2011 International Workshop on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems

To ensure that consumer requests for web services are served successfully and effectively amidst overwhelming options, one must narrow the web service search to only the most qualified, highest-ranked services. However, today, the ranking of services is done only with regards to static attributes or...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser:
IEEE Staff (MitwirkendeR)
Körperschaft:
Institute of Electrical and Electronics Engineers
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
[Place of publication not identified] IEEE 2011
Zusammenfassung:
To ensure that consumer requests for web services are served successfully and effectively amidst overwhelming options, one must narrow the web service search to only the most qualified, highest-ranked services. However, today, the ranking of services is done only with regards to static attributes or with a snapshot of current values, resulting in low quality search results. To improve user experience, one must consider dynamic quality of service measures and address the practical challenges they incur. In this paper, we propose using histograms and an area-to-right-of-threshold function to handle the fluctuation and absence of attributes values effectively. This permits utilizing well-established techniques for selecting web services, such as skyline and top-k. We also discuss algorithmic considerations to efficiently produce dynamic web service discovery results.
Umfang:
1 online resource
Anmerkungen:
Bibliographic Level Mode of Issuance: Monograph
Anmerkungen:
English
ISBN:
9781457706479
1457706474
9781457706462
1457706466
Schlagworte:
Web services > Congresses.
Bezugswerke:
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