Abstract
Network and systems management environments, e.g. for telecommunications systems, have to deal with a huge amount of event notifications, i.e. hundreds of alarms per second. Conventional network management systems do not cope with this kind of workload due to their centralized nature. Therefore, distributed approaches are needed. We present a novel approach to event recognition, where not only event recording but also recognition of complex events is done in a distributed fashion. Often, exceptional system behavior cannot rely only on event notifications but has to become active to exactly determine the cause of an event. Therefore, a so-called active monitoring agent can either read additional data or trigger test operations. We describe the implementation of our distributed event recognition system on the ANSAware platform. The presentation of several measurement experiments in a MAN and WAN scenario will complete this work. Recognition time and buffer utilization is measured in different workload scenarios having deterministic arrivals, arrivals according to a Poisson Process and to a Markov-Modulated Poisson Process.
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© 1997 IFIP International Federation for Information Processing
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Bürger, I., Meyer, B. (1997). Design and Evaluation of a Distributed Event Recognition System. In: Rolia, J., Slonim, J., Botsford, J. (eds) Open Distributed Processing and Distributed Platforms. IFIP Advances in Information and Communication Technology. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35188-9_15
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DOI: https://doi.org/10.1007/978-0-387-35188-9_15
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