Dynamic buffer tuning: an ambience-intelligent way for digital ecosystem success

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)

Source Title

Proceedings of the 2nd international conference on digital ecosystems and technologies (DEST 2008)

Source Conference

2nd International Conference on Digital Ecosystems and Technology (DEST 2008)

DOI

10.1109/DEST.2008.4635137

ISBN

9781424414895

Faculty

Curtin Business School

School of Economics and Finance

School

Centre for Extended Enterprises and Business Intelligence

Remarks

Copyright © 2008. IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/9732

Collection

Curtin Research Publications

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.