Name
Abstract | ||
|---|---|---|
As part of web services life-cycle, providers frequently face decision about changes without a clear understanding of the impact on their clients. The identification of clients' consumption patterns constitute invaluable information to support more effective decisions. In this paper, we present a framework that supports the discovery of service usage profiles, to bring awareness on the distinct groups of consumers, and their usage characterization in terms of detailed service functionality. The framework encompasses monitoring of clients requests, constituting a general purpose Usage Database, and a process to cluster client applications and derive usage profiles. The paper details the framework and presents experiments. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICWS.2013.25 | Web Services |
Keywords | Field | DocType |
paper detail,clear understanding,consumption pattern,usage database,service usage profile,usage characterization,derive usage profile,clients request,detailed service functionality,web service usage profiles,cluster client application,web services,cloud computing,data mining,database management systems | Service usage,Data mining,World Wide Web,General purpose,Pattern clustering,Computer science,Feature extraction,Cluster analysis,Web service,Database,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-0-7695-5025-1 | 2 | 0.37 |
References | Authors | |
13 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bruno Vollino | 1 | 19 | 1.81 |
| Karin Becker | 2 | 88 | 17.22 |