eprintid: 116
rev_number: 6
eprint_status: archive
userid: 29
dir: disk0/00/00/01/16
datestamp: 2011-03-01 16:05:39
lastmod: 2011-07-11 14:33:42
status_changed: 2011-03-01 16:05:39
type: book_section
metadata_visibility: show
item_issues_count: 0
creators_name: Bacciu, Davide
creators_name: Buscemi, Maria Grazia
creators_name: Mkrtchyan, Lusine
creators_id: 
creators_id: m.buscemi@imtlucca.it
creators_id: 
title: Adaptive Fuzzy-valued Service Selection
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
keywords: Service Selection, Fuzzy Matchmaking, QoS Monitoring
note: Categories and Subject Descriptors
I.5.1 [PATTERN RECOGNITION]: Models|Fuzzy Set
General Terms:
Design, Measurement, Performance
abstract: Service composition concerns both integration of heterogeneous distributed applications and dynamic selection of services. QoS-aware selection enables a service requester with certain QoS requirements to classify services according to their QoS guarantees. In this paper we present a method that allows for a fuzzy-valued description of QoS parameters. Fuzzy sets are suited to specify both the QoS preferences raised by a service requester such as 'response time must be as lower as possible and cannot be more that 1000ms' and approximate estimates a provider can make on the QoS capabilities of its services like 'availability is roughly between 95% and 99%'. We propose a matchmaking procedure based on a fuzzy-valued similarity measure that, given the specifications of QoS parameters of the requester and the providers, selects the most appropriate service among several functionally-equivalent ones. We also devise a method for dynamical update of service offers by means of runtime monitoring of the actual QoS performance.
date: 2010
date_type: published
publisher: ACM Press
place_of_pub: Sierre, Switzerland
pagerange: 2467-2471
id_number: acmid: 1774598
refereed: TRUE
isbn: 978-1-60558-639-7
book_title: Proceedings of ACM Symposium in Applied Computing (SAC ’10)
editors_name: Y. Shin, Sung
editors_name: Ossowski, Sascha
editors_name: Schumacher, Michael
editors_name: J. Palakal, Mathew
editors_name: Hung, Cheng
official_url: http://dx.doi.org/10.1145/1774088.1774598
funders: Research partially supported by EU FET IST-FP6 16004 Integrated Project Sensoria.
citation:   Bacciu, Davide and Buscemi, Maria Grazia and Mkrtchyan, Lusine  Adaptive Fuzzy-valued Service Selection.   In:  Proceedings of ACM Symposium in Applied Computing (SAC ’10).   ACM Press, Sierre, Switzerland, pp. 2467-2471.  ISBN 978-1-60558-639-7      (2010)