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