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2. <Insert Picture Here>
Oracle Quality of Service Management
Meeting SLAs in a Grid Environment
Mark V. Scardina Aris Prassinos
Director, Product Management Chief Engineer
Quality of Service Management MorphoTrak, SAFRAN Group

3. The following is intended to outline our general product
direction. It is intended for information purposes only,
and may not be incorporated into any contract. It is not a
commitment to deliver any material, code, or functionality,
and should not be relied upon in making purchasing
decisions.
The development, release, and timing of any features or
functionality described for Oracle’s products remains at
the sole discretion of Oracle.
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4. Improving the Corporate Bottom-line
- Proactive SLA Management
• Assure predicable performance
for consolidated applications
• Dynamically allocate resources
to meet SLAs
• Reduce IT costs by optimizing
resource use
Quality of Service Management
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5. Online Systems – Outage Causes
- Driving IT towards SLAs
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6. Oracle Quality of Service Management
- The Objective
In real-time you need to be confident that:
• When resources across the datacenter are sufficient
they are continuously deployed to ensure performance and
availability objectives will be met.
• When resources are insufficient to meet demand
more business critical objectives will be met at the expense of
less critical ones.
• When load conditions severely exceed capacity,
resources remain available.
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7. The Real-Time Performance Equation
Code Development
Resource Capacity Planning
Use Configuration/Deployment
Resource Quality of Service
Management
Wait
Application
IT Department
Performance
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8. Quality of Service Management
- The Oracle Approach …
• Instrument the entire Oracle stack
• Support end-to-end work classification
• Generate real-time correlated performance and resource
wait data
• Accurately identify bottlenecks and their causes
• Produce sensible and incremental recommendations and
respective impact projections
• Respond with Just-in-Time resource allocation
• Protect existing workloads from memory starvation
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9. Dynamic Resource QoS Management
- The QoS Management Policy
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10. Quality of Service Management
- The Oracle Approach in Action
Define and Enable Classify and Measure
Evaluate and Policy-Driven Analyze and
Report Architecture Recommend
Implement and Control
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11. Quality of Service Management
- The Oracle Approach in Action
Sales Clients Back Office Clients
Response Time Objectives
Sales Pool Back Office Pool
NA
APAC
EMEA
      
Resource (CPU) Most Critical Least Critical
Recommendation: NA Performance Objects being CPU Bottleneck.
EMEA Performance Class has met.
All Performance Class has CPU Bottleneck.
Action: Move Server from Server Pool Backfrom Level 2 to Level 0.
Promote EMEA Performance Class Office to Sales.
No action required.
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12. Memory Guard via Cluster Health Monitor
- Protecting Your Server Resources
• Receives a continuous stream of OS Memory metrics
• Analyses once a minute for over-committed memory
conditions
• Issues alert should any server be at risk
• Protects existing work and applications by automatically
closing the server to new connections
• Automatically re-opens server to connections once the
memory pressure has subsided
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13. Cluster Health Monitor with Memory Guard
- Protecting Your Server Resources
Sales Clients Back Office Clients
Physical 
Sales Pool Back Office Pool
  
!   
Most Critical Least Critical
Memory
Alert: Memory Pressure detected – Server at Risk.
Action: No new sessions accepted.
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14. Integrated, Task-Based Management
- New EM Quality of Service Management Tool
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15. <Insert Picture Here> Takenori Otsubu
Director of Sales & Marketing
IT Infrastructure Solutions Bureau
NS Solutions Corporation
“NS Solutions highly welcomes the release of Oracle Database 11.2.0.2.
Oracle's new QoS Management technology enables more efficient resource
utilization and provides greater service stability to our customers.
We will utilize this new functionality to enhance our NSGRANDIR+
IT infrastructure optimization methodology.”
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16. MorphoTrak
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17. MorphoTrak: a U.S. Company
Gateway to international biometric technologies for U.S. clients
Facts . Part of a Global Leader
Headquarters: Alexandria, VA
U.S. Subsidiary of Morpho, SAFRAN Group
Engineering: Anaheim, CA & Tacoma, WA World leader in biometrics & ID management
 Global market leader in AFIS
Operation Centers: Austin, TX & Albany, NY
according to Frost & Sullivan
More than 450 Employees  Over 50% of biometric identity systems
worldwide
More than 35 Years Experience with U.S. &
Global Biometric Solutions
http://www.morpho.com
http://www.morphotrak.com
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18. MorphoTrak: Our Business
Design, Manufacture & Integration of Biometric & Identity Management Solutions
Forensic Systems
. Federal .
Business Identity .
Solutions Security .Solutions
Integrated Information Federal Forensic Security & Identification Biometric Solutions for:
Systems for Agencies Solutions to Governments
-FBI Physical Access Control
Logical access/sign-on
Entry – Exit Systems
Time & Attendance
-US Visit
Building Management
Access control terminals Automation
-Ports (TWIC), Airports (FAA),
MetaMorpho™ AFIS Federal Govt (PIV) Identification Systems
MorphoBIS™ AFIS Help Governments Fight
-Passenger Security (TSA)
Identity Fraud :
AFIS Ensures:
Driver licenses
Accurate Identification of Background checks
Individuals Welfare Benefits Readers Suitable for:
Automated Border Control ID Cards
Faster Resolution of Harsh Industries
- Finger-Face-Iris Passports
Criminal Cases Corporate Facilities
Etc.
Luxury Environments
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19. MorphoTrak Customers
• Chosen for three largest biometric systems in the world
– FBI Next Generation Identification
– DHS US-VISIT
– India Aadhaar Project (UID)
• Over 200 “smaller” ones
– Florida FDLE
– Netherlands National Police
– Swiss National Police
– North Carolina driver license
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20. MorphoBIS
• Morpho Biometric Identification Solution
– Multi-biometric identification system
– SOA, Java, Oracle, XML
• Biometric templates stored in Oracle as LOBs
– OLTP random access
– Every biometric search results in thousands of template fetches from the database
depending on number of respondents from first stage matching
– Unpredictable service times due to varying number of respondents
• Multiple “open” workloads of different priorities and SLAs
– Border Control, Criminal Investigations, Benefits Verification, Background Checking
– Unpredictable request arrival rates and surges
– Workload priorities change over time – Need to avoid long queues during demand surges
• Border Control during peak crossing hours
• Benefits Verification during business hours
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21. Why QoS Management?
• Turnkey fixed-cost system with contractually defined SLA
– Hosted by customers
– Basic onsite administration provided by generalist customer staff
– Oracle support provided remotely by MorphoTrak
• Performance objective is the response time for fetching individual biometric
templates
– Can’t throw more CPUs to the problem due to increased Oracle licensing costs
– No onsite DBA to constantly monitor and adjust the system
• Traditional workload management approaches not adequate
(e.g. DBRM directives for CPU allocation, priority queues, varying # of threads)
– Complex to determine right settings, imprecise, no clear correlation with SLA
– Tend to take more resources than needed from low priority workloads to guarantee SLA of high
priority workloads
• MorphoTrak beta tested QoS for possible future use
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22. QoS Management Policies
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23. QoS Management - Dashboard
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24. Surge Identified – Recommendation
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25. Recommendation Implemented
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26. SLAs Restored – All Is Well
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27. Metrics – Tracking Performance
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28. Conclusions
• Goldilocks “just right” approach to Quality of Service management
– Prioritizes workloads to meet all SLAs in a fair manner without overshooting
– System resets to default priorities when surges subside
• Cost effective
– Optimal utilization of system resources without over-configuring the system
• Diagnosis and tuning is simple and intuitive
– No need for expert personnel on-site
– Notifications can be provided to operators when surges occur
– Recommendations can be implemented by generalists
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29. Oracle Quality of Service Management
- Delivering Datacenter Performance
Datacenter Performance Datacenter Performance
Today Tomorrow
Applications cooperate in sharing
Applications fight for resources
resources
Reactive Resource and Application Proactive Resource and Application
Protection Protection
Manually allocate resources Allocate resources Just-In-Time
to meet SLAs to meet SLAs
Grid for Cloud value is not fully realized Grid for Cloud value is fully realized
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30. Quality of Service Management
- Live Demonstration
Demo Pod W-028
Moscone West
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