Autonomic computing system with model transfer

A method for autonomic system management comprising:

• maintaining within an autonomic computing system comprising a plurality of components arranged in a decentralized peer-to-peer architecture where each peer comprises one of the plurality of components, a plurality of component models, each component model associated with one of the plurality of components in the autonomic computing system and each component model simulating operation of its associated component to predict a state and performance of that component for various operational conditions of the autonomic computing system, wherein each component model is supplied by and maintained by its associated component independent of other components;
• using each component to forward its component model to one or more peer components within the autonomic computing system using peer-to-peer file sharing protocols;
• identifying components in the plurality of components that obtain a sufficient number of component models through the peer-to-peer file sharing protocols to form an aggregate model of the autonomic computing system to perform system-wide optimization;
• selecting one of the identified components to function as a system-wide management server to compute an updated operational state;
• computing an updated operational state for the autonomic computing system at the selected identified component using peer-to-peer file sharing protocol forwarded component models, the updated operational state associated with improved autonomic computing system behavior in at least one measure of behavior over a current operational state of the autonomic computing system;
• and
• managing the autonomic computing system in accordance with the computed updated operational state.

A method for autonomic system management comprising:

• maintaining within an autonomic computing system comprising a plurality of components arranged in a plurality of local zones where each zone comprises two or more of the components, a plurality of component models, each component model associated with one of the plurality of components in the autonomic computing system and each component model simulating operation of its associated component to predict a state and performance of that component for various operational conditions of the autonomic computing system, wherein each component model is supplied by and maintained by its associated component independent of other components;
• sharing within each local zone component models among the components disposed in that local zone using an epidemic gossip protocol;
• using components within each local zone to elect at least one component within that local zone to communicate shared component models from that local zone to other components of the autonomic computing system outside that local zone;
• applying the sharing of local zone component models within each local zone and the communication of the shared component models to components outside each local zone recursively to convey a system-wide aggregate model to a top-level component within the autonomic computing system;
• computing an updated operational state for the autonomic computing system at the top-level component using the conveyed system-wide aggregate model, the updated operational state associated with improved autonomic computing system behavior in at least one measure of behavior over a current operational state of the autonomic computing system;
• and
• managing the autonomic computing system in accordance with the computed updated operational state by adjusting operational states of one or more of the plurality of components based on the updated operational state.