Fighting Pollution Attack in Peer-to-Peer Streaming Systems: A Dynamic Reputation Management Approach

The issue of reputation management in terms of increasing sustainable performance and competitiveness is rapidly developing and undoubtedly is the most important tool in the business area. The study analyzes the reputation of 10 companies with the largest share in the aviation market that were selected on the basis of one of the most widely-used measures of airline size - passenger-kilometer (RPKs) as presented by the International Air Transport Association. The aim is to point out online reputation tools and present ways to improve the performance and competitiveness of analyzed subjects by managing several digital metrics that create this reputation. For this purpose, was applied a modified multi-factor analysis of the overall online reputation sentiment. The research results provide business units with reasonable evidence to proactively implement and invest in reputation management approach because such approach should have a positive impact on their sustainable performance dimensions and further enhance strategic competitiveness.

Download Full-text

Quality of Experience in Mobile Peer-to-Peer Streaming Systems

Streaming Media with Peer-to-Peer Networks ◽

10.4018/978-1-4666-1613-4.ch009 ◽

2012 ◽

pp. 196-241

Author(s):

Florence Agboma

Keyword(s):

Quality Of Experience ◽

Business Models ◽

Prediction Models ◽

Content Delivery ◽

Peer To Peer ◽

Network Resource ◽

Relative Contribution ◽

Qos Parameters ◽

Streaming Systems

This chapter considers the various parameters that affect the user’s Quality-of-Experience (QoE) in mobile peer-to-peer streaming systems, which are a form of content delivery network. Network and content providers do not necessarily focus on users’ QoE when designing the content delivery strategies and business models. The outcome of this is quite often the over-provisioning of network resources and also a lack of knowledge in respect to the user’s satisfaction. The focus is the methodology for quantifying the user’s perception of service quality for mobile video services and user contexts. The statistical technique of discriminant analysis is employed in defining prediction models to map Quality-of-Service (QoS) parameters onto estimates of the user’s QoE ratings. The chapter considers the relative contribution of the QoS parameters to predicting user responses. The chapter also demonstrates the value of the prediction models in developing QoE management strategies in order to optimize network resource utilization. To investigate the versatility of the framework, a feasibility study was applied to a P2P TV system. P2P systems continue to develop and as such, not a lot is known about their QoE characteristics, which situation this chapter seeks to remedy.

Download Full-text