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Download PDF by Andrzej Kwiecien, Piotr Gaj, Piotr Stera: Computer networks 16th conference; proceedings CN <16. 2009.

By Andrzej Kwiecien, Piotr Gaj, Piotr Stera

ISBN-10: 3642026702

ISBN-13: 9783642026706

This ebook constitutes the refereed lawsuits of the sixteenth convention on machine Networks, CN 2009, held in Wisla, Poland, in June 2009. The forty revised complete papers offered have been conscientiously reviewed and chosen for inclusion within the e-book. The papers are prepared within the following teams: new applied sciences utilized in desktop networks, rather these concerning nano, molecular and quantum expertise; new commonplace applied sciences on the topic of desktop community constitution; the basics of computing device networks, their structure and programming; articles in regards to the web in its large that means; papers on the topic of information and research of business machine networks; and a gaggle of articles describing common purposes of laptop networks, together with concerns on the topic of the standard of knowledge trade.

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In Fig. 4 the values of the performance index (sold bandwidth for the second case) have been shown. Every client of the Web service will be served on the expected level and the additional, unused bandwidth will be split for clients in FIFO/First Price policy for free. In Vickrey policy some additional bandwidth will be sold. In FIFO/First Price algorithms the sold bandwidth was lower when compared to Vickrey approach. Summarizing the first approach, the Vickrey algorithm could be judged as a very effective because the value of its performance index was higher than in FIFO approach and a little bit worse than for a First Price policy.

The mean value of service time). We will define the state of the system in the following way: X(t) = (nT (t), nB (t), nTB (t)) (1) where nT (t) denotes the quantity of clients served by agents from the group ST together with the number of clients in the queue QT – at the moment t. Similarly, nB (t) denotes the quantity of clients served by agents from the group SB together with the number of clients in the queue QB – at the moment t. Finally, nTB (t) denotes the quantity of clients served by agents from the group STB – at the moment t.

Some more complicated Markovian models for call centers were considered in [3,5,13]. The authors in [11] presented a queuing model with clients of two classes and three (the case with skill based routing – also written SBR – which means that incoming calls are assigned to the most suitable agent and some agents are proficient in serving both clients’ classes) or two (the case without SBR) agents’ classes. The model was solved with analytical methods and with simulation. There was an assumption that the arrival and serving rate is constant in time and only steady states probabilities were investigated.

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Computer networks 16th conference; proceedings CN <16. 2009. Wisła> by Andrzej Kwiecien, Piotr Gaj, Piotr Stera


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