Multi-platform optimization model

A computer implemented method for monitoring the performance of a digital networked system, wherein the system includes first and second platforms, the method comprising:

• generating a first value indicating a characteristic of operation of the first platform;
• transferring the first value to the second platform;
• obtaining a second value indicating a characteristic of operation of the second platform;
• and
• combining the first and second values into a composite value by adjusting one of the first or second values to account for a difference in operation characteristics between the first and second platforms wherein said difference in operation characteristics dynamically improves an object parameter value by a factor adjusted according to a block allocation parameter size through real time data collection in a Dynamic Aggregate System Process Optimization (DASPO) system to manage a heterogeneous network, wherein said DASPO allows an end user to define a set of node resource pools (NRP), wherein said NRP's are organized into Functional Resource Pools (FRLP), said FRP's linked to said NRP's to define a user specified system process flow and to define a sub network, wherein said specified system process flow and sub network provides a work flow specified by an end user to accelerate the display of results in a graphical interface without executing across the entire network, wherein the work flow creates a plurality of DASPO sub networks such that linked FRP processes are provided in a distributed, hierarchical, peer-to-peer performance management network application, wherein said peer-to-peer performance management network application takes network latency into account to modify a composite node value (CNV) or local node value (LNV), wherein said CNV's and LNV's are coupled with a central console such that data is accumulated to provide an end user with best node information, wherein said best node information allows an end user to optimize network performance by performing one or more of the following steps in any order:
• redirecting requests and connections within FRP's;
• using data generated by SLO nodes;
• computing said node specific statistics;
• and broadcasting said statistics results to a plurality of network specific applications.