Computers & Industrial Engineering

We propose a battery replacement strategy to increase the efficiency of chargers and save drivers' time at charging stations for plug-in hybrid electric vehicles (PHEVs). With the battery replacement strategy, we optimize the scheduling for the operations of chargers in a charging station. The scheduling objectives are to minimize the power consumption cost and to allow as many PHEVs to be served as possible. In addition, we quantitatively analyze the impact of imperfect data communication on the scheduling performance. Furthermore, we formulate and solve a multistage stochastic programming model to minimize the power supply cost for the benefit of the grid operator. Renewable source generation and utilization of energy storage devices are integrated into the supply optimization problem.

The PHEV Charging Scheduling and Power Supply Optimization for Charging Stations

In order to improve the scalability and reliability of Software Defined Networking (SDN), many studies use multiple controllers to constitute logically centralized control plane to provide load balancing and fail over. In this paper, we develop a fexible dormant multi-controller model based on the centralized multi-controller architecture. The dormant multi-controller model allows part of controllers to enter the dormant state under light traffc condition for saving system cost. Meanwhile, through queueing analysis, various performance measures of the system can be obtained. Moreover, we analyze the real traffic of China Education Network and use the results as the parameters of computer simulation and verify the effects of parameters on the system characteristics. Finally, a total expected cost function is established, and genetic algorithm is employed to find the optimal values of various parameters to minimize system cost for the deployment decision making.

A dormant multi-controller model for software defined networking

Queueing system MAP|PH|N|N+R with impatient heterogeneous customers as a model of call center

We give a brief survey of literature devoted to studying queueing systems with Markovian and batch Markovian arrival processes and their application to modeling telecommunication networks.

Queueing systems with correlated arrival flows and their applications to modeling telecommunication networks

Retrial queuing system with Markovian arrival flow and phase-type service time distribution

Tandem queueing system with infinite and finite intermediate buffers and generalized phase-type service time distribution

Tandem queueing system with impatient customers as a model of call center with Interactive Voice Response

A single-server retrial queue with a MAP flow, PH service times and a pool of finite capacity for accumulation of the customers and their group service is considered. Service to the next group is not provided until the number of customers in the pool will reach a certain predefined threshold value. The service time of a group depends on its size and it is less than the sum of the individual service times. The dependencies of the basic performance measures of the system on the capacity of the pool and the threshold are obtained. Numerical results are presented.

Sergey Dudin

Papers

Queueing system MAP|PH|N|N+R with impatient heterogeneous customers as a model of call center

Retrial queuing system with Markovian arrival flow and phase-type service time distribution

Tandem queueing system with infinite and finite intermediate buffers and generalized phase-type service time distribution

Tandem queueing system with impatient customers as a model of call center with Interactive Voice Response

Analysis of a retrial queue with group service of impatient customers