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 IBM
and Autonomic Computing
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eLiza adapts one last time
In a self-configuring transformation of historical proportions, Project eLiza of IBM self-managing IT infrastructure fame, is now known as the IBM autonomic computing initiative. This remarkable display of self-optimization comes at a time when all of IBM, in collaboration with customers, the open community and other vendors is taking the lead in delivering on the promise of next generation e-business computing. Rather than taking the narrow self-protecting, self-preserving view, eLiza is taking the ultimate step in dynamically adapting to changes in business policies by surrendering its initial code name to one that is more universally understood and appreciated. In moving on, eLiza leaves a self-healing legacy for devoted fans, demonstrating how to take corrective action and move on without disrupting ongoing processes and selflessly showing what the IBM autonomic computing initiative is all about!
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eServer™® product line brings technology innovation, application flexibility, and autonomic capabilities for managing the heterogeneous mix of servers required to support dynamic e-business. By providing unlimited scalability, support for open standards, and mission-critical qualities of service, IBM
eServer™ products enable you to meet the needs of your business while enjoying a low total cost of ownership.
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IBM
eServer™ products incorporate a variety of advanced autonomic computing capabilities based on the
four characteristics of self-managing systems:
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 Self-configuring
The seamless integration of new hardware resources and the cooperative yielding of resources by the operating system is an important element of self-configuring systems. Hardware subsystems and resources can configure and re-configure autonomously both at boot time and during run time. This action may be initiated by the need to adjust the allocation of resources based on the current optimization criteria or in response to hardware or firmware faults. Self-configuring also includes the ability to concurrently add or remove hardware resources in response to commands from administrators, service personnel, or hardware resource management software.
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Self-healing
With self-healing capabilities, platforms can detect hardware and firmware faults instantly and then contain the effects of the faults within defined boundaries. This allows platforms to recover from the negative effects of such faults with minimal or no impact on the execution of operating system and user-level workloads.
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Self-optimizing
Self-optimizing capabilities allow computing systems to autonomously measure the performance or usage of resources and then tune the configuration of hardware resources to deliver improved performance.
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Self-protecting
This allows computing systems to protect against internal and external threats to the integrity and privacy of applications and data.
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