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.
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.
Table 10.1 outlines the five levels of implementation.
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 |
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