초록 ▼

Methods and systems are provided for identifying congestion and anomalies at individual nodes, links, and segments in a network. In accordance with an embodiment of the invention, a monitoring station determines for each link in the network a statistical model based on a harmonic analysis. The monit

Methods and systems are provided for identifying congestion and anomalies at individual nodes, links, and segments in a network. In accordance with an embodiment of the invention, a monitoring station determines for each link in the network a statistical model based on a harmonic analysis. The monitoring station collects from each link metric data. The monitoring station then selects for each link a model that includes one or more harmonic components. By estimating parameters of the harmonic components, the monitoring station then captures the periodicity of the collected metric data in the harmonic components of the model. The monitoring station uses the model to estimate the state of the network from which estimated values of the metric data are determined. The monitoring station then determines whether congestion or anomalies exist in the links based on the estimated metrics.

대표청구항 ▼

Methods and systems are provided for identifying congestion and anomalies at individual nodes, links, and segments in a network. In accordance with an embodiment of the invention, a monitoring station determines for each link in the network a statistical model based on a harmonic analysis. The monit

Methods and systems are provided for identifying congestion and anomalies at individual nodes, links, and segments in a network. In accordance with an embodiment of the invention, a monitoring station determines for each link in the network a statistical model based on a harmonic analysis. The monitoring station collects from each link metric data. The monitoring station then selects for each link a model that includes one or more harmonic components. By estimating parameters of the harmonic components, the monitoring station then captures the periodicity of the collected metric data in the harmonic components of the model. The monitoring station uses the model to estimate the state of the network from which estimated values of the metric data are determined. The monitoring station then determines whether congestion or anomalies exist in the links based on the estimated metrics. ction forwards the invocation to the corresponding function of the server object. 10. The method of claim 9 wherein the functions of the phantom server object perform custom processing. 11. The method of claim 8 wherein a different class of phantom server objects is instantiated for each different type of interface of the server object for which the query function returns a pointer. 12. The method of claim 8 wherein a phantom manager object is provided to control the instantiations of the phantom server objects. 13. The method of claim 8 wherein a phantom server object is instantiated for each invocation of the query function. 14. A computer readable medium comprising computer executable instructions for performing the method of claim 8. 15. A modulated data signal carrying computer executable instructions for performing the method of claim 8. 16. A computing device comprising means for performing the method of claim 8. 17. A computer readable medium containing a data structure that includes: a client tracking server object that is a derivation of a server object; and a phantom server object having a function corresponding to a function of the client tracking server object wherein a query function of the client tracking server object returns a reference to the phantom server object and wherein the function of the phantom server object forwards its invocation to the corresponding function of the client tracking server object. 18. The computer-readable medium of claim 17 including: one phantom server object for each of a plurality of clients of the client tracking server object. 19. The computer-readable medium of claim 17 including: a phantom manager object for instantiating the phantom server object. 20. A method in a system for tracking accessing to a server component using references that are dynamically provided to client components, the method comprising: receiving from client components requests for references to the server component; in response to receiving a request, providing to the requesting client component a behavioral reference to the server component so that when the requesting client component requests a behavior of the server component using the provided behavioral reference, the server component can distinguish one requesting client from another. 21. The method of claim 20 wherein the server component performs different behavior for different clients. 22. The method of claim 20 wherein the client components provide no client-specific context when requesting behavior of the server component. 23. A computer readable medium comprising computer executable instructions for performing the method of claim 20. 24. A modulated data signal carrying computer executable instructions for performing the method of claim 20. 25. A computing device comprising means for performing the method of claim 20. 26. A method for tracking client access to a server object on a client-by-client basis without server class modification, comprising: providing a client tracking server class, derived from the server class, wherein the client tracking server class includes an implementation of a query interface function that overrides the query interface function of the server class; invoking a query interface function of the client tracking server class; and in response to said invoking, instantiating a phantom server object that provides an implementation of an interface that is the same interface as the interface that is provided by the server class. 27. A method according to claim 26, further comprising, as a result of said invoking, retrieving a pointer to the phantom server object. 28. A method according to claim 26, wherein when a client invokes a function of the phantom server object, the function can perform custom processing and forward the invocation of the function to the corresponding function of the client tracking server object. 29. A method according to claim 26, wherein the custom processing inclu