Quality of Service Management

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2 <Insert Picture Here> Oracle Quality of Service Management Meeting SLAs in a Grid Environment Mark V. Scardina Director, Product Management Quality of Service Management Aris Prassinos Chief Engineer 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. 3

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 4

5 Online Systems Outage Causes - Driving IT towards SLAs 5

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. 6

7 The Real-Time Performance Equation Resource Use Code Development Capacity Planning Configuration/Deployment Resource Wait Quality of Service Management Application Performance IT Department 7

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 8

9 Dynamic Resource QoS Management - The QoS Management Policy 9

10 Quality of Service Management - The Oracle Approach in Action Define and Enable Classify and Measure Evaluate and Report Policy-Driven Architecture Analyze and Recommend Implement and Control 10

11 Quality of Service Management - The Oracle Approach in Action Sales Clients Back Office Clients Response Time Objectives NA APAC EMEA Sales Pool Back Office Pool Resource (CPU) Most Critical Least Critical Recommendation: NA EMEA All Performance Objects Class Class has being has CPU CPU met. Bottleneck. Action: Move Promote No action Server EMEA required. from Performance Server Pool Class Back from Office Level to Sales. 2 to Level 0. 11

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 12

13 Cluster Health Monitor with Memory Guard - Protecting Your Server Resources Sales Clients Back Office Clients Physical! Sales Pool Back Office Pool Memory Most Critical Least Critical Alert: Memory Pressure detected Server at Risk. Action: No new sessions accepted. 13

14 Integrated, Task-Based Management - New EM Quality of Service Management Tool 14

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 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. 15

16 MorphoTrak 16

17 MorphoTrak: a U.S. Company Gateway to international biometric technologies for U.S. clients Facts. Part of a Global Leader Headquarters: Alexandria, VA Engineering: Anaheim, CA & Tacoma, WA Operation Centers: Austin, TX & Albany, NY More than 450 Employees More than 35 Years Experience with U.S. & Global Biometric Solutions U.S. Subsidiary of Morpho, SAFRAN Group World leader in biometrics & ID management Global market leader in AFIS according to Frost & Sullivan Over 50% of biometric identity systems worldwide

18 MorphoTrak: Our Business Design, Manufacture & Integration of Biometric & Identity Management Solutions Forensic. Systems Federal. Business Identity. Solutions Integrated Information Systems for Agencies MetaMorpho AFIS MorphoBIS AFIS AFIS Ensures: Accurate Identification of Individuals Faster Resolution of Criminal Cases Federal Forensic -FBI Entry Exit Systems -US Visit Access control terminals -Ports (TWIC), Airports (FAA), Federal Govt (PIV) -Passenger Security (TSA) Automated Border Control - Finger-Face-Iris Security & Identification Solutions to Governments Identification Systems Help Governments Fight Identity Fraud : Driver licenses Background checks Welfare Benefits ID Cards Passports Etc. Security. Solutions Biometric Solutions for: Physical Access Control Logical access/sign-on Time & Attendance Building Management Automation Readers Suitable for: Harsh Industries Corporate Facilities Luxury Environments 18

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 19

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 20

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 21

22 QoS Management Policies 22

23 QoS Management - Dashboard 23

24 Surge Identified Recommendation 24

25 Recommendation Implemented 25

26 SLAs Restored All Is Well 26

27 Metrics Tracking Performance 27

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 28

29 Oracle Quality of Service Management - Delivering Datacenter Performance Datacenter Performance Today Datacenter Performance Tomorrow Applications fight for resources Applications cooperate in sharing resources Reactive Resource and Application Protection Proactive Resource and Application Protection Manually allocate resources to meet SLAs Allocate resources Just-In-Time to meet SLAs Grid for Cloud value is not fully realized Grid for Cloud value is fully realized 29

30 Quality of Service Management - Live Demonstration Demo Pod W-028 Moscone West 30

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