WELCOME

AUTONOMIC COMPUTING

PRESENTED BY: NIKHIL P

S7 IT ROLL NO: 33

Motivation

Introduction

Why Autonomic Computing

Characteristics

Architecture

Application

Challenges

Conclusion

OVERVIEW

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

Present day IT environment

Complexity of Information Technology

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

“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

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…..

“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

CHARACTERISTICS

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

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

SELF-HEALING

Discover, diagnose and react to

disruptions without disrupting

the service environment

Fault components should be

– detected

– Isolated

– Fixed

– reintegrated

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

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

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

LEVELS OF AUTONOMIC MATURITY

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…

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…

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

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..

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

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…

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…

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…

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…

E−Sourcing

Problem determination

Complex analysis

Autonomic management

APPLICATIONS

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

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

http:// www.ibm.com

http:// www.research.ibm.com

http:// www.wikipedia.org

REFERENCES

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