AUTONOMIC COMPUTING B.Akhila Priya 06211A0504

Present-day IT environments are complex, heterogeneous in terms of software and hardware from multiple vendors

Complexity of information technology

The vision for Autonomic computing  Autonomic computing: term coined by IBM. Principle similar to autonomic nervous system. Controls autonomous (involuntary) functions of the body… e.g. Disorders can result in:- Diabetes - vomiting - Fatigue … “Intelligent” systems that: Manage complexity Know themselves Continuously tune themselves Adapt to unpredictable conditions Prevent and recover from failures Provide a safe environment

Autonomic communication  Integrated technology platform for sensing, communicating, decision making and reacting to situation changes in networking and communication environment.

Characteristics of autonomic communication systems

Increased Responsiveness Adapt to dynamically changing environments Operational Efficiency 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-managing systems that deliver :

And also 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.

Basic Level 1Level 2Level 3Level 4Level 5 Manual analysis and problem solving Basic Centralized tools, manual actions Cross-resource correlation and guidance Dynamic business policy based management Basic Level 1Level 2Level 3Level 4Level 5 Manual analysis and problem solving Basic Centralized tools, manual actions Managed Predictive Adaptive Cross-resource correlation and guidance System monitors, correlates and takes action Dynamic business policy based management Autonomic Evolution not revolution LEVELS OF AUTONOMIC MATURITY

Core building blocks for an open architecture Consist of one or more managed elements coupled with a single autonomic manager Management using MAPE: – Monitoring managed elements and their external environment – Analyzing the gathered information – Planning and executing based on information A Managed Element can be: Hardware resource, CPU, database, Application service,etc

It is the Fundamental atom of the architecture – Managed element(s) – Autonomic manager AUTONOMIC ELEMENT

GENERAL ARCHITECTURE OF AUTONOMIC COMPUTING An Autonomic Element manages itself and delivers service Interaction between different Autonomic Elements using Policies

CHALLENGES:: 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

CONCLUSION:  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.” Autonomic computing is:

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