Novel Approach to Improve QoS of a Multiple Server Queue ()
Abstract
The existing models of servers work on the M/G/1 model which is in some ways predictable and offers us an opportunity to compare the various other server queuing models. Mathematical analysis on the M/G/1 model is available in detail. This paper presents some mathematical analysis which aims at reducing the mean service time of a multiple server model. The distribution of the Mean Service Time has been derived using Little’s Law and a C++ simulation code has been provided to enable a test run so that the QoS of a multi-server system can be improved by reducing the Mean Service Time.
Share and Cite:
M. B. SAYYAD, A. CHATTERJEE, S. NALBALWAR and K. SUBRAMANIAN, "Novel Approach to Improve QoS of a Multiple Server Queue,"
International Journal of Communications, Network and System Sciences, Vol. 3 No. 1, 2010, pp. 83-86. doi:
10.4236/ijcns.2010.31012.
Conflicts of Interest
The authors declare no conflicts of interest.
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