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Local Area Networks

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Performance Analysis of Computer Networks

Abstract

When designing a local area network (LAN), establishing performance characteristics of the network before putting it into use is of paramount importance; it gives the designer the freedom and flexibility to adjust various parameters of the network in the planning rather than the operational phase. However, it is hard to predict the performance of the LAN unless a detailed analysis of a similar network is available. Information on a similar network is generally hard to come by so that performance modeling of the LAN must be carried out.

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References

  1. J. R. Freer, Computer Communications and Networks. New York: Plenum Press, 1988, pp. 284, 285.

    Google Scholar 

  2. P. J. Fortier, Handbook of LAN Technology. New York: McGraw-Hill, 1989, chap. 16, pp. 305-312.

    Google Scholar 

  3. J. L. Hammond and P. J. P. O’Reilly, Performance Analysis of Local Computer Networks. Reading, MA: Addison-Wesley, 1986, pp. 225-237.

    Google Scholar 

  4. W. Bux, “Local-area subnetworks: a performance comparison,” IEEE Trans. Comm., vol. COM-29, no. 10, Oct. 1981, pp. 1465-1473.

    Google Scholar 

  5. H. Tagaki, Analysis of Polling Systems. Cambridge: MIT Press, 1986.

    Google Scholar 

  6. M. J. Ferguson and Y. J. Aminetzah, “Exact results for nonsymmetric token ring systems,” IEEE Trans. Comm., vol. COM-33, no. 3, March 1985, pp. 223-231.

    Article  Google Scholar 

  7. K. S. Watson, “Performance evaluation of cyclic service strategies -- a survey,” in E. Gelenbe (ed.), Performance ‘84. Amsterdam: North-Holland, 1984, pp. 521-533.

    Google Scholar 

  8. S. W. Fuhrmann and R. B. Cooper, “Application of decomposition principle in M/G/1 vacation model to two continuum cyclic queueing models -- especially token-ring LANs,” AT & T Technical Journal, vol. 64, no. 5, May-June 1985, pp. 1091-1099.

    Google Scholar 

  9. I. Rubin and L. F. M. de Moraes, “Message delay analysis for polling and token multiple-access schemes for local communication networks,” IEEE Jour. Sel. Area Comm., vol. SAC-1, no. 5, Nov. 1983, pp. 935-947.

    Google Scholar 

  10. A. G. Konheim and M. Reiser, “A queueing model with finite waiting room and blocking,” J. ACM, vol. 23, no. 2, April 1976, pp. 328-341.

    Article  MathSciNet  MATH  Google Scholar 

  11. G. B. Swartz, “Polling in a loop system,” J. ACM, vol. 27, no. 1, Jan. 1980, pp. 42-59.

    Article  MathSciNet  MATH  Google Scholar 

  12. F. -J. Kauffels, Practical LANs Analysed. Chichester: Ellis Horwood, 1989.

    Google Scholar 

  13. S. R. Sachs et al., “Performance analysis of a token-bus protocol and comparison with other LAN protocols,” Proc. 10th Conf. on Local Computer Networks, Oct. 1985, pp. 46-51.

    Google Scholar 

  14. R. Rom and M. Sidi, Multiple Access Protocols: Performance and Analysis. New York: Springer-Verlag, 1990.

    Book  MATH  Google Scholar 

  15. G. E. Keiser, Local Area Networks. New York: McGraw-Hill, 1989.

    Google Scholar 

  16. F. A. Tobagi and V. B. Hunt, Performance analysis of carrier sense multiple access with collision detection, Computer Networks, vol. 4, 1980, pp. 245-259.

    Google Scholar 

  17. S. S. Lam, “A carrier sense multiple access protocol for local networks,” Computer Networks, vol. 4, no. 1, Jan. 1980, pp. 21-32.

    Google Scholar 

  18. J. F. Hayes, Modeling and Analysis of Computer Communications Networks. New York: Plenum Press, 1984, pp. 226–230.

    Book  Google Scholar 

  19. W. Bux, “Performance issues in local-area networks,” IBM Syst. Jour., vol. 23, no. 4, 1984, pp. 351-374.

    Article  Google Scholar 

  20. E. S. Lee and P. I. P. Boulton, “The principles and performance of Hebnet: A 40 Mbits/s glass fiber local area network,” IEEE J. Select. Areas Comm., vol. SAC-1, Nov. 1983, pp. 711-720.

    Google Scholar 

  21. A. E. Kamal, “Star local area networks: a performance study,” IEEE Trans. Comp., vol. C-36, no. 4, April 1987, pp. 484-499.

    Google Scholar 

  22. M. K. Mehmet-Ali et al., “Traffic analysis of a local area network with a star topology,” IEEE Trans. Comm., vol. COM-36, no. 6, June 1988, pp. 703-712.

    Article  Google Scholar 

  23. C. Androne and T. Palade, “Radio coverage and performance analysis for local area networks,” Proc. of 9 th International Symposium on Electronics and Telecommunications, 2010, pp. 213-216

    Google Scholar 

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Authors and Affiliations

Authors

Problems

Problems

  1. 6.1

    Describe briefly the seven layers of the OSI model.

  2. 6.2

    Compare and contrast controlled access and random access protocols.

  3. 6.3

    Explain how token ring works.

  4. 6.4

    In a Cambridge ring with a data rate of 5 Mbps, each slot has 37 bits. If 50 stations are connected to the ring and the average internodal distance is 20 m, how many slots can the ring carry? Assume a propagation speed of 2.5 × 108 m/s and that there is a 1-bit delay at each station.

  5. 6.5

    For a token-passing ring, assume the following parameters:

    No. of stations

    =

    50

    Transmission rate

    =

    1 Mbps

    Mean packet length

    =

    1,000 bits (exponentially distributed)

    Length of the ring

    =

    2 km

    Token length

    =

    24 bits

    Header length

    =

    0 bit

    Bit delay

    =

    1 bit

    Propagation delay

    =

    5 μs/km

    Calculate the mean delay of a message for exhaustive service discipline for ρ = 0.1, 0.2, …, 0.9.

  6. 6.6

    For both constant exponential packet distributions, calculate the mean delay for a token bus LAN with the following parameters:

    No. of stations

    =

    50

    Transmission rate

    =

    5 Mbps

    Mean packet length

    =

    1,000 bits

    Bus length

    =

    1 km

    Token length

    =

    96 bits

    Header length

    =

    0 bit

    Bit latency

    =

    1 bit

    Propagation delay

    =

    5 μs/km

    Try cases for ρ = 0.1, 0.2, …, 0.9 and assume exhaustive service discipline.

  7. 6.7

    Explain how CSMA/CD protocol works.

  8. 6.8

    Repeat problem 6.6 for the CSMA/CD protocol.

  9. 6.9

    (a) Assuming an exhaustive service discipline, calculate the average transfer delay of a token bus with the following parameters.

    No. of stations

    =

    40

    Transmission rate

    =

    1 Mbps

    Mean packet length

    =

    500 bits (exponentially distributed)

    Cable length

    =

    4 km

    Token length

    =

    96 bits

    Header length

    =

    0 bit

    Bit delay

    =

    1 bit

    Propagation delay

    =

    2 μs/km

    Traffic intensity

    =

    0.4

    (b) Repeat part (a) for a CSMA/CD bus LAN.

  10. 6.10

    Rework Problem 6.6 for the case of a constant packet length of 1,000 bits.

  11. 6.11

    Verify Eqs. (6.55) and (6.56).

  12. 6.12

    For the unslotted nonpersistent CSMA/CD, plot the throughput S versus offered local G. Take a = 0.01 and b = 5a.

  13. 6.13

    Repeat 6.12 for slotted nonpersistent CSMA/CD.

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Sadiku, M.N.O., Musa, S.M. (2013). Local Area Networks. In: Performance Analysis of Computer Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-01646-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-01646-7_6

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