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Arabian Journal for Science and Engineering
Erschienen in: Arabian Journal for Science and Engineering 4/2020

08.11.2019 | Research Article - Computer Engineering and Computer Science

A Service Context-Aware QoS Prediction and Recommendation of Cloud Infrastructure Services

verfasst von: Rajganesh Nagarajan, Ramkumar Thirunavukarasu

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 4/2020

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Abstract

Service recommendation is an active research area in cloud computing since mapping of right services as per the desired requirements of user is a challenging task. With the rapid development of cloud services, the recommendation techniques are facing the problem in predicting the better QoS values because of neglecting the contextual information of cloud services. The paper proposes a service context-aware-based cloud broker that extracts the service details by considering the contextual information of cloud services and computes service similarities on the basis of QoS values. Further, it tackles the cold start problem by adopting the matrix factorization principle and predicts better QoS values for newly arrived services. To validate our approach, we have conducted experimental works on benchmark datasets and the result shows that the proposed approach outperforms better results than the model-based approaches. In particular, our proposed system produces improved response time for the dataset of sparse nature.
Vorheriger Artikel EX-MAN Component Model for Component-Based Software Construction
Nächster Artikel Estimation of the Smoothing Parameter in Probabilistic Neural Network Using Evolutionary Algorithms

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Fußnoten
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Metadaten
Titel
A Service Context-Aware QoS Prediction and Recommendation of Cloud Infrastructure Services
verfasst von
Rajganesh Nagarajan
Ramkumar Thirunavukarasu
Publikationsdatum
08.11.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 4/2020
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-019-04218-6

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