Quality driven web services composition

By Liangzhao Zeng, Boualem Benatallah, Marlon Dumas, Jayant R. Kalagnanam, Quan Z. Sheng. The Web Conference, 2003

1,295 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/99d36994ca17357336b5e3e082e1f5c5099b2b70

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Citations in the corpus

Temporal QoS-aware web service recommendation via non-negative tensor factorization (2014, positive): “Zeng et al. [28] employ a ﬁve-dimensional Web Service QoS property model (i.e., execution price, execution duration, reputation, availability, and reliability) for dynamic Web service composition, and then they transfer QoS-aware service selection into an optimization problem [29].”
A survey on web services composition (2005, methodology): “The upper ontology of DAML-S comprises the service profile for describing service advertisements, the process model for describing the actual program that realizes the service, and the service grounding for describing the transport-level messaging information associated with execution of the program”
Constraint driven Web service composition in METEOR-S (2004, methodology): “Highly intertwined with semantics (and considered in this proposal as part of semantic specification) is the issue of Quality of Service (QoS), pursued from academic setting in [9, 10, 30], and in industry setting under the Web Service Policy framework [7].”
QoS-based Discovery and Ranking of Web Services (2007, methodology): “Other approaches focused on using QoS computation and policing for improving the selection of Web services [ 8 ,9], developing a middleware for enhancing Web service composition for monitoring metrics of QoS for Web services [10], using agents based on distributed reputation metric models [11], and ”
Web services composition: A decade's overview (2014, background): “Self-Serv introduces a service quality model to specify non-functional properties of Web services [91].”
Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization (2013, methodology): “Based on the previous investigations of web service QoS [2], [3], [4], the commonly used clientside web service QoS properties include: .”
Combining global optimization with local selection for efficient QoS-aware service composition (2009, methodology): “In our study we consider quantitative non-functional properties of web services, which can be used to describe the quality criteria of a web service [24, 15].”
QoS-aware middleware for Web services composition (2004, background): “The global planning approach on the other hand considers QoS constraints and preferences assigned to a composite service as a whole rather than to individual tasks, and uses integer programming to compute optimal plans for composite service executions.”
Service selection algorithms for Web services with end-to-end QoS constraints (2004, background): “Zeng et al. (2003) gives a quality driven approach to select component services during execution of a composite service.”
Selecting skyline services for QoS-based web service composition (2010, background): “[22, 23] focuses on dynamic and quality-driven select ion of services.”
QoS computation and policing in dynamic web service selection (2004, background): “Currently, most approaches that deal with QoS of web services only address some generic dimensions such as price, execution duration, availability and reliability [12, 6].”