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If data centers continue to grow at the current pace, they'll become extremely expensive, difficult to manage, and consist of many inefficient human touch points. Large vendors such as IBM, HP and SUN have started initiatives to address the problem of managing complex data centers by creating software and hardware components that use technology to automate technology. Autonomic Computing: Characteristics of Self-Managing IT Systems shows you how Autonomic Computing brings together a number of different areas in artificial intelligence, self-organization/emergent behavior, distributed computing, and dependability.
Learn how to build an Autonomic Computing system that adjusts to varying circumstances and more efficiently handles the available workload through:
* Self-configuration - Modifying interactions and behaviors based on
changes in the environment
* Self-healing - Discovering, diagnosing and preventing disruptions
* Self-optimization - Tuning resource usage and improving workload balancing
* Self-protection - Detecting, identifying and protecting against failure and security attacks
Look at the motivation, technology and various vendor initiatives to reduce IT infrastructure complexity through Autonomic Computing.
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