International Business Machines Corporation

Scott Douglas McCreadie

Daniel Paul Kolz

David Alan Christenson

Christopher Thomas Gloe

James Richard Coon

Andrew James Streit

Anthony Wayne Erwin

Kyong Jin Shim

Timothy R Seeger

Teresa Lynn Greene

Methods, apparatus, and computer program products for variable dynamic throttling of network traffic for intrusion prevention are disclosed that include initializing, as throttling parameters, a predefined time interval, a packet count, a packet count threshold, a throttle rate, a keepers count, and a discards count; starting a timer, the timer remaining on no longer than the predefined time interval; maintaining, while the timer is on, statistics including the packet count, the keepers count, and the discards count; for each data communications packet received by the network host, determining, in dependence upon the statistics and the throttle rate, whether to discard the packet and determining whether the packet count exceeds the packet count threshold; and if the packet count exceeds the packet count threshold: resetting the statistics, incrementing the throttle rate, and restarting the timer.

Variable dynamic throttling of network traffic for intrusion prevention

An apparatus, program product and method provide a generic error reporting and diagnosis framework that is readily suited for use in a wide variety of distributed computing environments, and that supports the autonomic reporting, diagnosis, and potentially the remediation of errors. The framework supports the encapsulation of symptomatic data associated with an error in a component of a distributed computing environment such that the encapsulated symptomatic data may be routed to an error processing facility, typically irrespective of the underlying nature of the error and the hardware and/or software platform of the component that generated the error. The error processing facility is in turn capable of routing the encapsulated symptomatic data to one or more diagnostic agents that are capable of processing the symptomatic data to prescribe a treatment for the error.

Automated error reporting and diagnosis in distributed computing environment

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Rochester, MN, United States of America

Scott Douglas McCreadie