welcome. autonomic computing presented by: nikhil p s7 it roll no: 33
TRANSCRIPT
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WELCOME
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AUTONOMIC COMPUTING
PRESENTED BY: NIKHIL P
S7 IT ROLL NO: 33
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Motivation
Introduction
Why Autonomic Computing
Characteristics
Architecture
Application
Challenges
Conclusion
OVERVIEW
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Present day IT environments are complex, heterogeneous in terms of software & hardware from multiple vendors.
Computing systems have evolved into millions of interconnected devices whose interactions create complex web on increasingly complex architecture.
MOTIVATION
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Present day IT environment
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Complexity of Information Technology
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It is a term coined by IBM .
Principle similar to autonomic nervous system.
Its main aim is to make computer system more self
managing and elastic, removing obstacles to growth and
flexiblity.
Helps to address complexity by using technology to
manage technology
INTRODUCTION
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“Civilization advances by extending the number of important operations which we can perform without thinking about them”- ALFRED NORTH WHITEHEAD
This quote made by the preeminent mathematician Alfred Whitehead holds both the lock and the key to the next era of computing.
The high-tech industry has spent decades creating computer systems with ever- mounting degrees of complexity to solve a wide variety of business problems.
WHY AUTONOMIC COMPUTING
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Ironically, complexity itself has become part of the problem. It’s a problem that's not going away, but will grow exponentially, just as our dependence on technology has
To overcome this problem IBM suggested a solution: build computer systems that regulate themselves much in the same way as our autonomous nervous systems regulates and protects our bodies.
This new model of computing is called autonomic computing
CONTD…..
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“Intelligent” systems that:
Manage complexity
Know themselves
Continuously tune themselves
Adapt to unpredictable conditions
Prevent and recover from failures
Provide a safe environment
The vision for Autonomic Computing
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CHARACTERISTICS
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Self-managing systems that deliver
Increased Responsiveness
Adapt to dynamically changing environments
OperationalEfficiency
Tune resources and balance workloads to maximize use of IT resources
Business Resiliency
Discover, diagnose,and act to prevent
disruptions
Secure Information and Resources
Anticipate, detect, identify, and protect
against attacks
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SELF-CONFIGURATION
Adapt automatically to the
dynamically changing
environment
Internal adaptation
– Add/remove new components
– configures itself on the fly
External adaptation
-Systems configure themselves
into a global infrastructure
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SELF-HEALING
Discover, diagnose and react to
disruptions without disrupting
the service environment
Fault components should be
– detected
– Isolated
– Fixed
– reintegrated
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SELF-OPTIMIZATION
Monitor and tune resources
automatically– Support operating inunpredictable
environment– Efficiently maximization
ofresource utilization
withouthuman intervention
Dynamic resource allocationand workload management.
– Resource: Storage, databases,networks
– For example, Dynamic server clustering
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SELF-PROTECTION
Anticipate, detect, identify
and protect againstattacks from anywhere
– Defining and managing user
access to all computingresources– Protecting againstunauthorized resourceaccess, e.g. SSL– Detecting intrusions andReporting as they occur
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Self-aware System is aware of its internal state.
Context-aware System is aware of its execution environment.
Open System is able to operate in an heterogeneous environment.
Anticipatory System is able to anticipate the optimized resources needed.
And also
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LEVELS OF AUTONOMIC MATURITY
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BASIC :
IT professionals manage everything by hand.
MANAGED :
Data are collected from the system (via sensors) and
selected . The time is reduced.
PREDICTIVE :
Recognition of patterns and suggestion of a solution,
the decision is made still by human.
CONTD…
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ADAPTIVE :
The system makes and applies the solutions.
IT staff provides policies used for plans and monitors
system’s actions.
AUTONOMIC :
Integrated IT components are collectively and
dynamically managed by business rules and policies.
CONTD…
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ARCHITECTURE
Autonomic element is the fundamental atom of the architecture
It consist of two parts Managed Element Autonomic Manager
Consist of one or more managed elements coupled with a single autonomic manager
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A Managed Element can be:
Hardware resource, CPU, database, Application service, etc.
The components and functions of a single autonomic manager
often referred to as the "MAPE loop" for Monitor, Analyze, Plan,
and Execute, supplemented by a Knowledge base.
CONTD..
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Core building blocks for an open architecture
Management using MAPE:
– Monitoring managed elements
and their external environment
– Analyzing the gathered
information
– Planning and executing based
on information
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MONITOR
An autonomic manager monitors instrumentation data from
multiple sensors in a system.
The sensors "sense" various aspects of the state of the
monitored computing system.
This can include aspects of the hardware instrumentation,
ambient information ,and aspects of the software components
CONTD…
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ANALYZE
This component of the autonomic manager contains the
intelligence required to interpret and correlate the above
mentioned instrumentation data.
This component usually has the ability to consult historical
data and to compare them with current state to detect
significant changes.
CONTD…
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PLAN Once an analysis report of the situation is completed, the
planning component can define a series of control actions that should bring the system to a normal operating range.
EXECUTE This component receives the series of action steps from the
planning component, and puts the plan into action.
It activates appropriate control points, or effectors, on the managed platform following the proper sequence and timing
CONTD…
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KNOWLEDGE BASE
This serves as a repository of knowledge, such as
historical data and policies, which can be utilized by the other
components in their operation.
CONTD…
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E−Sourcing
Problem determination
Complex analysis
Autonomic management
APPLICATIONS
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Autonomic System challenges
– Self-configuration in large-scale application
– Problem localization and automated remediation
– Decision making of coordination of optimizing process
– Self-protecting against active threats specific types of
threats
−Needs for a abstraction and co-operation in relevant fields
CHALLENGES
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Autonomic computing is:
Solution of today’s increasing complexity in computing
science.
Self-Management and dynamic adaptive behaviors
“The new economics requires that systems be
autonomic: autoinstalling, automanaging,
autohealing, and autoprogramming.”
CONCLUSION
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http:// www.ibm.com
http:// www.research.ibm.com
http:// www.wikipedia.org
REFERENCES
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THANK U…
QUERIES…???