Microbursts are traffic events that can cause severe performance degradation in a network. With the advent of modern big data applications, microburst events are not uncommon in a data center. Rather than attempting superficial ad-hoc solutions, such as providing large buffer switches/routers, under provisioning bandwidth, etc., this proposal provides a technique to identify an offending application causing a microburst based on queue-level thresholds. Once identified, appropriate remedial action(s) (e.g., Quality of Service (QoS) actions, security actions, etc.) can be performed by a network administrator.
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Sampathkumar, Saravanan; Modi, Ajay; Sreerangam, Sandeep; Karyampudi, Umamaheswararao; and Singh, Ashish, "IDENTIFYING APPLICATION AND TRAFFIC PATTERNS CONTRIBUTING TO MICROBURSTS AND CONGESTION IN DATA CENTER NETWORKS", Technical Disclosure Commons, (January 28, 2020)