초록 ▼

A method, system and program storage device for measurement acquisition using predictive models which: (a) can improve scalability; (b) can accommodate devices that operate in a disconnected mode; and (c) enable integration of data from sources with different time granularities. Various features can

A method, system and program storage device for measurement acquisition using predictive models which: (a) can improve scalability; (b) can accommodate devices that operate in a disconnected mode; and (c) enable integration of data from sources with different time granularities. Various features can be embodied in software and an object-oriented implementation is described. Different implementations are described, such as standalone predictive models implemented only on a manager (for example systems management/load balancing) or managed system (for example router management); or a parallel implementation with predictive models running on both the manager and managed (agent) systems (for example financial trading or system health monitoring). In a parallel model implementation, the agent constructs a predictive model that is conveyed to the manager system. The models are used in parallel, possibly with no communication for an extended time. The manager uses its model to provide tentative values of measurement variables to management applications. The agent uses its model to check its accuracy. If the model is found to be insufficiently accurate, an updated model is transmitted to the manager. The invention allows other measurement acquisition protocols to operate concurrently on the same measurement variables.

대표청구항 ▼

1. A predictive model-based method for measurement data acquisition in a distributed system, comprising the steps of:dynamically constructing a predictive model, based on one or more non-static measurement variable values, on both a manager system and a disconnectable managed system; operating the p

1. A predictive model-based method for measurement data acquisition in a distributed system, comprising the steps of:dynamically constructing a predictive model, based on one or more non-static measurement variable values, on both a manager system and a disconnectable managed system; operating the predictive model on both the manager system and the managed system; and the manager system processing requests for the measurement variable values based on the predictive model on the manager system.