2004 Fiscal Year Final Research Report Summary
Admission Control for ATM High-Speed Networks
| Project/Area Number |
15510124
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Nagoya Institute of Technology |
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Principal Investigator |
ADACHI Kouichi Nagoya Institute of Technology, Dept.of Engineering Physics, Electronic and Mechanics, Graduate Schools of Engineering, Professor, 工学研究科, 教授 (20024268)
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| Co-Investigator(Kenkyū-buntansha) |
FENG Wei Nagoya Institute of Technology, Graduate Schools of Engineering, Assistant Professor, 工学研究科, 助教授 (30252307)
KOWADA Masashi Chubu University, College of Business Administration and Information Science, Professor, 経営情報学部, 教授 (80015875)
OHI Fumio Nagoya Institute of Technology, Graduate Schools of Engineering, Professor, 工学研究科, 教授 (60116001)
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| Project Period (FY) |
2003 – 2004
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| Keywords | ATM high-speed networks / Admission Control / Large deviations theory / Multi-queue model / Discrete-time fluid polling system / Wireless mobile network / steady-state distribution |
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| Research Abstract |
ATM(Asynchronous Transfer Mode) high-speed networks accommodate various types of traffic such as digitized voice, movie, encoded video and data, etc. Recently, it has been reported by many researchers that traffics in ATM high-speed networks have many complicated properties-self-similarity and long-terms dependence, etc. Furthermore, as the criterion for evaluating QoS(quality of service) of such ATM networks, the packet loss probabilities due to the buffer overflow are required to control below very small level, e.g., in the order of 10^<-9>. Thus, determining the rare event probability and performing the admission control become very important in order to provide the guarantee of QoS requirements for ATM high-speed networks.
In the present study, we have considered ATM high-speed networks consisting of two-parallel queues, which are generally used in modeling communication systems with two different types of the traffics : real-time traffic(such as voice and video) and non-real-time t
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raffic(such as data). We analyzed the tail behavior of the systems under various arrival processes. Then, we derived the upper and lower bounds of the buffer overflow probabilities using the large deviations techniques, and provided the admission control algorithms. We also carried out the performance analysis for wireless mobile networks by using the finite buffer queueing models with the guard channels. Concretely, we have analyzed the following systems.
(I)(1)the discrete-time polling system with two classes and a single server. The arrival processes are Markov-modulated processes and the service schedule is Bernoulli. (2)the discrete-time polling system with two classes and multiple servers. The arrival processes are general and the service schedule is Markovian. For those two polling systems, we derived the large deviations upper and lower bounds of the packet loss probabilities and presented the admission control algorithm.
(II)For Markovian polling systems, we derived the large deviations upper and lower bounds of the packet loss probabilities, and applied the results to wireless mobile networks.
(III)We modeled wireless mobile networks by using finite buffer queueing models, and derived the steady-state distributions using recursive algorithm approach. Less
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Research Products
(14 results)
