Towards cloud-aware policy enforcement with universal cloud classification as a service (UCCaaS) in software defined networks

Network services are a critical component of today's networks. They apply critical functions (e.g. security, routing or quality of service) to traffic to enhance the network operators and application consumers experience. Today these services are inserted physically on the data-forwarding plane without providing much flexibility to deal with different traffic types or affiliations. Cloud Computing, however, demands policy enforcement on a per-Provider, per-Service and/or per-Tenant basis. In addition, there is an increasing need for dynamic transparent network chaining independent of the underlying transport infrastructure. We first introduce the concept of Universal Cloud Classification as a Service (UCCaaS). Followed by highlighting how it can be leveraged in conjunction with Network Service Headers (NSH) to address above challenges. UCC provides an addressing scheme to isolate traffic streams on a per-provider, per-service and/or per-tenant basis. To enable bi-directional policy enforcement in network functions we extend the UCC proposal by adding source and destination support. NSH is a way to steer network traffic dynamically across a set of network functions. We demonstrate the feasibility and advantages of our UCCaaS + NSH proposal with an example application, where a service chain defines Access Control Lists and traffic rate limiting on a per-Service and per-Tenant basis. Our proposal opens a door for a wide range of cloud-aware network services and functions

Probabilistic QoS-aware Placement of VNF chains at the Edge

Deploying IoT-enabled Virtual Network Function (VNF) chains to Cloud-Edge infrastructures requires determining a placement for each VNF that satisfies all set deployment requirements as well as a software-defined routing of traffic flows between consecutive functions that meets all set communication requirements. In this article, we present a declarative solution, EdgeUsher, to the problem of how to best place VNF chains to Cloud-Edge infrastructures. EdgeUsher can determine all eligible placements for a set of VNF chains to a Cloud-Edge infrastructure so to satisfy all of their hardware, IoT, security, bandwidth, and latency requirements. It exploits probability distributions to model the dynamic variations in the available Cloud-Edge infrastructure, and to assess output eligible placements against those variations

A reduced reference video quality assessment method for provision as a service over SDN/NFV-enabled networks

139 p.The proliferation of multimedia applications and services has generarted a noteworthy upsurge in network traffic regarding video content and has created the need for trustworthy service quality assessment methods. Currently, predominent position among the technological trends in telecommunication networkds are Network Function Virtualization (NFV), Software Defined Networking (SDN) and 5G mobile networks equipped with small cells. Additionally Video Quality Assessment (VQA) methods are a very useful tool for both content providers and network operators, to understand of how users perceive quality and this study the feasibility of potential services and adapt the network available resources to satisfy the user requirements

A reduced reference video quality assessment method for provision as a service over SDN/NFV-enabled networks

139 p.The proliferation of multimedia applications and services has generarted a noteworthy upsurge in network traffic regarding video content and has created the need for trustworthy service quality assessment methods. Currently, predominent position among the technological trends in telecommunication networkds are Network Function Virtualization (NFV), Software Defined Networking (SDN) and 5G mobile networks equipped with small cells. Additionally Video Quality Assessment (VQA) methods are a very useful tool for both content providers and network operators, to understand of how users perceive quality and this study the feasibility of potential services and adapt the network available resources to satisfy the user requirements