System, method and program product for local client device context-aware shared resource and service management

A method of context aware resource management, said method comprising:

• receiving requests for shared resource capacity in a cloud environment including a plurality of provider computers selectively providing cloud-based personal assistants, each request being for a handheld client device within a defined context, said defined context including time, device location and associated activity;
• queuing a job for provisioning resources within said defined context for said each request;
• monitoring handheld client devices for local context changes;
• and whenever local context changes occur for that respective device
• analyzing the current local context to determine a global context;
• extracting job changes from global context;
• and
• selectively modifying a respective job responsive to extracted said job changes.

A computer program product for context aware resource management, said computer program product comprising a non-transitory computer usable medium having computer readable program code stored thereon, said computer readable program code causing one or more computer executing said code to:

• receive requests for resource capacity, each request from a mobile client device being within a defined context;
• queue a job for provisioning resources within the defined context for said each request;
• monitor mobile client devices for local context changes;
• and whenever local context changes occur for that respective device
• analyze the current local context to determine a global context;
• extract job changes from global context;
• and
• selectively modify a respective job responsive to extracted said job changes.

A computer program product for context aware resource management, said computer program product comprising a non-transitory computer usable medium having computer readable program code stored thereon, said computer readable program code causing a plurality of computers including provider computers executing said code to:

• receive requests for shared resource capacity in a cloud environment including a plurality of provider computers selectively providing cloud-based personal assistants, each request being for a handheld client device within a defined context, said defined context including time, device location and associated activity;
• queue a job for provisioning resources within said defined context for said each request;
• monitor handheld client devices for local context changes;
• and whenever local context changes occur for that respective device
• analyze the current local context to determine a global context;
• extract job changes from global context;
• and
• selectively modify a respective job responsive to extracted said job changes.