A Reputation System for Trustworthy QoS Information in Service-Based Systems

Lin, Jun; Jiang, Chunxiang; Hu, Hefei; Cai, Kai-Yuan; Yau, Stephen S.; Huang, Dazhi

doi:10.1109/compsacw.2012.41

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Service Prediction In Sbs1

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“…Compose the services to construct the new SBS. In the past, there were several researches on SBS [7]- [9] focused on how to select most suitable services, and several others focused on improving SBS quality with model design [10]- [13]. Besides, many studies were done on the usage of QoS values for different users [1]- [5], [14].…”

Section: Service Prediction In Sbsmentioning

confidence: 99%

A Referral-Based QoS Prediction Approach for Service- Based Systems

Wang¹,

Chiu²,

Wang³

et al. 2018

JCP

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During development of service-based systems (SBS), the quality of services (QoS) plays an important role at helping select more suitable services. There have been several QoS prediction approaches proposed, however, their prediction accuracy is low when there are few historical records in the application environment. In this paper, we propose a new QoS prediction method based on a virtual platform methodology. The method first constructs a virtual platform based on Gaussian distribution regarding stability and performance of services. With the platform, a referral-based QoS prediction method has been developed to improve prediction accuracy. The experimental results indicate that our method outperforms previous approaches, achieving higher prediction accuracy, especially when there are few historical records available.

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