The Optimization Model of Campus Network Port Resources Based on Queuing Theory - Advanced Research on Computer Education, Simulation and Modeling - page 52

( )

kk + 1/2

ρω
ρω

k

P = ∑

k

( )

k kk + 1/2

(8)

n

k !

k !

k = 0

ω

, it reflects the psychological sensitive degree of users to system
service efficiency, in the time online billing service system, users' demands about
network speed is higher in the psychological, this

For parameters

ω ω

which
according to flow billing system. We can use historical data, using the least-square
method to estimate parameters

is bigger than that

ω

's value and the random error distribution. Finally

ω μ

can according to , to determine the distribution of immediately error .

k

3 Concluion

This queuing theory model give a more accurate description of the campus informa-
tion network service system, based on the system of various operation index calcula-
tion, determines the system scale and reasonably adjust charging scheme. In actual
applications can greatly improve the system efficiency.

References

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4. Huang, L.-s., et al.: The research of random configuration of coverage and connectivityof
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5. Hill, J.L.: System Architecture for Wireless Sensor Networks. UCA, Berkeley