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Contents Telektronikk - Telenor

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higher for the actual day compared to the<br />

three day mean. These mean values are<br />

calculated for the whole time window<br />

duration. Considering Figure 5.3, it is<br />

visible that there is a 6 hour period during<br />

the night where there is hardly any<br />

traffic at all. Taking the total traffic load<br />

for the day and dividing it by the remaining<br />

18 hours yields a mean for periods of<br />

the day with traffic equal to 443,508<br />

bit/s, which is a more representative<br />

mean.<br />

The busy-hour mean is 3.65 times larger<br />

than the three day mean. The CoV for the<br />

busy-hour is also smaller than for the<br />

other time windows, since the traffic load<br />

is on a more stable level during the busyhour<br />

compared to the rest of the measurement<br />

period.<br />

5.4 LAN interconnection traffic<br />

demands to WAN services<br />

The characteristics of LAN interconnection<br />

traffic comprise three main requirements<br />

for existing and future WAN services:<br />

1) asymmetrical transmission<br />

capacity, 2) efficient traffic mechanisms<br />

for bursts, and 3) flexible allocation of<br />

capacity.<br />

The asymmetrical traffic load is due to<br />

the client-server traffic, where the server<br />

to client traffic can be up to 7 times the<br />

load in the opposite direction. Clearly,<br />

symmetrical WAN links, as today’s leased<br />

lines, must be dimensioned with<br />

respect to the server to client traffic. This<br />

results in idle bandwidth in the less loaded<br />

traffic direction, which represents<br />

extra transmission costs for the customer<br />

and over-booking of network resources<br />

for the network operator.<br />

Customers in the existing data packet<br />

services, like X.25 and Frame Relay, are<br />

charged on the basis of carried traffic<br />

volume, where a different traffic load per<br />

direction is taken into account. Also, the<br />

customer is charged for the symmetrical<br />

subscriber line into the nearest X.25 or<br />

Frame Relay node. The latter is a leased<br />

line with a fixed tariff, regardless of traffic<br />

volume. An early ATM service, with<br />

leased subscriber lines into the nearest<br />

ATM node, is expected to follow a similar<br />

philosophy. When ATM has been<br />

deployed to the customers’ premises, a<br />

tariff totally dependent on asymmetric<br />

traffic loads may be possible.<br />

The bursty nature of the LAN interconnection<br />

traffic represents high demands<br />

in the dynamics of the WAN services.<br />

Present synchronous leased lines services<br />

offer a constant capacity, which means<br />

that the WAN link must be dimensioned<br />

for the peak bursts in order to give all<br />

traffic a good quality of service. As seen<br />

in Table 5.1, the LAN interconnection is<br />

under-dimensioned with respect to the<br />

peak loads in order to save transmission<br />

costs, resulting in severe delays for the<br />

end users during extreme load situations.<br />

The statistical multiplexing in X.25,<br />

Frame Relay and ATM will, to a certain<br />

extent, support transmission of random<br />

peak loads of short duration from one<br />

customer, provided that the link is not<br />

saturated with traffic from other customers.<br />

The ability to handle extreme peaks<br />

is dependent on the buffer sizes in the<br />

nodes. The traffic control mechanisms<br />

will take action if the network becomes<br />

overloaded. In order to prevent network<br />

congestion, the nodes can dispose of low<br />

priority packets/frames/cells or the network<br />

can refuse to accept any more incoming<br />

packets until the overload situation<br />

is relieved.<br />

The flexibility requirement for WAN services<br />

is due to the alternating use of the<br />

LAN interconnection. A branch office<br />

with normal traffic load during the working<br />

hours, may transmit larger quantities<br />

of back-up traffic at off peak times, e.g.<br />

at night. In this case it will be feasible to<br />

change the service capacity in both traffic<br />

directions, either on an on-demand<br />

basis or according to a fixed schedule.<br />

This may be taken care of by future network<br />

or service management facilities,<br />

where the user, on-line or via the network<br />

operator, can change the service<br />

attributes according to instantaneous<br />

LAN interconnection demands.<br />

6 Conclusions<br />

The main conclusions from the LAN<br />

interconnection traffic measurements are:<br />

- Branch offices do generally have larger<br />

incoming than outgoing traffic. This<br />

is due to relatively larger responses<br />

than requests from remote servers,<br />

usually situated in the head office.<br />

- Branch offices without local servers<br />

have significantly larger external traffic<br />

than branch offices with servers on<br />

site. In the latter case, standard office<br />

applications are served locally, while<br />

servers for central applications and<br />

databases are situated in remote head<br />

offices.<br />

- Head offices have larger outgoing than<br />

incoming traffic, which is due to the<br />

central server traffic explained above.<br />

- CAD applications generate considerably<br />

more data traffic per user than standard<br />

office packages.<br />

- IP counts for 60 % of the traffic to and<br />

from the selected LAN sites. The most<br />

used protocols on the application layer<br />

are Novell’s NCP, Telnet over TCP/IP<br />

and IBMs NetBEUI.<br />

- Generally, bulk transfer protocols,<br />

such as FTP and NFS, contains larger<br />

frames than interactive protocols, such<br />

as Telnet and Xwindows.<br />

- The mean external traffic load during<br />

the busiest hour was under 90 % of the<br />

theoretical WAN link capacity for 11<br />

out of 12 LAN sites. One LAN site<br />

generated outgoing traffic equivalent<br />

to 105 % of the WAN link capacity<br />

during the busy hour. The overload has<br />

to be buffered up in the router.<br />

Table 5.2 Traffic load statistics for different time scales, category E<br />

Time Direction Mean Max. Total number 1) 2) Rel. Figure<br />

scale bit/s bit/s of bytes CoV mean ref.<br />

3 days Incoming 164 742 1 947 064 4 914 885 881 1.39 - 5.1<br />

3 days Outgoing 294 571 3 865 168 8 418 091 361 1.74 1.00 5.2<br />

1 day Outgoing 332 631 3 865 168 2 885 985 889 1.71 1.13 5.3<br />

1 hour Outgoing 1 076 560 3 528 670 484 452 053 0.81 3.65 5.4<br />

1) CoV – Coefficient of Variation, the ratio of the standard deviation to the mean. [4]<br />

2) Relative mean – the mean for the time window relative to the 3 day mean.<br />

137

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