View our infographic on 5G technology overview and use cases.
Providing lower latency up to 10 microseconds is a new challenge for operators to enable new technologies in the market. For this to happen, data center need to complement the higher broadband network. It forms the base digital innovation to happen in future.
Integration of TF with Akraino edge stack enable enhanced features and utilizes remote compute architecture of TF. A solution can orchestrate all types of workloads like PNFs, VNFs and CNF, implement service chaining at edge sites, workload and data transfer security, automating deployment of control functions and workloads, and more.
L8istSh9y Podcast and Calsoft Inc. collaborated and had a discussion on the value of NFV for Telecom and Edge Computing. The guests invited were Pavan Gupta and Kiran Divekar, Software Architects, at Calsoft Inc. the podcast was hosted by Stephen Spector (Senior Director Digital Marketing, EdgeGravity by Ericsson) & Rob Hirschfeld (CEO, RackN).
This blog explains where cloud-native approach in NFV been this year and where it’s headed.
DPDK (Data Plane Development Kit) came along. It said, "from today on wards there is going to be just one agency, itself, following just one rule book, a dpdk library", irrespective of what the requestor's end goal is. All packets, needing network functionality processing (again, it means routing, switching, firewall allow/deny etc),
This post focuses on a case study of evaluation of NFV architecture components i.e. VNFs (virtual network functions) and VIM (virtual infrastructure manager) to deliver best-in-class performance to end users and offer a valid approach to active testing.
This post is about how DevOps methodology is implemented in 5G network slices and service chains for active service assurance and monitoring by vendors like Intel, Netrounds, Rift.io, Arctos labs with the help of ETSI’s Open Source MANO (OSM).
Here's how open source is helping advance network optimization to support emerging technologies. There is a growing demand for efficient networks with low latency and high bandwidth to support innovations such as autonomous cars, connected devices, machine learning, augmented and virtual reality, and real-time analytics.
This article talks about how SDN technology helps in network security and how SDN is evolving to use machine learning based intelligence to perform security operation in a highly automated way. Article throws lights on Intent Based Networking (IBN) which helps scaling and deployment of network resources in an agile manner.