Title
Multi-Dimensional QoS Prediction for Service Recommendations.
Abstract
Advances in mobile Internet technology have enabled the clients of Web services to be able to keep their service sessions alive while they are on the move. Since the services consumed by a mobile client may be different over time due to client location changes, a multi-dimensional spatiotemporal model is necessary for analyzing the service consumption relations. Moreover, competitive Web service recommenders for the mobile clients must be able to predict unknown quality-of-service (QoS) values well by taking into account the target client's service requesting time and location, e.g., performing the prediction via a set of multi-dimensional QoS measures. Most contemporary QoS prediction methods exploit the QoS characteristics for one specific dimension, e.g., time or location, and do not exploit the structural relationships among the multi-dimensional QoS data. This paper proposes an integrated QoS prediction approach which unifies the modeling of multi-dimensional QoS data via multi-linear-algebra based concepts of tensor and enables efficient Web service recommendation for mobile clients via tensor decomposition and reconstruction optimization algorithms. In light of the unavailability of measured multi-dimensional QoS datasets in the public domain, this paper also presents a transformational approach to creating a credible multi-dimensional QoS dataset from a measured taxi usage dataset which contains high dimensional time and space information. Comparative experimental evaluation results show that the proposed QoS prediction approach can result in much better accuracy in recommending Web services than several other representative ones.
Year
DOI
Venue
2019
10.1109/TSC.2016.2584058
IEEE Trans. Services Computing
Keywords
Field
DocType
Quality of service,Tensile stress,Web services,Data models,Optimization,Prediction algorithms,Mobile communication
Data mining,Data modeling,Multi dimensional,Public domain,Computer science,Quality of service,Exploit,Unavailability,Web service,Mobile telephony,Distributed computing
Journal
Volume
Issue
ISSN
12
1
1939-1374
Citations 
PageRank 
References 
10
0.47
0
Authors
5
Name
Order
Citations
PageRank
Shangguang Wang181688.84
You Ma2425.12
Bo Cheng364986.91
Fangchun Yang4108290.49
Rong N. Chang534629.75