Download - 2-4 Sun Datacenter_efficiency Session
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
1/28
Improving DatacenterEfficiency
Nagaraj SRegional ManagerSystems BusinessSun Microsystems India Pvt Ltd
1
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
2/28
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
3/28
3
Agenda
Trends in Today's Market
Rethinking Processors
Rethinking Storage Rethinking Servers
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
4/28
4
The IT Dilemma
I want newservices quicklyBusiness Needs
Financial Needs
Operational Needs
I want to reduce
my power bill
I'm running out of space, powerand cooling capacity
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
5/28
5
Demand and Capacity are Colliding...
Demand Users
Services Access
Power Costs
Space Heat
2003 2005 NextGeneration
40 120
800Watts perSquare Foot
...and datacenters are right in the MIDDLE!
Datacenter
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
6/28
6
Rack Density Increasing
28x2U Servers2kW Heat Load
42x1U Servers6kW Heat Load
6 BladeCenters24kW Heat Load
6 BladeCenters30kW Heat Load
Source: Emerson Network Power/Liebert
2000 2002 2005 2008
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
7/287
Not Enough Cooling for High Loads
Source: Uptime Institute
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
8/288
Not Enough Space
Tier1-Tier3 ECO Datacentersat US & International Ports
Capacity: 4000 racks and over
350 Sun Modular Datacenters 75MW of power, free cooling
from ocean water
Six months time to market,
up to 40% less thantraditional build
At the end of a dockinstead of the end of a street
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
9/289
The Opportunity
Cut Energy
Costs in Half
Increase
UtilizationLevels to asHigh as 85%
Improve Space
Efficiencyby 2x
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
10/2810
Strategy: Addresses Energy Efficiency
Power savings can be addressed in many different ways
Cooling Efficiency
Power Efficiency/DistributionStorage Efficiency
Turn on CPU Power Management
Match Infrastructure to SLAs
Retire Unused Systems
Power Efficient Systems forNew Deployments
Technology Refresh
Optimize System Utilization:
Consolidation/ Virtualization/Workload Mgmt
More Efficient Applications
30%-50%
20%-40%20%-75%
5%-40%
20%-30%
50%-100%
40%-60%
50%-80%
50%-80%
50%-95%
5%-30%
5%-25%5%-20%
5%-15%
10%-15%
5%-10%
10%-30%
30%-50%
30%-60%
30%-70%
Point Projects Entire DC
Authority to
Change Top 10 Strategies Potential Independent Energy Savings
BUControl
IT/DCContro
l
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
11/2811
Strategy: Addresses Energy Efficiency
Power savings can be addressed in many different ways
Cooling Efficiency
Power Efficiency/DistributionStorage Efficiency
Turn on CPU Power Management
Match Infrastructure to SLAs
Retire Unused Systems
Power Efficient Systems forNew Deployments
Technology Refresh
Optimize System Utilization:
Consolidation/ Virtualization/Workload Mgmt
More Efficient Applications
30%-50%
20%-40%20%-75%
5%-40%
20%-30%
50%-100%
40%-60%
50%-80%
50%-80%
50%-95%
5%-30%
5%-25%5%-20%
5%-15%
10%-15%
5%-10%
10%-30%
30%-50%
30%-60%
30%-70%
Point Projects Entire DC
Authority
to Change Top 10 Strategies Potential Independent Energy Savings
BUControl
IT/DCContro
l
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
12/2812
Why Applications Dont PerformWaiting for DATA Memory can't keep up
RelativePerforman
ce
1990 1995 20051980 1985 2000
2x EverySix Years
2x EveryTwo Years
Gap
CPU Frequency
DRAM Speeds
10000
1000
100
10
1
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
13/2813
Single ThreadedPerformance
Single Threading
Thread
Memory Latency Compute
Time
HURRYUP ANDWAIT!
C C C
Typical ProcessorUtilization:1525%
M M M
Up to 85% Cycles Waiting for Memory
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
14/2814
Single ThreadedPerformance Chip Multi-threaded
(CMT) Performance
The Power of Chip Multi-ThreadingCoolThreads !!! UltraSPARC T1 & T2
Processor Utilization:Up to 85%
Thread 1
Memory Latency Compute
Time
Thread 2
Thread 3
Thread 4
C C CM M M
C C CM M M
C C CM M M
C C CM M M
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
15/2815
Lowest Wattage per Thread and Core
2nd Gen. Opteron Xeon 5300 POWER6 UltraSPARC T2
Threads per CPU 2 4 4 64
Watts per thread 60 30 33 1.5Cores per CPU 2 4 2 8
Watts per core 60 30 65 12
10 GbE* N/A N/A N/A Integrated
Crypto accelerator* N/A N/A N/A Integrated
PCI-Express* N/A N/A N/A IntegratedWattage 119 120 130 94
*Additional wattsrequired
22 22 22 0
Total wattage 141 142 152 94
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
16/2816
Innovation Never Stops
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
17/2817
Why Applications Dont PerformWaiting for DATA HDDs can't keep up
Todays Multi-Core,Multi-Socketapplication server design areincreasingly held back by slowstorage
When requesting data, the serverspends most of its time waitingfor storage
Application performance remainsluggish regardless of the Server
CPU horsepower The traditional remedy of adding
more expensive DRAM may nolonger suffice as data sets doubleevery 2 years
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
18/2818
CPU to Storage DiscontinuityThe number of HDDs needed to keep up
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
19/2819
New Server Memory/Storage Hierarchy
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
20/28
20
Enterprise SSD> 7,000 Write IOPS> 35,000 Read IOPS> 32GB> ~3W
$ per IOPS: 0.04
Enterprise HDD> 180 Write IOPS> 320 Read IOPS> 300 GB> ~18W
$ per IOPS: 2.43
Cost Effective PerformanceSSDs are 70X more cost effective
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
21/28
21
Hybrid Storage Pool EconomicsRight-Size Performance & Capacity
1/10ththeCost
1/5ththePower
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
22/28
22
ZFS Turbo Charges ApplicationsThe Hybrid Storage Pool Data Management
ZFS automatically :> Writes new data to a very fast SSD
pool (ZIL)
> Determines data access patternsand stores frequently accesseddata in the L2ARC
>Bundles IO into sequential lazywrites for more efficient use of lowcost mechanical disks
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
23/28
23
Systems & StorageProcessor & Desktop
Sun Innovation:Driving Efficiency at Every Level
Datacenter
VIRTUALIZATION
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
24/28
24
Policy-Based Data
ManagementHighly ScalableArchitecture
Tape-StackingFunctionality
DisasterRecovery Utility
What Can We Offer ?
Hard Partitions Virtual Machines OS Virtualization Virtual Tape Virtual Disk
Systems
OS
AppCalendarServer
WebServer
IdentityServer
AppServer
Database Back Up Archive DBBusiness
Apps
Mainframe / Open Systems Mainframe / Open Systems
Database
Multiple OSs Single OS
Trend to Flexibility Trend to Isolation
Scalable, low overhead
Single OS to manage
Divides system andapp administration
Fine grainedresource management
Ability to live migrate
Ability to run differentOS versions and types
De-couples OS and HWversions
Systems
AppMailServer
WebServer
FileServer Back Up Archive DB
BusinessApps
Multiple OSs Single OS
Universal Volume Manager
(UVM)Tiered Storage Manager
(TSM)
Virtual Partition Manager(VPM)
Dynamic Provisioning
Hard Partitions Virtual Machines OS Virtualization Virtual Tape Virtual Disk
Increases Utilization Levels Up to 85%
Very high RAS
Very scalable
Mature technology
Ability to run differentOS versions
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
25/28
25
Offerings from SunSun Servers
Sun SPARCEnterprise Servers
CoolThreads Servers x64/x86 Servers
Most powerful, robust, mission-critical virtualization servers
High performance per watt
Dynamic Domains
Solaris ContainersImprove security
Integrated, open sourcevirtualization Logical Domains
Solaris Containers
Record-breaking performance
Breakthrough energy and spaceefficiency
Save on CAPex and Opex
Available in racks/blades
Most powerful, scalable,virtualized designs
Efficient Chassis Designs
Choice of hypervisor and OS
allows for investment protectionWindowsLinuxSolaris Solaris ContainersxVM ServerVMware
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
26/28
26
Offerings from SunSun Storage
Primary Storage Tape LibrariesVirtual Tape
Consolidate management ofall heterogeneous storage
Greater utilization throughthin provisioning and virtualvolumes
Simplified configurationmanagement andtroubleshooting via CommonArray Manager (CAM)
Improved reliable backupcompletions via VTL
Greater efficiencies with tapeprocessing via VSM
Better tape utilization andmanagement ease
Lower TCO, higher ROI
Capacity on demand via tapethin provisioning
Easy creation of logical library,drives, and media for testing
Aids in compliance
Share tape library amongstmultiple backup applications andUNIX, Windows, AS/400,mainframe
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
27/28
SPARC and Solaris Systems#1 in Key Benchmarks
#1 in OLTP Database: TPC-C #1 in Java Applications : SPECjAppServer, SPECjbb2005 #1 in Web/Network: SPECweb #1 in Oracle BI EE #1 in Oracle Hyperion #1 in PeopleSoft Payroll #1 in Siebel CRM #1 in SAP ERP (using the Oracle Database)
-
8/8/2019 2-4 Sun Datacenter_efficiency Session
28/28
Nagaraj [email protected]