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Bibliographic record number: 660831

Journal

Authors: Šilić, Marin; Delač, Goran; Srbljić, Siniša
Title: Prediction of Atomic Web Services Reliability for QoS-aware Recommendation
Source: IEEE Transaction on Services Computing (1939-1374) 8 (2015), 3; 425-438
Paper type: article
Keywords: K-means clustering; Prediction; QoS; Recommendation; Reliability; Web Services
Abstract:
While constructing QoS-aware composite work- flows based on service oriented systems, it is necessary to assess nonfunctional properties of potential service selection candidates. In this paper, we present CLUS, a model for reliability prediction of atomic web services that estimates the reliability for an ongoing service invocation based on the data assembled from previous invocations. With the aim to improve the accuracy of the current state-of- the-art prediction models, we incorporate user–, service– and environment– specific parameters of the invocation context. To reduce the scalability issues present in the state-of- the-art approaches, we aggregate the past invocation data using K-means clustering algorithm. In order to evaluate different quality aspects of our model, we conducted experiments on services deployed in different regions of the Amazon cloud. The evaluation results confirm that our model produces more scalable and accurate predictions when compared to the current state-of- the-art approaches.
Project / theme: 036-0362980-1921
Original language: ENG
Citation databases: Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Category: Znanstveni
Research fields:
Computer science
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6874541
Broj citata:
Altmetric:
DOI: 10.1109/TSC.2014.2346492
URL cjelovitog rada:
Journal in electronic form only:: DA
Google Scholar: Prediction of Atomic Web Services Reliability for QoS-aware Recommendation
Contrib. to CROSBI by: Marin Šilić (marin.silic@fer.hr), 4. Pro. 2013. u 18:35 sati



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