Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9844
Title: Dynamic QoS adaptation for mobile middleware
Authors: Chuang, SN
Chan, ATS 
Issue Date: 2008
Source: IEEE transactions on software engineering, 2008, v. 34, no. 6, p. 738-752
Abstract: Computation and networking resources in mobile operating environments are much scarcer and more dynamic than in desktop operating environments. Mobile applications can leverage on the benefits of adaptive computing to optimize the QoS delivery based on contextual situations. Fuzzy control models have been successfully applied to various distributed network QoS management systems. However, existing models are either application-specific or limited to abstract modeling and simple conceptual scenarios which do not take into account overall model scalability. Specifically, the large number of QoS parameters in a mobile operating environment causes an exponential increase in the number of rules correspondingly increases the demand for processing power to infer the rules. Hierarchical fuzzy systems were introduced to reduce the number of rules using hierarchical fuzzy control, in which correlated linguistic variables are hierarchically inferred and grouped into abstract linguistic variables. In this paper, we propose a mobile QoS management framework that uses a hierarchical fuzzy control model to support a highly extensible and structured adaptation paradigm. The proposed framework integrates several levels of QoS abstractions derived from user-perceived requirements.
Keywords: Fuzzy set
Middleware
Mobile applications
Mobile computing support services
Mobile environments
QoS
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on software engineering 
ISSN: 0098-5589
EISSN: 1939-3520
DOI: 10.1109/TSE.2008.44
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

34
Last Week
0
Last month
0
Citations as of Sep 6, 2020

WEB OF SCIENCETM
Citations

16
Last Week
0
Last month
0
Citations as of Sep 17, 2020

Page view(s)

144
Last Week
0
Last month
Citations as of Sep 13, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.