DocumentCode :
2975685
Title :
Dynamic buffer tuning: An ambience-intelligent way for digital ecosystem success
Author :
Wong, Jackei H K ; Wong, Allan K Y ; Lin, Wilfred W K ; Dillon, Tharam S.
Author_Institution :
Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong
fYear :
2008
fDate :
26-29 Feb. 2008
Firstpage :
184
Lastpage :
191
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.
Keywords :
buffer storage; fuzzy control; groupware; medical control systems; medical information systems; mobile computing; ambient intelligence; collaborative distributed node; digital ecosystem; dynamic buffer tuning; end-to-end communication channel; fuzzy logic controller; mobile device; pervasive medical consultation; traditional Chinese medicine; Ambient intelligence; Buffer overflow; Collaboration; Communication channels; Communication system control; Delay; Ecosystems; Fuzzy logic; Medical control systems; System performance; ambience intelligence; digital ecosystem; dynamic buffer tuning; fast system response; mobile Internet; pervasive medical consultation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Ecosystems and Technologies, 2008. DEST 2008. 2nd IEEE International Conference on
Conference_Location :
Phitsanulok
Print_ISBN :
978-1-4244-1489-5
Electronic_ISBN :
978-1-4244-1490-1
Type :
conf
DOI :
10.1109/DEST.2008.4635137
Filename :
4635137
Link To Document :
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