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.
Red Hat team came with an innovative hyperconvergence of OpenStack projects along with Ceph software-defined storage. A solution shows, it is possible to gain better control all edge nodes by reducing control planes and maintain the continuity and sustainability of 5G network along with the performance required by new age applications.
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.
Involvement of leading open infrastructure projects such as OpenStack and OSM as MANO suggest that such solutions are possible using open-source projects with the added benefit of controlling developing infrastructure costs.
Edge computing is the critical architecture for enabling most 5G use cases. However, requirements and expectations from edge node in terms of computing resources is in question, and with the growing number of devices and data it could become cumbersome.
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.
This article talks about how Kubernetes has emerged from container orchestration platform to manage complex workloads in AI and Machine Learning Stacks, Managing containers in NFV architecture and handling hardware GPU resources.
Take any leading tech vendors – they are all indulged around these technology trends Gartner has listed. They are actively optimising or innovating existing solutions, offering new revolutionary products to support digital growth. But I believe that all the innovation will be consumed by the end user at its fullest when there is continuous upward innovation..
Author interviewed the CTO of Edge Intelligence firm Swim.ai, Simon Crosby. A discussion was about what are the basics of Edge computing, how analytics helps in making ecosystems intelligent to respond to events, how storage will get revolutionized, how upcoming 5G network features will have impact on edge intelliegence, etc