Aims and scope

Queueing Systems: Theory and Applications (QUESTA) is a well-established journal focusing on queueing theory. The models considered concern resource sharing in a wide sense, particularly within a network context, with probability theory being the main analytic tool.

QUESTA welcomes papers directly contained in the above scope as well as papers at the interface between queueing and adjacent areas. Specific topics covered by the journal are:

    Probabilistic modelling of queues, and their relation to Markov chains and processes, stationary processes, and point processes.
    Queueing network models inspired by operations management, operations research and engineering. 
    The analysis of networks in which users compete for scarce resources, and the connection with game theory. 
    The analysis of extreme events, and the connection with e.g. the actuarial sciences and risk theory.
    Models in which the network infrastructure is dynamic and randomly evolving, and the connection with stochastic geometry and random graph models.
    Advances in simulation methodology, e.g. in relation to rare event estimation and variance reduction, and the development of queueing-related computational techniques in general. 
    The connection between data and queues, covering the use of data to optimally control queues, the estimation of input parameters from workload observations, machine learning aspects of queueing, etc. 

The prospective areas of application include, but are not restricted to, production, storage and logistics, traffic and transportation systems, and computer and communication systems.

Apart from regular research papers, the journal also solicits short communications, surveys, and papers on future research directions.

Officially cited as: Queueing Syst.