Investigation on FOG Computing for 5G- Enabled Software Defined Multicast Networks

Software-Defined 5G Networks: Challenges, and Technologies

The commoditization of key processing components coupled with virtualization of infrastructure functions will lead to a radical change in the economics of mobile networks. The latter will help network providers (e.g., MNO, MVNO) move from proprietary hardware and software platforms towards open and flexible cellular systems based on general-purpose cloud infrastructures. In this context, 5G sys...

Fog Computing in 5G Networks: An Application Perspective

Fifth generation (5G) cellular network promises to offer to its users submillisecond latency and 1 gigabit per second transmission speed. However, the current cloud based computation and data delivery model do not allow these quality of service (QoS) guarantees to be efficiently harnessed, due to the number of hops of wired networks between the 5G base stations and the cloud, that leads to a si...

Software-Defined Fog Network Architecture for IoT

Rapid increase in number and diversity of Internet-connected devices raises many challenges for the traditional network architecture, which is not designed to support a high level of scalability, real-time data delivery and mobility. To address these issues, in this paper we present a new model of Internet of Things architecture which combines benefits of two emerging technologies: software-def...

Real-Time Prototyping of 5G Software- Defined Networks: Part 3

Multi-Tree Multicast Traffic Engineering for Software-Defined Networks

Although Software-Defined Networking (SDN) enables flexible network resource allocations for traffic engineering, current literature mostly focuses on unicast communications. Compared to traffic engineering for multiple unicast flows, multicast traffic engineering for multiple trees is very challenging not only because minimizing the bandwidth consumption of a single multicast tree by solving t...