMVMVMVMVMVMVMVM
Separate Servers & Storage
Separate
servers create
I/O load for
storage system
Storage system
only has to focus
on handling I/O
load
Same servers
creating I/O
load need to
handle the I/O
load!

Price Performance is Even Better
when All Costs are Included
Hyper-Converged
Separate Server
& Storage Components
Servers not
included in
price
VNX 8000
435K SPC-1 IOPS
$177K
(partial price)
$38K
(all inclusive price)
Node includes
compute &
storage
459K SPC-1 IOPS

435
177
459
38
0
100
200
300
400
500
SPC-1 IOPS
(K)
Price
($K)
6% more SPC-1 IOPS
79% less cost
EMC VNX8000 DataCore
0.41
0.99
0.08
0.32
0
0.3
0.6
0.9
1.2
$ per
SPC-1 IOPS
Latency
(milliseconds)
80% less $ per SPC-1 IOPS
309% faster
EMC VNX 8000 DataCore
DataCore beats EMC VNX
in All Categories

Additional cost savings from
Space, Power, Cooling…
Hyper-Converged
VNX 8000

 DataCore hyper-converged can be used for mission-
& business-critical workloads
► Suitable for Oracle, MS SQL Server & SAP HANA
 Removing I/O Bottleneck means higher VM density
► More VMs on same hardware for VDI & general workloads
20
Why it Matters for Hyper-converged

HOW DID DATACORE DO IT ?
WELCOME TO THE WORLD OF PARALLEL I/O
DataCore™ Parallel I/O technology enables
breakthrough performance and revolutionary
productivity gains by harnessing the full power of
today’s readily available multicore servers.

IO-Starved Virtualized Servers
Increasingly faster
Uni-processors Serial IO
Work
Potential
2010 20202000
CPU clock rates
slow down
More cores
per socket

IO Gap
23
IO-Starved Virtualized Servers
Increasingly faster
Uni-processors Serial IO
Work
Potential
2010 20202000
CPU clock rates
slow down
More cores
per socket

Serial vs. Parallel Processing
Pile of work

Pile of work

Modern Multi-core CPUs
Worker
1
Worker
2
Worker
3
Worker
4
Worker
5
Worker
6
Worker
7
Worker
8
Worker
9
Worker
10
Multiple “workers” capable of simultaneously handling
compute, networking and I/O loads
10-cores

Standard use of Multi-core CPUs
in Virtual Servers
VM
1
VM
2
VM
3
VM
4
VM
5
idle I/Oidle idle idle
Parallel
Compute
Serial I/O
VM = Virtual Machine

Serial I/O Bottleneck in Virtualized Server
 Compute waits on I/O
Compute
I/O
Workload

 CPU cores are wastedCompute
I/O
Workload

 CPU cores are wasted
 Very little work gets done
Compute
I/O
Workload

Compute
I/O
Workload

Impact:
Workload
Server
1

Impact: Many servers needed to spread I/O
Workload
Server
1
Server
2
Server
3

Impact: Many servers needed to spread I/O
Workload
Server
1
Server
2
Server
3
Server
4
Server
5

Turbo-Charge through Parallel I/O
 I/O keeps pace with
compute demandsCompute
I/O
Workload

compute demands
 CPU cores are fully used
Compute
I/O
Workload

compute demands
 CPU cores are fully used
 Lots of work gets done in
very little time
Compute
I/O

45
Adaptive Parallel I/O
Workload
45

46
Workload
Response
Time
(millisec)
IOPS
46

47
Workload
Response
Time
(millisec)
IOPS
47

48
Workload
Response
Time
(millisec)
IOPS
48

49
Workload
Response
Time
(millisec)
IOPS
400,000 IOPS
< 1 millisec
49

50
Workload
Response
Time
(millisec)
IOPS
400,000 IOPS
< 1 millisec
50

51
Workload
Response
Time
(millisec)
IOPS
400,000 IOPS
< 1 millisec
51

52
Workload
Response
Time
(millisec)
IOPS
400,000 IOPS
< 1 millisec
52

53
Workload
No more load
400,000 IOPS
< 1 millisec
53

54
Workload
No more load
400,000 IOPS
< 1 millisec
54

55
Workload
No more load
400,000 IOPS
< 1 millisec
55

56
Workload
No more load
400,000 IOPS
< 1 millisec
56

57
Workload
No more load
400,000 IOPS
< 1 millisec
57

58
Workload
No more load
400,000 IOPS
< 1 millisec
58

Worker
1
Worker
2
Worker
3
Worker
4
Worker
5
Worker
6
Worker
7
Worker
8
Worker
9
Worker
10
DataCore’s Adaptive use of Multi-core
CPUs in Virtual Servers
VM
1
VM
2
VM
3
VM
4
VM
5
I/O
Parallel
Compute
Parallel
I/O
VM = Virtual Machine
I/OI/O I/O I/O

Parallel I/O Breakthrough
TIME SAVINGS COST SAVINGS
Work completes in
1/5 the time
2 machines can do
the work of 10

• 4x 2U Servers
• 3 TB Cache
• 25.6 TB of PCIe Flash
• 168 TB total mirrored capacity
(336TB total raw)
• N-Node Mesh Mirror
• 2 Full Racks
• 256 GB cache
• 17.6TB of array based SSD
• 140TB total mirrored
capacity (280TB total raw)
• 2-Node Mirror
NetApp Proposed Storage
Real World: Parallel I/O’s Impact on Infrastructure
More than Just Hyper-Converged
DataCore Server SAN

• 4x 2U Servers
• 3 TB Cache
• 25.6 TB of PCIe Flash
• 168 TB total mirrored capacity
(336TB total raw)
• N-Node Mesh Mirror
• More Capacity
• Faster Performance
• < 1/4 of Space
• 2 Full Racks
• 256 GB cache
• 17.6TB of array based SSD
• 140TB total mirrored
capacity (280TB total raw)
• 2-Node Mirror
NetApp Proposed Storage
Real World: Parallel I/O’s Impact on Infrastructure
More than Just Hyper-Converged
DataCore Server SAN

 Parallel I/O changes the storage equation
 Independent benchmark proves DataCore offers
► More IOPS
► Lower Price
► Better Value
► Lower Latency
 Run Mission-Critical applications on DataCore
63
Summary

World-Record Price Performance
64
http://www.storageperformance.org/results/benchmark_results_spc1_top-ten

 Try Parallel I/O in your environment
► To speed up response for latency-sensitive applications
► To increase the number of concurrent workloads (VMs)
per server
 Download Free Trial of
DataCore™ Hyper-converged Virtual SAN
http://www.datacore.com/resources/free-hyper-converged-virtual-san
 More Info on SPC @
http://www.storageperformance.org/results/benchmark_results_spc1_top-ten
65
Next Steps

Thank You!
www.datacore.com
66

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