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Prediction of atomic web services reliability based on k-means clustering (CROSBI ID 599651)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Šilić, Marin ; Delač, Goran ; Srbljić Siniša Prediction of atomic web services reliability based on k-means clustering // Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering, ESEC/FSE'13 / Meyer, Bertrand ; Baresi, Luciano ; Mezini, Mira (ur.). New York (NY): The Association for Computing Machinery (ACM), 2013. str. 70-80

Podaci o odgovornosti

Šilić, Marin ; Delač, Goran ; Srbljić Siniša

engleski

Prediction of atomic web services reliability based on k-means clustering

Contemporary web applications are often designed as composite services built by coordinating atomic services with the aim of providing the appropriate functionality. Although functional properties of each atomic service assure correct functionality of the entire application, nonfunctional properties such as availability, reliability, or security might significantly influence the user- perceived quality of the application. In this paper, we present CLUS, a model for reliability prediction of atomic web services that improves state-of-the-art approaches used in modern recommendation systems. CLUS predicts the reliability for the ongoing service invocation using the data collected from previous invocations. We improve the accuracy of the current state-of-the-art prediction models by considering user-, service- and environment- specific parameters of the invocation context. To address the computational performance related to scalability issues, we aggregate the available previous invocation data using K-means clustering algorithm. We evaluated our model by conducting experiments on services deployed in different regions of the Amazon cloud. The evaluation results suggest that our model improves both performance and accuracy of the prediction when compared to the current state-of-the-art models.

Reliability; Prediction model; Clustering; Web services; Cloud computing

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Podaci o prilogu

70-80.

2013.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering, ESEC/FSE'13

Meyer, Bertrand ; Baresi, Luciano ; Mezini, Mira

New York (NY): The Association for Computing Machinery (ACM)

978-1-4503-2237-9

Podaci o skupu

ESEC/FSE'13 Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering

predavanje

18.08.2013-26.08.2013

Sankt Peterburg, Ruska Federacija

Povezanost rada

Računarstvo

Poveznice