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

Lin, WW; Wong, AK; Dillon, TS

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

Lin, WW Wong, AK Dillon, TS

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Publisher:: IEEE
Publication Type:: Journal Article
Citation:: IEEE Transactions On Systems Man And Cybernetics Part C-Applications And Reviews, 2005, 36 (3), pp. 1 - 15
Issue Date:: 2005-01

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Field	Value	Language
dc.contributor.author	Lin, WW	en_US
dc.contributor.author	Wong, AK	en_US
dc.contributor.author	Dillon, TS	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	IEEE Transactions On Systems Man And Cybernetics Part C-Applications And Reviews, 2005, 36 (3), pp. 1 - 15	en_US
dc.identifier.issn	1094-6977	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.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	IEEE Transactions On Systems Man And Cybernetics Part C-Applications And Reviews	en_US
dc.rights	© 2005 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Application of Soft Computing Techniques to Adaptive User Buffer Overflow Control on the Internet	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	36	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	080606 Global Information Systems	en_US
utslib.for	08 Information And Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	17 Psychology And Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
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
pubs.consider-herdc	true	en_US
pubs.issue	3	en_US
pubs.volume	36	en_US

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/5739