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dc.contributor.authorChe, Xianhui
dc.contributor.authorWells, Ian
dc.date.accessioned2016-03-31T13:23:30Z
dc.date.available2016-03-31T13:23:30Z
dc.date.issued2009-12-01
dc.identifier.citationChe , X & Wells , I 2009 , A selective-abstraction modeling approach for simplifying computer network studies . in Procs 2009 Int Conf on Ultra Modern Telecommunications and Workshops . IEEE , 2009 International Conference on Ultra Modern Telecommunications and Workshops , St. Petersburg , Russian Federation , 12/10/09 . https://doi.org/10.1109/ICUMT.2009.5345432
dc.identifier.citationconference
dc.identifier.isbn978-1-4244-3942-3
dc.identifier.isbn978-1-4244-3941-6
dc.identifier.otherPURE: 9914126
dc.identifier.otherPURE UUID: 94b1a129-b4f0-4366-9d60-473030a49efe
dc.identifier.otherScopus: 74549145817
dc.identifier.urihttp://hdl.handle.net/2299/16882
dc.description.abstractModeling and simulation technique is an essential skill on the pathway of learning and researching computer networks. However, the complexity and scale of the network nowadays often challenges the modeling techniques, as high-specification hardware environment is usually required and the simulation can be inevitably time-consuming. The selective abstraction technique leaves out redundant codes and only implements mandatory threads that can have impact on the simulation results. The investigation of this technique is done through a case study of a star-topology local area network which offers collision-free packet switching. Results show that the abstraction approach effectively reduces the length and complication of the source code and also makes the program-debugging process much easier, hence brings users valuable experience in time-saving learning and research throughout computer network study based on modeling and simulations.en
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofProcs 2009 Int Conf on Ultra Modern Telecommunications and Workshops
dc.subjectModeling study
dc.subjectSelective abstraction
dc.subjectSimulation
dc.titleA selective-abstraction modeling approach for simplifying computer network studiesen
dc.contributor.institutionSchool of Computer Science
dc.relation.schoolSchool of Computer Science
dcterms.dateAccepted2009-12-01
rioxxterms.versionofrecordhttps://doi.org/10.1109/ICUMT.2009.5345432
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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