DocumentCode :
1759369
Title :
Network-Aware QoS Prediction for Service Composition Using Geolocation
Author :
Xinyu Wang ; Jianke Zhu ; Yuanhong Shen
Author_Institution :
Coll. of ComputerScience, Zhejiang Univ., Hangzhou, China
Volume :
8
Issue :
4
fYear :
2015
fDate :
July-Aug. 1 2015
Firstpage :
630
Lastpage :
643
Abstract :
QoS-aware web service composition intends to maximize the global QoS of a composite service with local and global QoS constraints while selecting the independent candidate services from different providers. With the increasing number of candidate services emerging from the Internet, the network delays often greatly affect the performance of the composite service, which are usually difficult to be collected beforehand. One remedy is to predict them for the composition. However, there are some new issues in network delay predictions for the composition, including prediction accuracy, on-demand measures to new services and runtime overhead. In this paper, we try to tackle these critical challenges by taking advantage of the geolocations of candidate services. We first describe a network-aware service composition problem. Then, we present a novel geolocation-based NQoS prediction and reprediction approach for service composition. Furthermore, a geolocation-based service selection algorithm is presented to make use of our NQoS prediction approach for the composition. We have conducted extensive experiments on the real-world data set collected from PlanetLab. Comparative experimental results demonstrate that our approach improves the prediction accuracy and predictability of the NQoS and reduces the runtime overheads in predicting the composition.
Keywords :
Web services; quality of service; service-oriented architecture; NQoS prediction approach; PlanetLab; QoS-aware Web service composition; composite service; geolocation; geolocation-based service selection algorithm; network delays; network-aware QoS prediction; network-aware service composition problem; service composition; Accuracy; Bandwidth; Cascading style sheets; Delays; Extraterrestrial measurements; Geology; Quality of service; QoS-aware service composition; geolocation; network; performance prediction; re-selection;
fLanguage :
English
Journal_Title :
Services Computing, IEEE Transactions on
Publisher :
ieee
ISSN :
1939-1374
Type :
jour
DOI :
10.1109/TSC.2014.2320271
Filename :
6805645
Link To Document :
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