Eagle-Lanner tech blog
The strong demand for artificial intelligence (A.I) and machine learning has contributed to the shift from cloud to edge. There have been claims that computing related to A.I. algorithm should return to the edge, where A.I based devices are deployed. The claims also suggest that device-based edge computing can enable real-time analytics and execute algorithms to keep A.I and machine learning applications on premise better than the cloud.
Read more: AI and Machine Learning Processing Shifted from Cloud to Edge
The rapid adoption of IoT technology and Big Data infrastructure in recent years is driving enterprises to shift their attentions from the centralized computing architecture to a distributed, edge-oriented approach. As more data from more sources is generated from the network edge, there is an increasing number of enterprises to adopt edge computing to reduce the latency arise from the required communication bandwidth between the data source and the central data centers.
Read more: From Cloud to Edge - Edge Servers Play Critical Roles in Optimizing Mobile Edge Computing
Industrial and other mission-critical facilities and processes are increasingly being connected and digitized to provide greater process insights and improve efficiency and safety. But traditional operational technology (OT) infrastructure such as programmable logic controllers (PLCs), remote terminal units (RTUs), and supervisory control and data acquisition (SCADA) systems were not designed to defend against the types of sophisticated hackers and malware attacks that target devices connected to the Internet.
Read more: Protect Industrial IoT Infrastructure with Converged IT/OT Security Gateways
Sven Freudenfeld examines the landscape of network edge virtualization through the lens of Lanner’s open compute platforms for vCPE and mobile edge computing.
Read more: Podcast: Network Edge Virtualization with vCPE and Mobile Edge Computing
Deploying vNF’s in a controlled environment can be simple and without downtime. Moving it towards a Distributed NFV environment in a real deployment scenario can be potentially a challenge on how to manage the actual rollout for vCPE’s and SD-WAN solution. We will look on how this can be addressed.
See the video of how Lanner, Intel, Enea and Ciena talk about how to enable the multi-vendor NFV solutions that will accelerate your time-to-market deployment for new services.
Read more: Lanner’s Seminar on Enabling Multi-vendor NFV Solutions
uCPE (Universal Customer Premises Equipment) is currently considered as the most dynamic use cases of NFV (Network Function Virtualization), largely or partially due to the growth of MSP (Managed Service Provider) and MSSP (Managed Security Service Providers). The growing reliance on MSP and MSSP indicates the enterprise IT has recently shifted its focus from a CAPEX (Capital Expenditure) approach to an OPEX (Operating Expenses) oriented budgeting.