An autonomous system will never settle for the status quo. It will be constantly monitoring predefined system goals or performance levels to ensure that all systems are running at optimum levels. With the business constantly changing and demands from customers and suppliers changing equally fast, self-adapting requirements will be needed.
Self-optimization will be the key to allocating e-utility-type resources—detemining when an increase in processing cycles is needed, how much in needed, where they are needed, and for how long. To be effective, autonomous self-optimization will need advanced data and feedback. The metrics need to be in a form where rapid analysis can take place. Many new and innovative techniques are needed for optimization to be successful—for example, control theory is needed in new autonomous infrastructures. New algorithms to process control decisions will be needed.
Examples:
Calling for additional processing power from the e-utility when needed. Releasing those additional cycles when peaks are over.
Working with outside vendor software.
Interfacing with other autonomic modules to exchange data and files.
Optimum sub-second response times for all types of access devices, such as personal computers, handheld devices, and media phones.
