EVOLUTION NOT REVOLUTION

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EVOLUTION, NOT REVOLUTION

One of the last things a CIO needs is to be told that the latest technology is an IT revolution. Delivering system-wide autonomic computing environments should never be considered in this context. The implementation of autonomic computing is an evolutionary process that requires planning and support with additional processes. The path to full autonomic computing should be carefully planned and implemented. The road map to autonomic computing is achieved through five levels.

  1. Basic level: This is the starting point for all IT environments. Each infrastructure element is managed independently by IT professionals who set it up, monitor it and eventually replace it.

  2. Managed level: Systems management technologies can be used to collect information from disparate systems into fewer consoles, reducing the time it takes for the administrator to collect and synthesize information as the IT environment becomes more complex.

  3. Predictive level: New technologies are introduced to provide correlation among several infrastructure elements. These elements can begin to recognize patterns, predict optimal configurations, and provide advice on what course of action the administrator should take.

  4. Adaptive level: As these technologies improve and people become more comfortable with the advice and predictive power of these systems, we can progress to the adaptive level, where the systems themselves can automatically take the right actions based on the information that is available to them and the knowledge of what is happening in the system.

  5. Autonomic level: The IT infrastructure operation is governed by business policies and objectives. Users interact with the autonomic technology to monitor the business processes, alter the objectives, or both.

Table 10.1 outlines the five levels of implementation.

Table 10.1. The Five Levels of Autonomic Computing Implementation (The purpose is to move from manual Level 1 to automatic Level 5.)

Basic

Level 1

Managed

Level 2

Predictive

Level 3

Adaptive

Level 4

Autnonomic

Level 5

Multiple sources of system-generated data

Consolidation of data through management tools

System monitors, correlates, and recommends action

System monitors, correlates, and takes action

Integrated components dynamically managed by business rules and policies

Requires extensive, highly skilled staff

IT staff analyzes and takes actions

IT staff approves and initiates actions

IT staff manages performance against service-level agreements

IT staff focuses on enabling business needs

 

Great system awareness

Reduced dependency on deep skills

IT agility and resilience with minimal human interaction

Business policy drives IT management

 

Improved productivity

Fast and better decision making

 

Busness agility and resiliency




Amazon


Autonomic Computing
Autonomic Computing
ISBN: 013144025X
EAN: 2147483647
Year: 2004
Pages: 254
Authors: Richard Murch

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