By Victor Kyritsis, Paraskevas V. Lekeas, Dora Souliou, Foto Afrati (auth.), Zoé Lacroix, María Esther Vidal (eds.)
This publication constitutes the completely refereed post-conference court cases of the 3rd overseas Workshop on source Discovery, purple 2010, held in Paris, France, in November 2010. The thirteen revised complete papers - from 24 preliminary submissions - have been conscientiously chosen in the course of a moment around of reviewing and development from the lectures given on the workshop and are offered in prolonged model within the e-book. They care for the next themes: source discovery for composition; bioinformatics source discovery; textual source discovery; and internet provider discovery.
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Extra info for Resource Discovery: Third International Workshop, RED 2010, Paris, France, November 5, 2010, Revised Selected Papers
Example text
On one hand, WS compositions based on transactional properties guarantee a reliable execution, but the composition may be not optimal with respect to the QoS criteria. On the other hand, QoS based optimal WS compositions may not guarantee a reliable execution. Thus, QoS -aware and transactional-aware composition approaches should be integrated. Conventional QoS -aware composition approaches (see for example survey of [5]) do not consider transactional constraints during the composition process, likewise transactional-aware ones (see for example the recent ones [6,7,8]) do not take into account QoS parameters.
Blanco et al. , compensatable or not) properties. QoS parameters describe WSs in terms of their behavior, and are used to rank services and discriminate the ones that will be part of the compositions that will best meet a user quality criteria. However, because of unpredictable conditions of distributed applications, service executions may be affected by failures, dynamic changes and availability of resources [2]. Thus, if functional and QoS requirements are only considered, data produced by the selected services may become inconsistent in presence of failures during execution time.
24] propose the specification of WSs’ functional semantics with an ontology. In this sense, CWSs are represented by a graph which describes the relations among the WSs in terms of input/output attributes and functional semantics. Both attributes and functional semantics, are defined by different ontologies. Users have to provide the desired functionality, along with the input and output attributes. In [25] and [26] the available WSs are classified according to their functionalities, where each set of services with the same functionality is called a community service or meta-service.