A contract-ruled economic model for QoS guarantee in mobile peer-to-peer streaming services

Abstract

In this paper, we provide a comprehensive treatment of QoS guarantee for mobile streaming applications through a contract-ruled approach. We envision a peer-to-peer streaming system as a QoS trading market, where the involved parties, Services Provider (SP), End User (EU) and assisting peers, are all real economic entities that are organized with contractual constraints for achieving a stable and guaranteed QoS output. The QoS trading in the market is classified into two parts, a basic contract that establishes the business agreement between an interested EU and a SP and a subcontract that achieves a desired joint QoS output. The proposed scheme can benefit all parties.

Understanding the Corpus of Mobile Payment Services Research: An Analysis of the Literature Using Co-Citation Analysis and Social Network Analysis

“…Multiple theories of adoption and acceptance were tested to measure intention of consumers and merchants towards mobile payment services implementation. More specifically, intention to use mobile payment services (De Luna et al, 2016;Seol et al, 2016), adoption (Zhou et al, 2010;Al-Jabri and Sohail, 2012), acceptance (Di Pietro et al, 2015), user satisfaction (Yang et al, 2016) and usage intention (Schierz et al 2010;Sripalawat et al, 2011). Factor 2 was dominated by articles related to trust (Zhou, 2013;Shin, 2010), risk (Seol et al, 2016;Slade et al, 2015) and security (Musa et al, 2015;Oliveira et al, 2016) of mobile payment services.…”

“…The key steps of the BulaPay system includes: Build a summary payment in shopping cart; Lodge a payment request to BulaPay; Respond a Topayid and Checkout Token; Make a payment; Notify delivery; Deliver goods and services; Confirm receipt; Transfer payment. Yang and Lou (2016) developed a contracted-ruled framework for deployment and evolution of a comprehensive treatment of quality of service guarantee for practical mobile streaming markets. According to Yang and Lou (2016), the main parties involved in peer-assisted mobile peer-to-peer streaming system are Service Provider, End User and Assisting Peers.…”

A Novel Video Sharing Solution Based on Demand-Aware Resource Caching Optimization in Wireless Mobile Networks

“…The red bars of VDRCO keep the low levels in the low range of mobile speed [0, 5] and (5,10] and have the fast rise in the high range of mobile speed (10,15] and (15,20]. The blue bars of AMCV also have low levels in the range of mobile speed [0, 5], keep the slow rise with the variation of mobile speed from (5,10] and (10,15], and have the distinct increase in (15,20]. The PLR results of VDRCO are less than those of AMCV in the four range of mobile speed.…”

“…The PLR values of VDRCO keep relatively low level from = 200 s to = 280 s and fast decrease from = 280 s to = 400 s, which means that the negative influence caused by the network congestion for VDRCO is low relative to AMCV. Moreover, because VDRCO considers the stability of mobility of system members in subsets (namely, stability of one-hop neighbor relationship), the PLR values of VDRCO keep low increase in the range of mobile speed [0, 5], (5,10] and (10,15].…”

“…The promotion of wireless bandwidth capacity such as WiMAX, 4G, and 5G can accommodate massive network traffic brought by high-definition video application [2], which improves visual experience of users; on the other hand, the various technologies of network access such as MANETs, VANETs, and cellular network enable users to conveniently watch video content via smart terminal [3]. As Figure 1 shows, by leveraging the network virtualization methods, the video systems employ the mobile peer-to-peer (MP2P) technologies to achieve large-scale deployment of video applications and promote video sharing in wireless mobile networks [4][5][6][7][8][9]. The MP2P-based video systems make use of management and scheduling for video resources in overlay networks to promote video sharing performance.…”