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Queueing theory
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371	Agent-based simulation of a multi-queue emergency services call centre to evaluate resource allocation Bruce G. Lewis1,2 , Ric D. Herbert1 , Peter F. Summons1 , and William J. Chivers1 1 Faculty of Science and Informati Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-16 19:35:29 Probability and statistics Teletraffic Call centre Computer telephony integration Telephony Call management Queueing model Agent-based model Queueing theory Statistics Stochastic processes Markov models
372	The 6th International Conference on Information Technology and Applications (ICITA[removed]Simulating the Call Streams to an Emergency Services Call Centre Bruce G. Lewis, and Ric D. Herbert Add to Reading List Source URL: www.academicinternational.org Language: English - Date: 2009-10-19 13:20:12 Markov models Network performance Scientific modeling Technology Call centre Telephony Queueing theory 000 Emergency Computer simulation Statistics Science Stochastic processes
373	Microsoft Word - Computer Science Engg. Add to Reading List Source URL: nec.edu.in Language: English - Date: 2014-06-12 01:47:52 National Engineering College Computer science Queueing theory Software engineering Business Computer Software quality Algorithm Analysis Statistics Science Computer Science and Engineering
374	There is a standard notation system to classify queueing systems as A/B/C/D/E, where: Add to Reading List Source URL: businessmanagementcourses.org Language: English - Date: 2007-06-08 11:39:00 Poisson processes Markov models Markov processes M/M/1 queue Queueing model Exponential distribution Utilization G–network M/G/1 queue Statistics Stochastic processes Queueing theory
375	UNIT 2 QUEUING THEORY LESSON 21 Learning Objective: • Add to Reading List Source URL: businessmanagementcourses.org Language: English - Date: 2007-06-08 11:38:49 Probability and statistics Markov models Operations research Network performance Queueing model Erlang Queue area Scheduling Service rate Statistics Queueing theory Stochastic processes
376	UNIT 2 QUEUING THEORY LESSON 22 Learning Objective: • Add to Reading List Source URL: businessmanagementcourses.org Language: English - Date: 2007-06-08 11:38:54 Poisson processes Markov models Markov processes Queueing model Poisson distribution Exponential distribution M/M/1 queue Statistics Stochastic processes Queueing theory
377	UNIT 2 QUEUING THEORY LESSON 24 Learning Objective: • Add to Reading List Source URL: businessmanagementcourses.org Language: English - Date: 2007-06-08 11:39:04 Poisson processes Markov models Markov processes M/M/1 queue Queueing model Exponential distribution Poisson distribution M/G/1 queue Statistics Stochastic processes Queueing theory
378	On performance of Gossip communication in a crowd-sensing scenario Marcel C. Guenther and Jeremy T. Bradley Imperial College London, 180 Queen’s Gate, SW7 2RH, London, United Kingdom Add to Reading List Source URL: pubs.doc.ic.ac.uk Language: English - Date: 2014-06-10 08:21:51 Gossip protocol Network architecture 4G LTE Advanced Poisson process Queueing theory Computer network Statistics Markov processes Stochastic processes
379	McErlang– a tool for model checking Erlang programs in Erlang ˚ Fredlund Lars-Ake Facultad de Inform´atica, Universidad Polit´ecnica de Madrid Clara Benac Earle Departamento de Inform´atica, Universidad Carlos III Add to Reading List Source URL: www.erlang.se Language: English - Date: 2006-10-05 09:14:51 Software Ericsson Erlang Model checking Queueing theory Model checkers QuickCheck SPIN model checker Computing Statistics Network performance
380	On performance of Gossip communication in a crowd-sensing scenario Marcel C. Guenther and Jeremy T. Bradley Imperial College London, 180 Queen’s Gate, SW7 2RH, London, United Kingdom Add to Reading List Source URL: dev.pubs.doc.ic.ac.uk Language: English - Date: 2014-06-10 08:21:51 Gossip protocol Network architecture 4G LTE Advanced Poisson process Queueing theory Computer network Statistics Markov processes Stochastic processes

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