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Experimental measurements were performed in order to study the effect of each
of the activation schemes on the restoration time. An experimental run
consisted of measuring the average restoration time using the estimates
calculated above for each of the four activation schemes for a given
OTN and DCN network pair. Table 1 shows the typical values
of various parameters used in the calculation of restoration time as
suggested in [4]. The Georgia Tech Internet Topology Modeler
(gt-itm) was used in order to generate pure-random [11],
undirected OTN and DCN graphs. The OTN graphs were
generated using the Flat Random Graph model provided by the gt-itm
whereas the Transit-Stub Graph model was used to represent DCN structure
[11,12].
The gt-itm package offers ways to control the network topology
model, the number of nodes, the edge probability, the node-link distribution
and the geographical network size for the graphs generated. In
order to be representative of real networks, the geographical sizes of
the OTN and the DCN were always maintained equal. A mapping was developed
from each node in the OTN to a unique node in the DCN to model its controller.
Using the geographical position information provided
by gt-itm for each node in a graph, the mapping function ensured
that an OTN node was always mapped to the approximately8nearest DCN node. Furthermore, the lengths of edges between a pair of
OTN nodes were then set to the distance between their controlling DCN
nodes to ensure a sound model. The OTN generated was always much smaller
than the DCN in node-count (except in Experiment 3).
Each data point was obtained by running measurements on sets of at least
ten different randomly generated OTN/DCN pairs. Only 2-node connected
graphs were used as OTNs for any experiment. All
possible shortest paths in an -node OTN were considered
to be primary paths. All
possible node- and
link-disjoint second-shortest paths in an -node OTN were considered to
be secondary or alternate paths. Each data point represents the mean of
the time to restore traffic from a primary path (shortest path) to its
node- and link-disjoint secondary (second-shortest) path. The Stanford
GraphBase [13] library was used for writing routines to
perform measurements. The Walrus Graph Visualization
tool from CAIDA9 was used for visualizing
graphs.
Subsections
Next: OTN and DCN Size
Up: Fast Restoration Signaling in
Previous: Fast Reroute with Parallel
Swapnil Bhatia
2002-08-02