to be cross-connected for the cases with varying
weight factor. The effective bandwidth has a sig-
nificant dependence on the LSP capacity, and in
the case of decreasing the demand the effective
bandwidth has a higher relative increase. There-
fore the case with reduced demand is more sen-
sitive to the number of LSPs.
For all cases the sum of the required bandwidth
on the LSPs on a link is less than the actual link
bandwidth, and the link bandwidth not allocated
is illustrated in Figure 16 a). When the number
of LSPs is increased from the minimum number
to the maximum number of LSPs, the required
total LSP bandwidth increases. The additional
bandwidth caused by establishing LSPs is
depicted in Figure 16 b). In these examples, the
last type of traffic flow in Table 2 (i.e. Flow
id 5.2) has been assigned its mean rate during
the capacity calculations. This is to see the effect
of less guarantees to the Telegame application.
The superfluous capacities on links could be
used for additional traffic loads, both giving
higher rates to ongoing sessions and potentially
accepting more sections (when admission con-
trol is used).
8 Measuring Traffic and
Performance
8.1 IP Performance Metrics
In order to reach a situation where users and
providers of IP services have a harmonised
understanding of performance of the network,
a set of harmonised IP performance metrics has
been devised. The following criteria have been
identified to achieve a common understanding,
ref. [RFC2330]:
- The metrics must be concrete and well-
defined. - A methodology for a metric should have the
property that it is repeatable (i.e. same results
from applying the method several times under
identical conditions). - The metrics must exhibit no bias when identi-
cal technology has been used to implement the
IP network. - The metrics must exhibit understood and fair
bias for IP networks implemented with non-
identical technology. - The metrics must be useful to users and
providers in understanding the performance. - The metrics must avoid inducing artificial
performance goals.
Figure 15 Results from a selection of example variations: a) Number of LSPs;
b) Total, k = 1.0; c) Relative cost for minimum number of LSPs and maximum
number of LSPs related to the lowest obtainable cost
Figure 16 Available bandwidth: a) Link bandwidth not allocated to LSPs;
b) additional bandwidth caused by establishing LSPs
reference case single high demand one tenth demand
min LSPs max LSPs
c)
Relative cost
1.15
1.10
1.05
1.00
0.95
850
650
450
250
50
0.01 1 100
Weight factor, k
a)
Number of LSPs
high demand
reference
one tenth demandsingle CoS
Million
200
100
0
Total cost
b)
reference
case singlehigh
demandone tenthdemand
single CoS
high demand
25000
20000
15000
10000
5000
0
0.01
Weight factorr, k
b)
Additional bandwidth
Mbit/s
1 100 10000 1000000
reference
one tenth demand
reference
single CoS
high demand
5000
4000
3000
2000
1000
0
0.01
Weight factor, k
a)
Not allocated bandwidth
one tenth demand
Mbit/s
1 100 10000 1000000