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The skewed degree distributions of many tier-1 ISPs indicate that
many geographic regions of an ISP may get disconnected if some
high connectivity geographic nodes fail. To evaluate this, we consider the
failure scenario where the nodes of highest degrees in a graph fail.
We define a pair of geographic nodes that are connected by a network
path and can communicate with each other as a communicating
pair. A connected topology of nodes can support
communicating pairs. (Since each node represents a geographic
region, we also consider intra-node communication of a node with
itself.) Under the scenario where the nodes of highest degrees
fail, the graph is disconnected into a forest where a node can only
communicate with other nodes in its connected component. A connected
component with nodes can support communicating
pairs. In the simple case where the parent of a leaf node fails, it
produces a connected component of size which supports exactly one
communicating pair.
Figure 16:
Tolerance to Geographic Failures
|
Figure 16 shows the percentage of communicating
pairs supported in the various ISP networks in face of a varying
number of geographic failures. The combined topology of the 9 ISPs
supports 68% of the communicating pairs even after the removal of 5
important networking hubs in the US (San Jose, New York, Washington
DC, Chicago, Los Angeles). Among the 9 ISPs, while Genuity and PSINet
exhibit the least and the best fault tolerance characteristics. In the
face of a single node failure, most of the ISPs lose between 15% and
30% of their communicating pairs in the worst case.
It is important to note that these results may represent a near-worst case
failure scenario for the ISPs. If, however, many backup links are missing from
our topology, the fraction of communicating pairs may be much higher than
what we have portrayed. However, our essential message from this analysis
is that a balanced degree distribution is a good feature for building a
fault tolerant topology for an ISP.
Next: Conclusions
Up: Geographic fault tolerance of
Previous: Degree distributions
Lakshminarayanan Subramanian
2002-04-14