This Research Brief from AvidThink is aimed at providing enterprises and service providers with a view of the challenges in modern networking, and detailed strategies on how to overcome them by laying the right foundation for network automation.
Network Functions Virtualization
Network functions Virtualization (NFV) offers a new way to design, deploy and manage networking services. NFV decouples the network functions, such as network address translation (NAT), firewalling, intrusion detection, domain name service (DNS), caching, etc., from proprietary hardware appliances, so they can run in software.
SDxCentral's experts continually curate a collection of NFV articles, white papers, videos and other resources to make it easier for members to learn about the concept, use cases and technology.
SDxCentral's Network Functions Virtualization Report provides a great reference resource on the key capabilities to look for in NFV components and solutions and what different NFV companies are offering.
It's been more than six years since NFV became a reality but for service providers the transformation is far from over.
European test lab EANTC tested several SD-WAN vendors solutions and compared their scalability and performance.
From Adtran to ZTE, cable and telco vendors alike are beginning to reap the benefits of SDN and virtualization with the development of software-defined access solutions and propositions.
SDN technologies are diverse, making it difficult for network engineers to know what technologies they should learn to master.
Unless the TM Forum spends more time on the cultural challenges, most operators will continue to struggle to make meaningful strides toward the holy grail of becoming bona fide Digital Service Providers.
Newly released SDxCentral 2018 report on the VNF Ecosystem finds SD-WAN and vCPE are top use cases for NFV and the driving force behind service providers virtualizing their networks.
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Carrier virtualization, programmability and the massive data sets from machine learning and analytics are driving new requirements for data centers.
With machine learning, big data, cloud, and NFV initiatives invading the data center, there are implications for data center networking performance.
Virtualizing the data center may make it more efficient and agile but additional processing power may be needed.
As open source NFV technologies mature, the rate of adoption should soar in 2017.
To foster NFV interoperability, many initiatives have launched to help organizations determine what NFV software is compatible.