Transcript Autonomic Computing ICAC The 3rd IEEE International Conference on Autonomic Computing Dublin, Ireland June 2006 David Bartlett Vice President IBM Autonomic Computing © 2006 IBM Corporation.

Autonomic Computing
ICAC The 3rd IEEE International Conference
on Autonomic Computing
Dublin, Ireland June 2006
David Bartlett
Vice President
IBM Autonomic Computing
© 2006 IBM Corporation
Autonomic Computing
Autonomic computing
Mission: Address IT complexity in heterogeneous
environments through self-managing autonomic capabilities
Common
overarching architecture
Autonomic standards
Common technology for
end-to-end management
Autonomic capabilities in IBM and industry products
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Enabling intelligent systems that:
 Adapt to unpredictable conditions
 Continuously tune themselves
 Prevent and recover from failures
 Provide a safe environment
Empowering businesses to:
 Reduce downtime
 Increase productivity and savings
 Improve resiliency and agility
 Accelerate time to value
© 2006 IBM Corporation
IBM Software Group
Availability
problem….
Event
Silos >Management
High Cost,example
Manual- the
Process,
Poor availability



Overwhelming complexity
Triage
?
?
?
?
Lack of standards and unifying architecture
Application
Desktop
Network
Inability to triage
complex,
Experts
Experts
Experts
and
and
Tools
and
Tools
multi-tier operating environments Tools
Database
Experts
and Tools
?
Server
Experts
and Tools
?
Mainframe
Experts
and Tools
?
Storage
Experts
and Tools
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Proprietary
Event Format
Standardized
Event Format
Adapters
Applications
Database
Application
server
Servers
Adapters
Storage
devices
Networks
Common Event Infrastructure
Feedback
Knowledge
based
decision
Policies
Data
Common
Base Event
WEF
CMDB
Policy
Repository
Symptom
Catalog
Call Home
Development
Operations
Self-Healing architecture and standards
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Europe
May 2-5, 2006 Madrid, Spain
© Copyright IBM
Corporation 2006
Autonomic Computing
Simplifying the rule with Standards
Web Services Distributed Management ( WSDM)
 A Web services standard that lets you plug any
resource into any management applications:
– Enabling seamless management of
HW/SW resources in heterogeneous
environment (through common language)
– Providing a scalable, common approach
for management of existing systems and
SOA-based systems
 30+ IBM products and 50+ Business Partner
products that support our initial implementation
of the WSDM event format
www.ibm.com/alphaworks
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© 2006 IBM Corporation
Autonomic Computing
Customers around the world see the value…
Paris
Tokyo
Belgium
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10–20% improvement
60% improvement
Days to <1 hour
40% improvement
85% improvement
improvement in Software
Delivery & Fulfillment
90% improvement
From 3 people for 2 hours
to 1 person for 15 minutes
70% improvement
10–30% savings
in IT support costs
50% improvement
30% time savings
50% gain in productivity
20–30% improvement
95% reduction in problem
identification/resolution time
© 2006 IBM Corporation
Autonomic Computing
• Optimise availability and performance of IT and business services
• Interconnect IT domains with dynamic role-based work environments
• Automate and integrate key IT processes
INFRASTRUCTURE MANAGEMENT
TRADITIONAL
• Optimise application performance
• Rapidly isolate and diagnose application performance issues
• Automate tasks for maintaining application service levels
RESOURCE MANAGEMENT
• Optimise resource availability
• Maintain resource-specific information
• Analyse historical and real-time resource data
BASIC
MANAGED
PREDICTIVE
ADAPTIVE
Business environment
IT SERVICE MANAGEMENT
ON DEMAND BUSINESS
An evolutionary approach
AUTONOMIC
Levels of IT process automation
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© 2006 IBM Corporation
Autonomic Computing
Requirements
AC
- a key driver offor
advanced
an ITSM
technologies
Platformand standards
Effective and efficient delivery of IT services in support of business goals
Desktop
Experts
and Tools
Availability Management
Network
Experts
and Tools
Server
Database experts
Mainframe
Experts
Experts
and
Toolsand Tools
and Tools
Application
Experts
and Tools
Technology
AC
Technology & Standards
 Standards
based
API’s
 Self-managing
autonomic
technologies
are a key
interface
to
applications
ingredient for effective IT Service Management
Technology
Change Management
 Automate
tasks
all the way technologies
Eg. Autonomic
Problem
Management
to the time
execution
layer root cause of
Significantlydown
reduces
to identify
 Collect data and integrate
problems leveraging:
Service Level Management
Change Management
Mainframe
Experts
and Tools
Storage
Experts
and Tools
People
 Defined roles based on
ITSM process
 Identify bottlenecks as
processes execute
 Monitor and dynamically
adjust actual work
Log Trace
Analyzer
into the
workflow
IT Service
Information
People
End-to-end correlation and graphical viewer
Management
Security ManagementSymptom data base capability
Information
Processes
Automation of problem resolution
 End to End process
 Both
consolidated implementations
and
Dozens
of referenceable
Information Lifecycle
monitoring provides
federated data
Management
aggregated view of business
integration
 Autonomic standards
that enable interoperability
Process
Web Services
Distributed
Management ( WSDM) Enabling
 Standards based reusable
 Data
model designed
Release Management
seamless management
of HW/SW resources in heterogeneous
process models for
for exploitation
environment (through common language)
investment protection
Providing a Shared
scalable,across
common approach for mgmt of IT
 Easily customizable to fit
management
tools
infrastructure and
SOA-based
systems
into customer organization
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© 2006 IBM Corporation
Levels of autonomic maturity as a base model in an
Autonomic Readiness Engagement
Autonomic
Adaptive
Predictive
Managed
Basic
Manual analysis and
problem solving
Level 1
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Centralized
tools, manual
actions
Level 2
“
Cross-resource
correlation and
guidance
Level 3
System monitors,
correlates and
takes action
Dynamic business
policy based
management
Evolution not
revolution
Level 4
Level 5
IBM’s autonomic computing initiative will become its most
important cross-product initiative (as the foundation of on demand).
—Thomas Bittman
© 2006 IBM Corporation
Autonomic Computing
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© 2006 IBM Corporation