Dynamic buffer tuning: an ambience-intelligent way for digital ecosystem success
dc.contributor.author | Wong, Jackei | |
dc.contributor.author | Wong, Allan | |
dc.contributor.author | Lin, Wilfred | |
dc.contributor.author | Dillon, Tharam S. | |
dc.contributor.editor | Elizabeth Chang | |
dc.contributor.editor | Farookh Hussain | |
dc.date.accessioned | 2017-01-30T11:14:32Z | |
dc.date.available | 2017-01-30T11:14:32Z | |
dc.date.created | 2009-02-04T18:02:20Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Wong, Jackei H.K. and Wong, Allan K. Y. and Lin, Wilfred W. K. and Dillon, Tharam. 2008. Dynamic buffer tuning: an ambience-intelligent way for digital ecosystem success, in Chang, E. and Hussain, F. (ed), Second International Conference on Digital Ecosystems and Technology, Feb 26 2008, pp. 184-191. Phitsanulok, Thailand: Institute of Electrical and Electronics Engineers (IEEE) | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/9732 | |
dc.identifier.doi | 10.1109/DEST.2008.4635137 | |
dc.description.abstract |
Ambient intelligence is an important element for the success of digital ecosystems which usually are made up of many collaborating distributed nodes. The operations of these nodes affect one another as chain reactions. When one node had failed, it could bring down the whole ecosystem. Dynamic buffer tuning is an ambience-intelligent mechanism because it has the ability to sense the ambient changes and then makes necessary proactive changes on the fly to avoid buffer overflow. As a result the end-to-end communication channel is more dependable, leading to shorter response time and happier clients. Therefore, dynamic buffer tuning should be generally beneficial to digital ecosystem system performance. In this paper we demonstrate this point by using the FLC (Fuzzy Logic Controller) dynamic buffer tuner to quicken the pervasive medical consultation response of the TCM (Traditional Chinese Medicine) Pervasive Digital HealthCare System as an example. | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.subject | pervasive medical consultation | |
dc.subject | Digital ecosystem | |
dc.subject | mobile internet | |
dc.subject | fast system response | |
dc.subject | dynamic buffer tuning | |
dc.subject | ambience intelligence | |
dc.title | Dynamic buffer tuning: an ambience-intelligent way for digital ecosystem success | |
dc.type | Conference Paper | |
dcterms.source.startPage | 184 | |
dcterms.source.endPage | 191 | |
dcterms.source.title | Proceedings of the 2nd international conference on digital ecosystems and technologies (DEST 2008) | |
dcterms.source.series | Proceedings of the 2nd international conference on digital ecosystems and technologies (DEST 2008) | |
dcterms.source.isbn | 9781424414895 | |
dcterms.source.conference | 2nd International Conference on Digital Ecosystems and Technology (DEST 2008) | |
dcterms.source.conference-start-date | 26 Feb 2008 | |
dcterms.source.conferencelocation | Phitsanulok, Thailand | |
dcterms.source.place | Thailand | |
curtin.note |
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curtin.department | Centre for Extended Enterprises and Business Intelligence | |
curtin.accessStatus | Open access | |
curtin.faculty | Curtin Business School | |
curtin.faculty | School of Economics and Finance |