Abstract
Video conference, as an application of Internet streaming media, has attracted wide attention from both academic and industrial sectors. However, usersmay encounter many problemsindailyuse, such as poor video quality, playback delay, and lack of adjustable context, whichcausenegative impactson customers’usage experience. Existing end-to-end service quality assurance method mainly analyzes the relationship between the target service quality parameters and the context in a “single” manner. In this paper, we propose a Bayesian network-based service quality assurance method (named as Comprehensively Context-Aware approach, CCA), which combines Bayesian network and fuzzy set theoryand obtainsrandomrelationshipsamongdifferent service quality parameters through contextual awareness. Comprehensive experimentsclearly validate the superiority of CCA against other well-established methods.
Highlights
In recent years, web-based communication service has become a research hotspot (Cheng, 2012, pp.696-705; Chou, 2007)
Experimental results show that the proposed method can effectively reduce the playback delay and increase the throughput
The CCA method proposed in this paper hasbetter real-time performancebut alsogivesbetter adjustment valuesthan the Playback Buffer Aware (PBA) method
Summary
Web-based communication service has become a research hotspot (Cheng, 2012, pp.696705; Chou, 2007). It closely combines the upper application service with the underlying communication platform to effectively support transaction processing under the service-oriented architecture. Service Oriented Communication (SOC) is apromising research direction of service-oriented architecture in the future Due to fact that existing service-oriented architecture are unable to provide effective support for streaming media transmission, users may meet a great many of problems in their actual use, such as low video quality and playdelay(Yan, 2012; Lin, 2010, pp. End-to-end service quality management has proven to be an effective solution in existing research work. Context adjustment method based on network bandwidth awareness aims to maximize the throughput of the upper application, which fails to work when the type of the upper application is Constant Bit Rate (CBR)
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