Abstract | ||
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Due to the unstable network environment and fake quality propagation, the published service quality by service providers is not always trustable. Therefore, it becomes a necessity to evaluate the real quality of a web service, based on the service's historical records. However, for a web service, its multiple historical records often vary in execution context (e.g., execution time, user input, user location, etc.), which brings a great challenge to discriminate and rank all the historical records of an identical web service. Besides, for all the candidate web services, their historical record number (i.e., the times that a service was invoked) may be different, which may also affect the user's final service selection decision. In view of these challenges, we put forward a novel service selection approach CSS_HR (Context-aware Service Selection based on Historical Records). In CSS_HR, we first quantify the weight of each historical record, based on its context similarity with current user's service invocation; and afterwards, we quantify the weight of each candidate web service based on its historical record number; finally, with the derived weights of historical records and weights of candidate services, we evaluate all the candidate services and select a quality-optimal one. Through a set of experiments, we validate the feasibility of our proposal. |
Year | DOI | Venue |
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2015 | 10.1109/CCBD.2015.66 | CCBD |
Keywords | Field | DocType |
service selection, context, historical record, weight | Service design,World Wide Web,Service quality,Computer science,Service provider,Differentiated service,Service level requirement,Service selection,Web service,Service delivery framework | Conference |
ISSN | Citations | PageRank |
2378-3680 | 0 | 0.34 |
References | Authors | |
8 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lianyong Qi | 1 | 560 | 57.12 |
Zhang Xuyun | 2 | 952 | 69.49 |
Yiping Wen | 3 | 25 | 8.59 |
Yuming Zhou | 4 | 326 | 22.11 |