The performance of one router will degrade and the network will have congestion because many packets arrive in the router at the same time. A new congestion prevention policy for router, which is based on the M/G/1 re...The performance of one router will degrade and the network will have congestion because many packets arrive in the router at the same time. A new congestion prevention policy for router, which is based on the M/G/1 retrial queue with Bernoulli vacation and generic retrial, vacation, setup and service time, is proposed. In this policy, the packets from other routers find the router busy and the packets will be queued in the orbit in accordance with a first-in-first-out (FIFO) discipline which the router starts to process. Only the packet at the head of the queue is allowed access to the router for processing. The ergodical condition of this model is analyzed and the probability generating functions of content of system are obtained. At last, some performance measures and numerical results are given.展开更多
This paper proposes an improved multi-class dynamic network traffic flow propagation model with a consideration of physical queues. Each link is divided into two areas: Free flow area and queue area. The vehicles of t...This paper proposes an improved multi-class dynamic network traffic flow propagation model with a consideration of physical queues. Each link is divided into two areas: Free flow area and queue area. The vehicles of the same class are assumed to satisfy the first-in-first-out(FIFO) principle on the whole link, and the vehicles of the different classes also follow FIFO in the queue area but not in the free flow area. To characterize this phenomenon by numerical methods, the improved model is directly formulated in discrete time space. Numerical examples are developed to illustrate the unrealistic flows of the existing model and the performance of the improved model. This analysis can more realistically capture the traffic flow propagation, such as interactions between multi-class traffic flows, and the dynamic traffic interactions across multiple links.展开更多
基金China Postdoctoral Science Fund ( No.2005037582)Guangdong Natural ScienceFund (No.05300200)
文摘The performance of one router will degrade and the network will have congestion because many packets arrive in the router at the same time. A new congestion prevention policy for router, which is based on the M/G/1 retrial queue with Bernoulli vacation and generic retrial, vacation, setup and service time, is proposed. In this policy, the packets from other routers find the router busy and the packets will be queued in the orbit in accordance with a first-in-first-out (FIFO) discipline which the router starts to process. Only the packet at the head of the queue is allowed access to the router for processing. The ergodical condition of this model is analyzed and the probability generating functions of content of system are obtained. At last, some performance measures and numerical results are given.
基金jointly supported by the National Natural Science Foundation of China (Grant Nos. 71571150 and 71361006)the Humanities and Social Science Foundation of The Ministry of Education (Grant No. 14YJA630026)the Fundamental Research Funds for the Central Universities (Grant No. 26815WCX03)
文摘This paper proposes an improved multi-class dynamic network traffic flow propagation model with a consideration of physical queues. Each link is divided into two areas: Free flow area and queue area. The vehicles of the same class are assumed to satisfy the first-in-first-out(FIFO) principle on the whole link, and the vehicles of the different classes also follow FIFO in the queue area but not in the free flow area. To characterize this phenomenon by numerical methods, the improved model is directly formulated in discrete time space. Numerical examples are developed to illustrate the unrealistic flows of the existing model and the performance of the improved model. This analysis can more realistically capture the traffic flow propagation, such as interactions between multi-class traffic flows, and the dynamic traffic interactions across multiple links.
