The cloud network has the advantages in efficiently offloading the large-scale Internet traffic, which is considered as a promising architecture to provide the satisfactory multimedia services for mobile users. However, most current studies lack the joint consideration of economic and security of services in hybrid cloud networks. In this paper, a novel multimedia service optimization mechanism is proposed hereby to meet the user's requirements mentioned above while guaranteeing the reliability of service. Firstly, a credible scheme is designed to help the mobile users distinguish the reliable cloud providers. Meanwhile, a blockchain-based content credibility approach is further designed to guarantee the reliability and integrity of video contents. Moreover, a noncooperative Stackelberg game model is presented to maximize the profit of each party. Furthermore, the equilibrium of this game is achieved by the methods of backward induction and gradient descent. Finally, extensive simulations demonstrate that our solution has efficient performance in terms of secure service ratio, utility, service pricing, etc.
The vBNS is a high speed IP over ATM national backbone network. A "reserved bandwidth" service is designed based on the network traffic characteristics as the initial QoS offering for the vBNS user community. This paper outlines the improved configuration in the ATM layer and the required new router mechanisms to support this service. Overview of the vBNSThe very-high-performance Backbone Network Service (vBNS) is sponsored by the National Science Foundation and implemented by MCI as a leading-edge, high-speed network for Research and Education. It was brought up as an OC3 backbone in early 1995 to intercmnect the NSF-supported Supercomputing Centers (SCCs) and Network Access Points. In 1997 it was upgraded to an OC12 backbone and an expanded customer base of approved Research and Education institutions. In addition to the SCCs, approximately 100 universities are in the process of being connected to the vBNS.The basic vBNS service is IP transport. A mesh network of IP routers is built on point-to-point ATM PVCs. OSPF is used for routing within the mesh while BGP is used for peering with vBNS user networks. In addition, all vBNS infrastructure routers and hosts ahng with some ATM connected customers have IP connectivity across an ATM Logical IP Subnetwork (LIS).As shown in Figure 1, the vBNS backbone is comprised of nine terminal nodes geographically distributed across the United States, and four SCC nodes. Each node has at least a Fore ATM switch, an IP router, and a lJNIX host for performance testing.A full mesh of UBIl Permanent Virtual Paths (PVPs) that are statically configured through an underlying ATM network interconnects the terminal nodes. The underlying network running Newbridge switches is MCI's commercial ATM service (called Hyperstream) that supports other customers in addition to the vBNS. Thus, the vBNS' ATM service runs on top of a second ATM service. This has interesting implications for the QoS design that will be discussed later in this paper. I Figure 1. vBNS Topology, 1 Q98 Goals for QoS in the vBNSTo date, contention for bandwidth resources in the vBNS has been rare. The service for all applications normally resembles "controlled load" service as defined by the IETF IP Integrated Services working group. The motivation for providing some QoS on the vBNS and differentiating between applications that need bandwidth reservation and those that can operate with a best-effort service is two-fold: 0 as the NSF "new connections to the Internet" program is implemented, the vBNS user community will grow dramatically and the potential for contention among applications will increase, and in order to advance the state of the art in commercial Internetworking, early experiment and deployment of advanced technology to support multiple service classes is essential. The vBNS backbone traffic characteristics is strongly influenced by the nature of super-computer to supercomputer communication. Typically such traffic flows demand intense data rates and can be highly +
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