Welcome!

SDN Journal Authors: Yeshim Deniz, Elizabeth White, Liz McMillan, Pat Romanski, TJ Randall

News Feed Item

Netronome Highlights Processor Requirements in SDN and NFV Architectures at Global SDN Technology Conference 2014

Netronome, the leading provider of data plane processing solutions for software-defined networks (SDN), announced that they will discuss processor and platform requirements for SDN and network functions virtualization (NFV) at the Global SDN Technology Conference. Netronome experts will be featured in two separate sessions during the two-day conference. Additionally, Netronome will be demonstrating their flow processors, acceleration cards, and software during the event.

Daniel Proch, Netronome’s vice president of product management, will present,Networks in Transformation: SDN and NFV Implications on Processor Requirements,” at the Liaoning Hotel in Beijing, China, on Tuesday, May 20. Proch will discuss how the emergence of hyperscale data centers are prompting businesses to shift from proprietary systems to software-controlled commodity platforms for services and switching and the processing requirements to enable this change.

Zhihua Chen, senior field applications engineer at Netronome, will also lead a discussion on Wednesday, May 21, that will describe a 200 Gbps flow processing implementation for software-defined networking and NFV applications.

“NFV helps carries to deploy new services faster, improve automation and management, and lower operational costs," said Jarrod Siket, senior vice president of marketing at Netronome. "However, not all applications can be adequately supported by general purpose servers. Applications that look deeply in to packets, and those based on high-speed virtual switching, often require specialized NICs that perform network and security offloads."

The conference will feature the latest technologies, including OpenFlow, NFV, OpenDaylight, ACI, NSX, and OpenContrail, and demonstrate enterprise SDN application solutions worldwide. For more information on the conference, please visit http://www.conference.cn/sdnt/2014/en/.

Supporting Resources

Follow Netronome for the latest news and information on Twitter, Facebook and LinkedIn.

About Netronome

Netronome is the leading developer of high-performance networking solutions for cloud, data center, service provider and enterprise communications products. Netronome’s flow processing solutions increase the performance of virtualized servers by offloading compute-intensive workloads such as network virtualization, security, flow classification, content processing, deep packet inspection and dynamic load balancing. Netronome’s products are used by networking OEMs, ODMs worldwide and include FlowProcessors, FlowNICs and FlowKit software. Netronome’s processors are supported by comprehensive tools and a broad ecosystem of premier partners. Netronome’s products are developed in labs in Santa Clara, CA, Boxborough, MA and Pittsburgh, PA. To learn more about Netronome and its products, please visit www.netronome.com.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.