By Yun Li, Ke-Ping Long, Wei-Liang Zhao, Qian-Bin Chen, Yu-Jun Kuang (auth.), Jordi Dalmau Royo, Go Hasegawa (eds.)
ISBN-10: 3540296417
ISBN-13: 9783540296416
ISBN-10: 3540320903
ISBN-13: 9783540320906
We are extremely joyful to give the court cases of the eighth IFIP/IEEE foreign convention on administration of Multimedia Networks and providers (MMNS 2005). The MMNS 2005 convention was once held in Barcelona, Spain on October 24–26, 2005. As in past years, the convention introduced jointly a global viewers of researchers and scientists from and academia who're discovering and constructing cutting-edge administration platforms, whereas making a public venue for effects dissemination and highbrow collaboration. This 12 months marked a tough bankruptcy within the development of administration platforms for the broader administration learn neighborhood, with the transforming into complexities of the “so-called” multimedia over net, the proliferation of other instant networks (WLL, WiFi and WiMAX) and 3G cellular companies, clever and high-speed networks scalable multimedia companies and the convergence of computing and communications for info, voice and video supply. Contributions from the examine neighborhood met this problem with sixty five paper submissions; 33 high quality papers have been as a result chosen to shape the MMNS 2005 technical software. the varied issues during this year’s application integrated instant networking applied sciences, instant community purposes, caliber of providers, multimedia, internet purposes, overlay community administration, and bandwidth management.
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Additional resources for Management of Multimedia Networks and Services: 8th International Conference on Management of Multimedia Networks and Services, MMNS 2005, Barcelona, Spain, October 24-26, 2005. Proceedings
Example text
1995. es Abstract. We determine the gain that can be achieved by incorporating movement prediction information in the session admission control process in mobile cellular networks. The gain is obtained by evaluating the performance of optimal policies achieved with and without the predictive information, while taking into account possible prediction errors. We evaluate the impact of predicting only incoming handovers, only outgoing or both types together. The prediction agent is able to determine the handover instants both stochastically and deterministically.
We only focus on the uplink since it is generally accepted that it has inferior performance over the downlink. 1 Traffic Classes We consider cellular networks that support both voice and data services. Assumed that there are K(K ≥ 1) different traffic classes with different QoS requirements. Namely, each class specifies their own transmission rate, activity factor, desired SIR requirement, and maximum power limit that can be received at the base station. We assume that traffic from the same service class has the same QoS requirements.
For the design of the OPA we were faced with the same dilemma but in this case we decided not to use more specific information. Defining a holed-disk-shaped neighborhood with outer (inner) radio r (< r) for the outgoing handovers and an exponentially distributed sojourn time in it, would had open the possibility of having terminals that could go in and out of this area, making the cell residence time not exponential. This would had made the models with the IPA and with the OPA not comparable. Besides, providing the optimization process with more specific information of the outgoing handovers does not help to improve the performance either, as observed in Fig.
Management of Multimedia Networks and Services: 8th International Conference on Management of Multimedia Networks and Services, MMNS 2005, Barcelona, Spain, October 24-26, 2005. Proceedings by Yun Li, Ke-Ping Long, Wei-Liang Zhao, Qian-Bin Chen, Yu-Jun Kuang (auth.), Jordi Dalmau Royo, Go Hasegawa (eds.)
by Daniel
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