2. Steven G. Harris Director, Java Platform Group Oracle Corporation
Howard Cohen VP, Dist. Systems & Caching Oracle Corporation

3. Grid Computing for Oracle Application Server 10g An Overview

4. Topics Enterprise Grid Computing Concepts
Oracle Application Server 10g Features
Developing Applications for the Grid

5. Isolated Applications Deployed on Islands of Infrastructure
IT Challenges
Isolated Applications Deployed on Islands of Infrastructure
Expensive hardware, software, and labor
Inflexible architecture limits business responsiveness

6. Oracle Strategy for IT Islands of Infrastructure Enterprise
Isolated Applications
Enterprise
Grid Computing
Responsive
Software Architecture

7. Application Server Grid
Enterprise Grid Computing
Coordinated use of many servers acting as one large computer
Storage Grid
Database Grid
Application Server Grid
Grid
Control
Add and Reallocate Capacity Quickly and Economically

8. Responsive Software Architecture
Expose business functionality as services to improve flexibility and productivity
General Ledger
Web Store
J2EE App
Web Store
Sales Portal
Respond to Changing Requirements Quickly

9. Oracle 10g Implement One from Many; Manage Many as One
Virtualize resources on low-cost hardware
Allocate resources dynamically
Automate provisioning
Centralize monitoring and management

10. Oracle Application Server 10g Integrated Middleware Platform
Web Services
B2B Integration
Application Integration
Any Data Source
Business Intelligence
Wireless & Mobile
Enterprise Portal
Management &
Security
Clustering & Caching
Business Services Framework
Rapid Application
Development

11. Enterprise Grid Computing
Virtualize and Pool Resources
Ensure High Quality of Service
10g
Automate
User & Resource Provisioning
Manage Application Service Levels

12. Virtualized Middleware Services Use Resources Effectively on Low-Cost HW
HTTP Server
Web Cache
J2EE Server
Group resources and services by application

13. Policy-Based Workload Ensure High Quality of Service
Workload Manager
Dispatcher & Scheduler Distribute workloads based on application-specific policies
Policy Manager
Stores application-specific policies
Resource Manager Manages resource availability/status

14. Grid High Availability Ensure High Quality of Service
Transparent Application Failover (TAF)
Fast-Start Fault Recovery™
Integrated Backup and Disaster Recovery
Multi-tier Failover Notification (FaN)
> 15 mins
< 12 secs
15 mins
< 4 secs
Without FaN
With FaN
RAC Failover AS Detection Total Downtime
< 8 secs

15. Over 20% of downtime is attributable to human configuration errors
Grid Software Provisioning
Oracle
Inventory
Software
Configurations
Hardware
Discover
View/Search
Compare
Track Changes
Reference
Configurations
Analyze
Grid
Control
Repository
LiveLink
Oracle.com
Product Updates
Patches
Product
Configuration
Install/Clone
Provision
Over 20% of downtime is attributable to human configuration errors
Configure
Deploy
Patch

16. Grid User Provisioning Lower Management Costs
Accounting
Sales Portal
Directory
Support Portal
Client
Consolidate user accounts
Centralize ID management
Share authorization and authentication services

17. Service Level Management Ensure High Quality of Service
New York
Sales Office
Tokyo
Sales Office
Application
Monitor transactions
Understand end user experience
Identify bottlenecks
Accelerate problem resolution
Any
User

18. Grid Delivers Capacity-on-Demand Use Resources More Effectively
Load increase identified -- additional resources required 1
Systems chosen for deployment from available hardware 2
New Servers
New servers added to application 3
Image/Clone AS
Associate AS with Infrastructure
Add AS to cluster
Configure DB server to get AS requests
Configure SLB to include new AS

19. D E M O N S T R A T I O N
Capacity-On-Demand

20. 10g Features Enabling the Enterprise Grid
Runtime Infrastructure
Availability
Workload Management
Monitoring
Manageability Support
Unified Notification
Central Topology, Distributed Deployment
Backup/Recovery

21. Server Infrastructure for Grid High Availability
Web Cache
Virtualized cache
Surge protection
Oracle HTTP
Server
Metrics-based load balancing
Process monitoring and notification
Auto discovery of OC4Js
OC4J
Instrumented runtime
Fast failover notification
Distributed config mgmt
RAC
End-to-end tracing
Scale on commodity hardware
Virtualized database resource

22. Web Cache A Virtualized Grid Resource
HTTP Server
J2EE Server
Database
What is Web Cache?
Reverse proxy cache and compression engine
Deployed between browser and HTTP server
Make more effective use of low-cost, existing hardware
Enables high hit-rate caching (which improves performance and scalability)
Maintain quality of service with workload management
Improves system reliability
Manage the end-user experience
Supports end-user performance monitoring and flexible deployment options

23. How Web Cache Works Client Browser Web Cache Web App Server Database 13 2 4 5 7 6
Client sends HTTP request
Web Cache responds immediately if cached object is available
If object is not in cache, Web Cache requests object from Application Server
Application Server generates response (may include Database queries)
Application Server responds to Web Cache
If response is cacheable, Web Cache retains a copy for subsequent requests
Web Cache compresses page and responds to Client

24. Cache Clustering Issues:
HTTP Server
Web Cache
J2EE Server
Database
Issues:
Cache capacity limited to individual machine resources
Hot content lost if a cache fails or is taken offline
Solution: clustering on the Grid
Virtualizes cache instances into a single logical cache – spreads out load
Automatic content provisioning
partitions content space for increased cache capacity
replicates popular content for performance and high availability
Benefits: improved scalability, availability and capacity of cache tier

25. Grid Notification Infrastructure
Web Cache
OHS
HTTP
mod_oc4j
OC4J
RAC
HTTP
AJP
JDBC
Web Client
SOAP/ HTTP
Up/Down
New
Health
Web Services Application
Up/Down
Invalidation
Up/Down
Up/Down
Process Monitoring and Notification Service

26. Workload Management OC4J OC4J OC4J OHS Load Balancing RAC
mod_oc4j
OC4J
OC4J
Load Balancing
JDBC
RAC
AJP
Pooled connections virtualized via service-based access
Metrics
Policy
Process Monitoring and Notification Service

27. Grid Deployment Infrastructure
Accounting Application
J2EE App Service 3
J2EE App Service 1
Web Service
Deploy
J2EE App Service 2
Centralized Topology
Individual Provisioning

28. Performance Monitoring Improve Application Performance
Monitor and analyze application performance:
“How much time is being spent in just the JDBC part of this application?”
“What was the average response time over the past 3, 6, and 9 months?”

29. Best Performance 3 Years Running - 2001
Best Price-Performance
Source: ECperf Benchmark:

30. Best Performance 3 Years Running - 2002
Best Price-Performance
Source: SpecJ2001

31. Best Performance 3 Years Running - 2003
Best Price-Performance
Source: SpecJ (* Identical Linux configurations)

32. Grid-Related Standards Activity
Oracle commitment to open standards process
WS-I, OASIS, W3C, GGF
Grid standards build on web services standards
WSDL emerging issues
OGSI
Grid standards are relatively immature
Goal: Commercialization of grid technology
Standards play a central role

33. Developing for the Grid
Existing Applications Just Run
Expose existing apps as grid-enabled services
New Applications
Develop web services
Use JDeveloper ADF
Web services are grid-enabled in iAS, built on the J2EE platform

34. Leverage a Framework and Visual Tools
Oracle Application Development Framework
Standards based patterns
Service oriented architecture
Oracle JDeveloper 10g
Visual
Declarative
Synchronized
Rich Clients
Web and Wireless Clients
Controller
Model
Business Services
The flexibility of J2EE, open source. The productivity of traditional RAD.

35. Choice: Standard and open source technologies.
Rich Client
Web / Wireless
View
ADF UIX
ADF Controller
ADF Bindings
ADF Data Control
ADF Business Components Service Object
ADF Business Components Query Object
ADF Business Components Entity Object
Swing / JClient
ADF Metadata Services
Swing / JClient
JSP
ADF UIX
JSF
Controller
Struts
ADF Controller
Model
ADF Bindings
ADF Data Control
JSR 227
Business Services
Java Classes
EJB Session Beans
ADF Business Components Service Object
Web Services
ADF Metadata Services
ADF Business Components Query Object
JDBC
TopLink Queries
EJB Finders
Data Access
ADF Business Components Entity Object
Persistent Business Objects
Java Classes
EJB Entity Beans
TopLink Mapping
Choice: Standard and open source technologies.

36. Simplifying Choice Technology Scopes Extension Manager
CHOICES
Technology Scopes
UML
Swing
HTML
XML
JSP
ADF UIX
Apache Struts
ADF BC
EJB
Toplink
Ant
JUnit
CVS
Clearcase
Oracle SCM
Profiling
Audit/Metrics
UML
HTML
JSP
Apache Struts
EJB
Toplink
Ant
JUnit
CVS
Profiling
Audit/Metrics
UI Project
JSP
Struts
Extension Manager
Model Project
Toplink
Visual & Declarative
“My JDeveloper”
Productivity with choice.

37. Summary
Enabling technologies for enterprise grid computing are here today in Oracle Application Server 10g
Implement one solution from many resources
Manage many resources as one
Existing applications can benefit now from grid computing.
You do not need to sacrifice choice or openness to achieve productivity and performance

38. Next Steps…. Recommended sessions Hands-On Labs
J2EE and .NET: An Objective Comparison
Wed Sept 10 11:00 AM  Moscone Room 134
BPEL: Building Standards-Based Business Processes with Web Services
Wed Sept 10 4:30 PM  Moscone Room 252
Hands-On Labs
Oracle Application Server 10g Hands On Lab
Marriott Hotel, Golden Gate B2
Relevant web sites to visit for more information
Products:
Standards:

39. Q
&
Q U E S T I O N S
A N S W E R S A

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