Name
Title | ||
|---|---|---|
Normalization Techniques Comparison for QoS-based Web Services Selection by LSP Method |
Abstract | ||
|---|---|---|
Service-oriented architecture (SOA) and Internet services technologies offer advanced solutions for creating distributed business processes and applications. At the same time, services must be available to a growing number of users and satisfy their requirements for both functional and non-functional properties of services. The problem of selecting services based on the quality of services is formulated as a multi-criteria decision-making (MCDM) problem. MCDM methods typically require preliminary normalization of the criteria, which in turn can significantly affect the results of solving a multi-criteria problem. In this paper, the effects of commonly known normalization techniques (Max-Min, Vector, Max and Sum) on the ranking Web services using a method of Logic Scoring of Preference (LSP) are investigated. As a result of the study, the use of the Vector and Sum techniques to normalize the criteria when using the LSP method is proposed. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/IDAACS-SWS50031.2020.9297098 | 2020 IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS) |
Keywords | DocType | ISBN |
normalization,LSP,ranking consistency index,Web service,QoS | Conference | 978-1-7281-9961-0 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ravil Kudermetov | 1 | 0 | 0.34 |
| Olga Polska | 2 | 0 | 0.34 |
| Vadym Shkarupylo | 3 | 0 | 0.34 |
| Natalia Shcherbak | 4 | 0 | 0.34 |