TY - JOUR
T1 - QoS-aware service selection algorithms for pervasive service composition in mobile wireless environments
AU - Yang, Kun
AU - Galis, Alex
AU - Chen, Hsiao Hwa
N1 - Funding Information:
Acknowledgement The work of this paper was partially funded by the UK EPSRC (Engineering and Physical Sciences Research Council) under the Project PANDA (EP/D061881/1), and Taiwan National Science Council grant NSC 97-2219-E-006-004.
PY - 2010/8
Y1 - 2010/8
N2 - The successful application of pervasive services running in mobile wireless networks and devices relies on its ability to provide efficient and cost-effective QoS (Quality of Service) support. This paper proposes a comprehensive QoS model specifically for pervasive services. It considers not only user-perceived factors but also mobile wireless network characteristics. The corresponding formula to calculate each QoS criterion is also devised. In particular, this paper formulates the QoS-aware service selection problem for pervasive service composition and proposes some solutions to the problem, i.e., global-search-based LOSSA (local optimal service selection algorithm) and limited broadcast based LOSSA-k. The evaluation results of the algorithms have shown the effectiveness of the QoS model and the efficiency of the proposed LOSSAs.
AB - The successful application of pervasive services running in mobile wireless networks and devices relies on its ability to provide efficient and cost-effective QoS (Quality of Service) support. This paper proposes a comprehensive QoS model specifically for pervasive services. It considers not only user-perceived factors but also mobile wireless network characteristics. The corresponding formula to calculate each QoS criterion is also devised. In particular, this paper formulates the QoS-aware service selection problem for pervasive service composition and proposes some solutions to the problem, i.e., global-search-based LOSSA (local optimal service selection algorithm) and limited broadcast based LOSSA-k. The evaluation results of the algorithms have shown the effectiveness of the QoS model and the efficiency of the proposed LOSSAs.
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U2 - 10.1007/s11036-009-0189-y
DO - 10.1007/s11036-009-0189-y
M3 - Article
AN - SCOPUS:77956611107
SN - 1383-469X
VL - 15
SP - 488
EP - 501
JO - Mobile Networks and Applications
JF - Mobile Networks and Applications
IS - 4
ER -