Abstract
Many studies have been conducted to investigate the performance of priority queuing (PQ) systems with constant service capacity. However, due to the time-varying nature of wireless channels in wireless communication networks, the service capacity of queuing systemsmay vary over time. Therefore, it is necessary to investigate the performance of PQ systems in the presence of varying service capacity. In addition, self-similar traffic has been discovered to be a ubiquitous phenomenon in various communication networks, which poses great challenges to performance modelling of scheduling systems due to its fractal-like nature. Therefore, this paper develops a flow-decomposition based approach to performance modelling of PQ systems subject to self-similar traffic and varying service capacity. It specifically proposes an analytical model to investigate queue length distributions of individual traffic flows. The validity and accuracy of the model is demonstrated via extensive simulation experiments.
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Mei Chen received her MS from the School of Electronic and Information Engineering, Lanzhou Jiaotong University in 2004. She is now a PhD candidate majoring in computer application technology of Lanzhou University since 2012. She is also a lecturer in the School of Electronic and Information Engineering, Lanzhou Jiaotong University. Her research interests include artificial intelligence and data mining.
Xiaolong Jin is an associate professor at the Institute of Computing Technology, the Chinese Academy of Sciences. He obtained his PhD in computer science from Hong Kong Baptist University in 2005. His research interests include social computing, performance modelling and evaluation, and multiagent systems. He has published over 85 papers in international journals, including IEEE Trans. Commun., IEEE Trans. Wireless Commun., IEEE Trans. Parallel Distrib. Syst., and conferences, including GLOBECOM, ICC, AINA, and WI. He has co-authored two monographs published by Springer and Tsinghua University Press in 2004 and 2003, respectively.
Yuanzhuo Wang is an associate professor at the Institute of Computing Technology, Chinese Academy of Sciences. His current research interests include network and information security analysis, web behavior analysis, stochastic petri nets, and stochastic game nets. He has published over 90 publications in journals and international conferences. He is a senior member of China Computer Federation, CCF Petri Net Technical Committee, and IEEE Communications and Information Security Technical Committee.
Xueqi Cheng is a professor at the Institute of Computing Technology, Chinese Academy of Sciences (ICT-CAS), and the director of the Research Center of Web Data Science & Engineering (WDSE) in ICT-CAS. His main research interests include network science, web search and data mining, P2P and distributed system, information security. He has published over 100 publications in prestigious journals and international conferences, including New Journal of Physics, Journal of Statistics Mechanics: Theory and Experiment, IEEE Trans. on Information Theory, SIGIR, www, CIKM, WSDM, AAAI, IJCAI and so on. He is currently serving on the editorial board of Journal of Computer Science and Technology, Journal of Computer Research and Development, and Journal of Computer.
Geyong Min is a professor of Computer Science in the Department of Computing at the University of Bradford, United Kingdom. His research interests include next generation Internet, wireless communications, multimedia systems, information security, ubiquitous computing, modelling, and performance engineering. His recent research has been supported by UK EPSRC, Royal Society, Nuffield Foundation, and European FP. He has published over 200 research papers in prestigious international journals, including IEEE Trans. Commu., IEEE Trans. Computers, IEEE Trans. Multimedia, IEEE Network, and IEEE Commu. Lett., and in reputable international conferences, such as ICDCS, GLOBECOM, ICC, and IPDPS. He was the recipient of the Best Paper Awards from IEEE AINA’2007, ICAC’2008, IEEE CSE’2009, and TrustCom’2010.
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Chen, M., Jin, X., Wang, Y. et al. Modelling priority queuing systems with varying service capacity. Front. Comput. Sci. 7, 571–582 (2013). https://doi.org/10.1007/s11704-013-2365-2
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DOI: https://doi.org/10.1007/s11704-013-2365-2