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In this paper, based on analyzing the two existing queue scheduling algorithms WRR and DWRR, an improved scheduling algorithm, called DWRR+, is presented, which is the resolution for the fairness of bandwidth allocation of the WRR algorithm. The ns-2 simulations show that the improved scheduling algorithm not only offers the service of the minimum guaranteed bandwidth but also implements the fair...
The train scheduling is a crucial part of modern railway operation system. The train schedule optimization problem is exceptionally large-scale and hardly solved via the conventional mathematical method. In this paper, the double-track railway train schedule optimization is concerned. Based on the characteristics of the double-track railway operation system, a novel train schedule optimization model...
We propose a method for solving the crew rescheduling problem (CRP) and the vehicle rescheduling problem (VRP) based on the Lagrangian relaxation method. The CRP/VRP is formulated as an integer programming problem on the basis of a network flow modeling approach from which a Lagrangian relaxation problem is constructed by relaxing the constraint that covers multiple resources. Using two procedures...
A real-time, interactive video distribution system on Internet for large-scale users faces three bottlenecks: real-time performance, interactive performance and bandwidth pressure. This paper, based on the approach to establish a Real-time Peer-to-Peer network (RTP2P) with the minimum video data delay as the primary goal, and establish a hybrid framework of P2P and centralized networks, argues that...
Task scheduling is of great significance to shorten performing time and minimize the cost for computational Grid. A grid task schedule algorithm is presented in this paper, which is based on a constraint satisfaction neural network. The constraint satisfaction means to remove the violations for sequence and resource constraints during scheduling subtasks for grid environment. The data-transferring...
The indoor test bed of the Autonomous Systems Laboratory has been used to create a control system for a small fixed pitch helicopter. This paper outlines the challenges posed by such a vehicle and the control system designed to overcome them. The control system utilized a visual tracking system to obtain state information without onboard hardware. Matlab/Simulink environment was used to facilitate...
Traditional single next-hop routing has been unable to meet the needs of the increasing network applications. Based on multi-hop routing mechanism, this paper proposes a multi-output Switching fabric and dual pointer maximum-weight-first scheduling algorithm. On the basis of distinguish queuing, the algorithm uses dual pointers to schedule the single output and multi-output packets to achieving distributed...
Increasing transmission power is an effective way to improve real-time data delivery in wireless sensor networks. On the other hand, increased power will also incur more interference though it can improve the link quality to increase real-time communication. So there is a tradeoff between interference and delay. In this paper, we consider a joint power control, scheduling and real-time routing problem,...
In order to adapt to the requirements of manufacturing scheduling system in an aerospace enterprise, a new manufacturing scheduling system was put forward according to the actual situation of the aerospace enterprise, which plays a key role in manufacturing enterprises. And a new manufacturing resources organization model-manufacturing resources organization model based virtual manufacturing cell...
Dynamic cluster configuration is dynamically adjusting the servers scale based on the network load in order to achieve optimal service performance under the minimum system power consumption. In previous methods, they adopted adjustment methods based on the specific physical experimental model without the description of mathematical models. This paper presents a prediction-based dynamic clusters configuration...
In this paper, we propose a new joint user scheduling and beamforming scheme based on coordinated beamforming (CBF), as called orthogonal linear coordinated beamforming (OLCBF) for multiuser multiple-input multiple-output (MU-MIMO) systems. With the assumption that a single information stream is transmitted to each user, the base station (BS) may select a subset of users from a large number of users...
The real time online analysis system that works under the network condition needs to synchronize and harmonize data transmit/receive process and the data handler, especially when facing huge capacity data with at a high transmit/receive/handle speed. Combined with practical experience, the paper puts forward a circular data buffer cache technology and a multi-threading message passing mechanism. The...
In order to overcome the convergence deficiency of the basic ACO, an improved ACO based on the direction of the logistics and distribution problem was proposed. The logistics optimization method was used to optimize the path finding in the ACO. The simulation results show that the method of optimization of logistics and distribution path is practical and effective. This study provides a new powerful...
EDF is a classic dynamic embedded real-time multi-task scheduling algorithm. In an embedded soft real-time system, the deadline missing ratio is an important metric to evaluate system performance. When an embedded soft real-time system is overloaded, EDF algorithm is not effective. In addition, considering the unsteadiness and unpredictability of a practical task running environment due to the unsteadiness...
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