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In the raise of many global organizations deploying their data centers andcontent services in India, the prefix reachability performance study fromglobal destinations garners our attention. The events such as failures andattacks occurring in the Internet topology have impact on Autonomous System(AS) paths announced in the control plane and reachability of prefixes fromspatially distributed ASes. As a consequence the customer reachability to theservices in terms of increased latency and outages for a short or long time areexperienced. The challenge in control plane event detection is when the dataplane traffic is able to reach the intended destinations correctly. Howeverdetection of such events are crucial for the operations of content and datacenter industries. By monitoring the spatially distributed routing tablefeatures like AS path length distributions, spatial prefix reachabilitydistribution and covering to overlap route ratio, we can detect the controlplane events. In our work, we study prefix AS paths from the publicly availableroute-view data and analyze the global reachability as well as reachability toIndian AS topology. To capture the spatial events in a single temporal pattern,we propose a counting based measure using prefixes announced by x % of spatialpeers. Employing statistical characteristics change point detection andtemporal aberration algorithm on the time series of the proposed measure, weidentify the occurrence of long and stochastic control plane events. The impactand duration of the events are also quantified. We validate the mechanisms overthe proposed measure using the SEA-Me-We4 cable cut event manifestations in thecontrol plane of Indian AS topology. The cable cut events occurred on 6th June2012 (long term event) and 17th April 2012 (stochastic event) are consideredfor validation.

Internet Control Plane Event Identification using Model Based Change Point Detection Techniques