Abstract: Methods, systems and articles of manufacture to generate file transfer monitoring criteria are disclosed. An example method obtains a file transfer log file from a first network entity and obtains from the transfer log file, file transfer metadata that is associated with file transfer activity between the first network entity and a second network entity. The file transfer metadata is used to generate a file transfer monitoring criterion that is associated with selectively monitoring the file transfer activity between the first network entity and the second network entity. Service level criteria associated with the file transfer event is automatically updated based on the file transfer monitoring criterion.

Abstract: Methods, systems and articles of manufacture to generate file transfer monitoring criteria are disclosed. An example method obtains a file transfer log file from a first network entity and obtains from the transfer log file, file transfer metadata that is associated with file transfer activity between the first network entity and a second network entity. The file transfer metadata is used to generate a file transfer monitoring criterion that is associated with selectively monitoring the file transfer activity between the first network entity and the second network entity. Service level criteria associated with the file transfer event is automatically updated based on the file transfer monitoring criterion.

Abstract: Methods, systems, and articles of manufacture to generate file transfer monitoring criteria are disclosed. An example method obtains a file transfer log file from a first network entity and obtains from the transfer log file file transfer metadata that is associated with file transfer activity between the first network entity and a second network entity. The file transfer metadata is used to generate a file transfer monitoring criterion that is associated with selectively monitoring the file transfer activity between the first network entity and the second network entity. Service level criteria associated with the file transfer event is automatically updated based on the file transfer monitoring criterion.

Abstract: A method for correlating business events in a complex business system. A flow diagram containing a collection of nodes (representing processes) and links (representing the transport connections) between these nodes is generated. An instance of an event stream from a node that is to be connected to an instance of an event stream from a neighboring node is identified when a node transports a transaction across a link. The metadata associated with the utilized link that was used to transport the transaction between the nodes is obtained. The instances of the event streams are then correlated using the obtained metadata. Further, each instance of the event streams is assigned an identification. In this manner, business events are correlated without the requirement of users providing a common key as well as without the requirement of monitoring each user of the system throughout the entire transaction.

Abstract: Methods, systems, and articles of manufacture to generate file transfer monitoring criteria are disclosed. An example method obtains a file transfer log file from a first network entity and obtains from the transfer log file file transfer metadata that is associated with file transfer activity between the first network entity and a second network entity. The file transfer metadata is used to generate a file transfer monitoring criterion that is associated with selectively monitoring the file transfer activity between the first network entity and the second network entity. Service level criteria associated with the file transfer event is automatically updated based on the file transfer monitoring criterion.

Abstract: A system and computer program product for correlating business events in a complex business system. A flow diagram containing a collection of nodes (representing processes) and links (representing the transport connections) between these nodes is generated. An instance of an event stream from a node that is to be connected to an instance of an event stream from a neighboring node is identified when a node transports a transaction across a link. The metadata associated with the utilized link that was used to transport the transaction between the nodes is obtained. The instances of the event streams are then correlated using the obtained metadata. Further, each instance of the event streams is assigned an identification. In this manner, business events are correlated without the requirement of users providing a common key as well as without the requirement of monitoring each user of the system throughout the entire transaction.

Abstract: A method for correlating business events in a complex business system. A flow diagram containing a collection of nodes (representing processes) and links (representing the transport connections) between these nodes is generated. An instance of an event stream from a node that is to be connected to an instance of an event stream from a neighboring node is identified when a node transports a transaction across a link. The metadata associated with the utilized link that was used to transport the transaction between the nodes is obtained. The instances of the event streams are then correlated using the obtained metadata. Further, each instance of the event streams is assigned an identification. In this manner, business events are correlated without the requirement of users providing a common key as well as without the requirement of monitoring each user of the system throughout the entire transaction.

Abstract: A method, system and computer program product for correlating business events in a complex business system. A flow diagram containing a collection of nodes (representing processes) and links (representing the transport connections) between these nodes is generated. An instance of an event stream from a node that is to be connected to an instance of an event stream from a neighboring node is identified when a node transports a transaction across a link. The metadata associated with the utilized link that was used to transport the transaction between the nodes is obtained. The instances of the event streams are then correlated using the obtained metadata. Further, each instance of the event streams is assigned an identification. In this manner, business events are correlated without the requirement of users providing a common key as well as without the requirement of monitoring each user of the system throughout the entire transaction.

Abstract: Systems and methods for user-guided iterative node discovery and topology discovery in a network of nodes involved in secure and reliable data transfer.