Rate-based congestion/flow control is a promising way to achieve high throughput in high speed packet-switching networks. We consider a rate-based congestion control to aim at obtaining high throughput and fair sharing of the communication resources. In the scheme, each intermediate node informs its congestion status to the source node. Two kinds of control packets are used for this mechanism. One (a choke packet) is to throttle the rate and another (a loosen packet) is to allow increase of the rate. The source node initiates transmission with a low rate and increases the rate slowly to avoid a rapid increase of the packet queueing at an intermediate node. When the source node receives a choke packet, it decreases the rate rapidly to relieve congestion as soon as possible. The source node upon receipt a loosen packet increases the rate slowly again. We develop a queueing model to investigate the parameter settings to provide a good performance via simulation. The increasing and decreasing parameters of the rate control function are first investigated in various load conditions. We next examine the effect of the queue-length threshold value for the indication of congestion at the intermediate node. The numerical results indicate that the threshold value should be small to obtain a good performance. We finally introduce a technique which accurately recognizes congestion and inhibits an acceptable queueing of the packets at intermediate nodes.

The address-based queues are widely used in shared buffer ATM switches to guarantee the order of the cell delivery. In this paper, we propose an address-based queue mechanism to achieve an efficient use of the shared memory under a multicast service. In the switch, both cells and the address queues share the common memory. Each queue length changes flexibly according to the number of the stored cells. Our approach significantly reduces the cell loss probability as compared with the previously proposed approaches.

Rate based control is a promising way to achieve an efficient packet transmission especially in high speed packet switching networks where round trip delay is much larger than packet transmission time. Although inappropriate tuning for the parameters, increasing and decreasing factors, of the rate control function causes the performance degradation, most of the previous works so far have not studied the effect of the parameters on the performance. In this paper, we investigate the effect of the rate control parameters on the throughput under the condition that the packet loss probability is kept below a specific value, say 10-6. For this purpose, we build a queueing model and carry out a transient analysis to examine the dynamic behavior of the queue length at an intermediate node in a high speed network suffering from large propagation delay. Numerical examples exploit the optimal value of the parameters when one or two source-destination pairs transmit packets. We also discuss the effect of the propagation delay on the performance. Our model can be applicable to investigate the performance of various kinds of rate-based congestion control when the relation between the congestion measure and the rate control mechanism is given explicitly.

The scattering problem by metallic gratings has become one of fundamental problems in electromagnetics. In this paper, a thin metallic grating placed in conical mounting is treated as a lossy dielectric grating expressed by complex permittivity and thickness. The solution of the metallic grating by using the matrix eigenvalue calculations is compared with that of the plane grating by using the resistive boundary condition and the spectral Galerkin procedure, and the availability of the resistive boundary condition for thin metallic gratings in conical mounting is investigated. In order to improve the convergence of the solutions of thin metallic gratings, the spatial harmonics of flux densities which are continuous function instead of electromagnetic fields are used.

As an access network to the Internet, CATV/HFC network has been widespread recently. Such a network employs a reservation access method under which reservation and data transmission periods appear by turns. Before data transmission, a station must send a request in a random access manner during the reservation period called a request cluster. If the cluster size is large, the probability of request collision occurrence becomes small. A large cluster size however increases the packet transmission delay. Moreover the throughput decreases since vacant duration of reservation period increases. DOCSIS, a de facto standard for the networks, employs the binary back-off method for request cluster allocation. Since that method normally allocates unnecessary large request cluster, the transmission delay increases under heavy load conditions. In this paper, we propose a request cluster allocation method which dynamically changes the cluster size according to the load conditions. In order to evaluate performance of the proposed method, we build a queuing model and execute computer simulation. Simulation result shows that the proposed method provides smaller delay than the binary back-off method.