Application of Soft Computing Techniques to Adaptive User Buffer Overflow Control on the Internet

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dc.contributor.author Lin, WW
dc.contributor.author Wong, AK
dc.contributor.author Dillon, TS
dc.date.accessioned 2009-12-21T03:52:27Z
dc.date.issued 2005-01
dc.identifier.citation IEEE Transactions On Systems Man And Cybernetics Part C-Applications And Reviews, 2005, 36 (3), pp. 1 - 15
dc.identifier.issn 1094-6977
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/5739
dc.description.abstract Two novel expert dynamic buffer tuners/controllers, namely, the neural network controller (NNC) and the fuzzy logic controller (FLC) are proposed in this paper. They use soft computing techniques to eliminate buffer overflow at the user/server level. As a result they help shorten the end-to-end service roundtrip time (RTT) of the logical Internet transmission control protocol (TCP) channels. The tuners achieve their goal by maintaining the given safety margin /spl Delta/ around the reference point of the {0,/spl Delta/}/sup 2/ objective function. Overflow prevention at the Internet system level, which includes the logical channels and their underlying activities, cannot shorten the service RTT alone. In reality, unpredictable incoming request rates and/or traffic patterns could still cause user-level overflow. The client/server interaction over a logical channel is usually an asymmetric rendezvous, with one server serving many clients. A sudden influx of simultaneous requests from these clients easily inundates the server's buffer, causing overflow. If this occurs only after the system has employed expensive throttling and overflow management resources, the delayed overflow rectification could lead to serious consequences. Therefore, it makes sense to deploy an independent user-level overflow control mechanism to complement the preventative effort by the system. Together they form a unified solution to effectively stifle channel buffer overflow.
dc.publisher IEEE
dc.title Application of Soft Computing Techniques to Adaptive User Buffer Overflow Control on the Internet
dc.type Journal Article
dc.parent IEEE Transactions On Systems Man And Cybernetics Part C-Applications And Reviews
dc.journal.volume 3
dc.journal.volume 36
dc.journal.number 3 en_US
dc.publocation Piscataway, USA en_US
dc.identifier.startpage 1 en_US
dc.identifier.endpage 15 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.for 080606 Global Information Systems
dc.personcode 030567
dc.percentage 70 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.description.keywords Internet buffer storage client-server systems fuzzy control neurocontrollers telecommunication congestion control telecommunication traffic three-term control transport protocols en_US
dc.description.keywords Internet buffer storage client-server systems fuzzy control neurocontrollers telecommunication congestion control telecommunication traffic three-term control transport protocols
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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