2015 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) 2015
DOI: 10.1109/wiopt.2015.7151062
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Performance analysis and decomposition results for some dynamic priority schemes in 2-class queues

Abstract: Many device to device communication networks can be modelled by multi-class tandem queues. In many applications, it is desired to have different quality of service for various classes. This can be achieved by implementing dynamic priority across classes. Performance analysis is an important aspect in such multi-class tandem queueing models for resource allocation. In this paper, we analyse two important, relatively complex and analytically intractable performance measures, tail probability and switching freque… Show more

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“…This queue model hypothesizes that two classes of data arrive separately in two queues, and the low priority data can jump at the end of the high priority queue. In subsequent years, multi-class tandem queuing models have been devised for resource allocation in communication networks, and the results presented performance analysis of tail probability and switching frequency [20]. The scenario of multiple classes of traffic in ATM networks has also been analyzed, and expressions for the probability generating function of the system contents and call delay were derived in [21].…”
Section: Introductionmentioning
confidence: 99%
“…This queue model hypothesizes that two classes of data arrive separately in two queues, and the low priority data can jump at the end of the high priority queue. In subsequent years, multi-class tandem queuing models have been devised for resource allocation in communication networks, and the results presented performance analysis of tail probability and switching frequency [20]. The scenario of multiple classes of traffic in ATM networks has also been analyzed, and expressions for the probability generating function of the system contents and call delay were derived in [21].…”
Section: Introductionmentioning
confidence: 99%