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001			1572-9443
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022			_a1572-9443
024	7		_a10.1007/11134.1572-9443 _2doi
210	1	0	_aQueueing Syst
245	1	0	_aQueueing Systems _h[electronic resource] : _bTheory and Applications / _cedited by Michel Mandjes.
264		1	_aNew York : _bSpringer US : _bImprint: Springer.
300			_bonline resource.
520			_aQueueing 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.
650		0	_aOperations research.
650		0	_aComputer networks .
650		0	_aProbabilities.
650		0	_aBusiness logistics.
650		0	_aSystem theory.
650		0	_aControl theory.
650	1	4	_aOperations Research and Decision Theory.
650	2	4	_aComputer Communication Networks.
650	2	4	_aProbability Theory.
650	2	4	_aSupply Chain Management.
650	2	4	_aSystems Theory, Control.
700	1		_aMandjes, Michel. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
776	0	8	_iPrinted version: _x0257-0130
856	4	0	_uhttps://doi.org/10.1007/11134.1572-9443 _zHybrid
999			_c1056 _d1056