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101 0 $aeng
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181   $ctxt
182   $cc
183   $acr
200 10$a2011 International Workshop on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems
210 31$a[Place of publication not identified]$cIEEE$d2011
215   $a1 online resource
300   $aBibliographic Level Mode of Issuance: Monograph
311 08$a9781457706455 
311 08$a1457706458 
330   $aTo 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.
606   $aWeb services$vCongresses
615  0$aWeb services
676   $a006.76
702   $aIEEE Staff
801  0$bPQKB
906   $aPROCEEDING
912   $a9910141205303321
996   $a2011 International Workshop on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems$92532287
997   $aUNINA