RTPD/MACSC: A Novel Approach for Effective Pervasive Information Retrieval

Wu, R; Dillon, TS; Wong, AK

RTPD/MACSC: A Novel Approach for Effective Pervasive Information Retrieval

Wu, R Dillon, TS Wong, AK

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Publisher:: IEEE CS Press
Publication Type:: Conference Proceeding
Citation:: Proceedings of International Conference on Mobile Business (ICMB'05), 2005, pp. 514 - 520
Issue Date:: 2005-01

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Field	Value	Language
dc.contributor.author	Wu, R	en_US
dc.contributor.author	Dillon, TS	en_US
dc.contributor.author	Wong, AK	en_US
dc.contributor.editor	Brookes, W	en_US
dc.contributor.editor	Lawrence, E	en_US
dc.contributor.editor	Steele, R	en_US
dc.contributor.editor	Chang, E	en_US
dc.date	2005-07-11	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	Proceedings of International Conference on Mobile Business (ICMB'05), 2005, pp. 514 - 520	en_US
dc.identifier.isbn	0-7695-2367-6	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2610
dc.description.abstract	We propose the novel RTPD/MACSC dynamic cache size tuning approach to shorten the information retrieval roundtrip time by a SFF (small-form-factor) client in a pervasive computing environment. By itself the MACSC (model for adaptive cache size control) does not compensate for the ill effects due to the Internet traffic. In the proposed approach, however, the MACSC is enhanced with the real-time traffic pattern detection (RTPD) capability. With this support the MACSC tuner strives to maintain the given hit ratio as the minimum and reduces the amount of cyber foraging. In the process the MACSC component self-tunes its core point-estimate (PE) calculation to neutralize any ill effects of the traffic pattern currently detected and identified by the supporting RTPD capability.	en_US
dc.publisher	IEEE CS Press	en_US
dc.relation.ispartof	Proceedings of International Conference on Mobile Business (ICMB'05)	en_US
dc.relation.ispartof	International Conference on Mobile Business	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.title	RTPD/MACSC: A Novel Approach for Effective Pervasive Information Retrieval	en_US
dc.type	Conference Proceeding
utslib.location	Washington, USA	en_US
utslib.location.activity	Sydney, Australia	en_US
utslib.for	0805 Distributed Computing	en_US
dc.location.activity	Sydney, Australia	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.place-of-publication	Washington, USA	en_US
pubs.start-date	2005-07-11	en_US

Abstract:

We propose the novel RTPD/MACSC dynamic cache size tuning approach to shorten the information retrieval roundtrip time by a SFF (small-form-factor) client in a pervasive computing environment. By itself the MACSC (model for adaptive cache size control) does not compensate for the ill effects due to the Internet traffic. In the proposed approach, however, the MACSC is enhanced with the real-time traffic pattern detection (RTPD) capability. With this support the MACSC tuner strives to maintain the given hit ratio as the minimum and reduces the amount of cyber foraging. In the process the MACSC component self-tunes its core point-estimate (PE) calculation to neutralize any ill effects of the traffic pattern currently detected and identified by the supporting RTPD capability.

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http://hdl.handle.net/10453/2610