Paper Info
Title
Towards Optimal and Scalable Non-functional Service Matchmaking Techniques
Abstract
Service-orientation paves the way for the Internet of Services (IoS), where millions of services will be available for building novel applications. As such, the service non-functional aspect should be considered for filtering and selecting among the great number of functionally-equivalent services that will be available for a specific user task. Until now, the state-of-the-art work in non-functional service discovery has exploited constraint solving techniques to optimize the matchmaking time between a non-functional service offer and demand pair. However, as matchmaking time is proportional to the offer number, this work does not scale well so it is not yet appropriate for the IoS. To this end, two alternative techniques are proposed to improve the overall matchmaking time. Both techniques were theoretically and experimentally evaluated. The results show that both techniques optimize the matchmaking time without sacrificing accuracy, while the second technique is quite scalable.
Year
DOI
Venue
2012
10.1109/ICWS.2012.27
ICWS
Keywords
Field
DocType
great number,overall matchmaking time,offer number,service non-functional aspect,matchmaking time,scalable non-functional service matchmaking,non-functional service offer,state-of-the-art work,towards optimal,alternative technique,functionally-equivalent service,non-functional service discovery,accuracy,evaluation,mixed integer programming,semantics,measurement,scalability,vegetation,internet,availability,ontology,service
Data mining,Ontology,Non functional,Computer science,Filter (signal processing),Integer programming,Service discovery,Database,Semantics,Scalability,The Internet
Conference
ISBN
Citations 
PageRank 
978-1-4673-2131-0
3
0.40
References 
Authors
15
2
Name
Order
Citations
PageRank
Kyriakos Kritikos159542.10
Dimitris Plexousakis22586326.38