Tom is in charge of solution and operation of data center and networking infrastructure for Tencent. He and his team has been building and operating industry leading infrastructure including massive scale data centers, backbone network, cloud network, which power a variety of Internet services offered by Tencent, such as QQ, Wechat, Online Gaming, Public Cloud,etc. He has spent many years dedicating on technology and solutions on software defined infrastructure, cloud network, automated operation, modular data center to meet growing business challenges. Tom has over 20 years’ experience in Internet and networking industry, holding master degree in communication and electronic systems. He has been with Tencent since 2005 and witnessed fast growth with the Internet company. Prior to Tencent, Tom worked on IT infrastructure for online services in financial companies.
This presentation will include a brief introduction of Tencent while discussing business and operation challenges, SDN/ODL solution in Tencent (DCI, Overlay/NFV for Cloud, Scale Out Firewall) and Tencent view of SDN and best practices.
Santiago Rodriguez is VP of Engineering and Head of Product Development Unit SDN & Policy Control in Ericsson. Santiago has been responsible for the creation of Ericsson’s SDN portfolio of products and solutions, through a strategy to partner with other technology leaders and take a leading role in various open source communities like OpenDaylight, OpenStack, Open vSwitch, OPNFV and fd.io to create an open and standard SDN portfolio. He has a long experience leading big-scale Research and Development of distributed systems for networks, including some of the world leading products in the Evolved Packet Core and the IP Multimedia Subsystem.
The Telecommunications industry is in the midst of transformation with Service Providers looking to gain advantage from convergence of IT and Telecommunications. Software Defined Networking, and more importantly OpenDaylight SDN brings the power of programmability and automation to networks. This presentation will take you on a journey together with Ericsson through our past decision to productize and base our SDN solutions on OpenDaylight, our activities that ensure current open source initiatives such as OpenDaylight, OpenStack and OPNFV power the transformation to Telecom Cloud and our plans for OpenDaylight and PaaS Integration.
Chris Rice is Senior Vice President of Domain 2.0 Architecture and Design, responsible for delivering the architecture and design of AT&T's software-centric network. This transformation uses software-defined networking and network function virtualization to deliver products and services to the customer.
This talk takes a look at the history of SDN control at a major service provider. From the early pioneering and implementation of Intelligent Route Service Control Point (IRSCP) technology to applications on today’s D2 network for SDN control of Layers 0-7. In 2004, we implemented one of the first version of IRSCP at scale in our network. As we deepen and grow that early commitment to SDN, we like OpenDaylight for the breadth of brownfield protocols that are supported, its model driven approach that matches our service abstraction logic, and the ability to add applications on top of the controller base. In our experience, model driven is the best practice to enable the kind of scale and feature velocity required for the layers of the global network.
Dave is Chief Architect at Cisco Systems, responsible for architectural governance, defining strategy, development of new technology and leading use-inspired research. Working via tight partnerships with customers, partners, developers and academia he is also leading co-development and co-innvoation initiatives. He has been the Routing Area Director at the IETF and chair of four Working Groups: IS-IS, HIP, BFD and Softwires and worked with the ITU-T, ONF and several Open Source Consoritum. David was also a Juniper Fellow and Chief Architect working on the operating system and next-generation routing systems. Dave has a small vineyard in the Santa Cruz Mountains and a tomato farm along the St. Croix River in Somerset, Wisconsin.
Discuss the industry importance of an Open Networking Architecture, including how OpenDaylight and other open source projects align and fit into the strategy for enabling up-stack application development and deployment. He will dive into an architectural discussion and overview as well as provide details on what the goals are, how the community can help and how to enable this for multiple solutions cross-industries.
Dave Meyer is Chief Technology Officer and Chief Scientist at Brocade Communications, where he works on future directions for Internet technologies. His current focus is the use machine learning (and in particular deep learning) for networking applications and Named Data Networking, among others. Most recently he served as the chair of the OpenDaylight Technical Steering Committee and Board of Directors.
Applying Recent Advances in Machine Learning to Networking
Global organizations are adopting programmable networks as a means of automating and managing their networks, but we can take this one step further with Machine Learning.
The recent progress of Machine Learning and Deep Learning in particular has been nothing short of spectacular. Machine Learning applications now span a wide variety of application spaces including perceptural tasks such as image search, object and scene recognition and captioning, voice and natural language recognition and generation, self-driving cars and automated assistants such as Siri, as well as various engineering, financial, medical, and scientific applications.
Cutting-edge startups, established technology companies, and universities are increasingly finding new, novel, and exciting ways to apply powerful Machine Learning tools such as neural networks to new and existing problems in many different industries. What hasn't been discussed is how to apply these advances to the network domain. The opportunity is in front of us to achieve significantly greater automation, while reducing the cost of this change to near-zero.
This talk will outline recent advances in Machine Learning with an eye towards network applications including a few "Machine Learning for DevOps" applications which are focused on next generation network automation.