QoS-aware middleware for Web services composition

By Liangzhao Zeng, Boualem Benatallah, A. Ngu, Marlon Dumas, Jayant R. Kalagnanam, Henry Chang. IEEE Transactions on Software Engineering, 2004

2,967 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/9ea11c0728473937644be8dda349a34d32f656a1

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Citations in the corpus

Efficient algorithms for Web services selection with end-to-end QoS constraints (2007, methodology): “Compared to the model in [Zeng et al. 2004], our model considers all execution routes and every branch in parallel operations.”
Temporal QoS-aware web service recommendation via non-negative tensor factorization (2014, methodology): “Before clarifying our model, some basic notations and operations for CP model are ﬁrst introduced.”
Collaborative reliability prediction of service-oriented systems (2010, background): “The problem of obtaining the functionally equivalent Web service candidates, which has been discussed by a lot of previous work [24, 33], is out of the scope of this paper.”
Cloud computing service composition: A systematic literature review (2014, methodology): “To reach this goal, a dichotomous simple additive weighting technique (Liangzhao et al., 2004) is used in the first part, from which the scaling of paths is performed by dividing them into negative and positive criteria, and in the second part, the total QoS of all of the paths is calculated.”
Adaptive Service Composition in Flexible Processes (2007, methodology): “First generation solutions implemented local approaches [26], [35], [3], which select Web services one at the time by associating the running abstract activity to the best candidate service which supports its execution.”
A framework for QoS-aware binding and re-binding of composite web services (2008, methodology): “…fB((pai, F (ti))i∈{1...n}) fF (F (ti)i∈{1...p}) fL(k, F (t)) Other then the explicit formulae for some QoS attributes (Cardoso et al. (2004), Zeng et al. (2004)) there may be other attributes — for example, domaindependent attributes — for which the aggregation function is user-specified…”
Distributed QoS Evaluation for Real-World Web Services (2010, background): “In the ﬁeld of service computing [17], a lot of QoS driven approaches have been proposed for Web service selection [8, 4, 5, 15], optimal service composition [2, 3, 5, 16], fault tolerant Web services [7, 19], Web service recommendation [21], Web service reliability prediction [20], and so on.”
Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors (2020, background): “Hence, how to select the most suitable service from a huge set of candidates becomes a hot yet thorny issue [3]–[6].”
Investigating QoS of Real-World Web Services (2014, background): “Local approaches [1], [7] select optimal web service for each abstract task independently, while global approaches [19], [7], [20] select a set of services that satisfy the process constraints and user preferences for the whole application together.”
Untrusted Business Process Monitoring and Execution Using Blockchain (2016, background): “Variousimportant concepts such as conformance [19], reliability [16] and quality of services [24] have been investigated for centrally controlled business process execution.”
QoS Ranking Prediction for Cloud Services (2013, background): “Based on the service QoS measures, various approaches have been proposed for service selection [3], [19], [20], which enables optimal service to be identified from a set of functionally similar or equivalent candidates.”
Deploying and managing Web services: issues, solutions, and directions (2008, methodology): “In [121], a quality model is presented to integrate properties from multiple Web services.”
Blockchains for Business Process Management - Challenges and Opportunities (2017, background): “These can build on existing notions of compliance (van der Aalst et al. 2008), reliability (Subramanian et al. 2008), quality of service (Zeng et al. 2004), or data-aware workflow verification (Calvanese et al. 2013) but will have to go further in terms of consistency and consideration of potential…”
TQoS: Transactional and QoS-Aware Selection Algorithm for Automatic Web Service Composition (2010, background): “The conventional QoSaware composition approaches [3], [4], [5], [6], [7] do not consider the transactional constraints during the composition process, likewise transactional-aware ones [8], [9], [10], [11], [12] do not consider QoS.”