Monthly Archives: August 2015

Converged Packet-Optical Software Defined Networking

Date: Tuesday, September 15th, 2015, 6:30 PM
Location: Cadence / Bldg 10, 2655 Seely Ave, San Jose, CA (map)
Speakers: Tom Tofigh, PMTS AT&T and Marc De Leenheer, Scientist and Developer, ON.LAB
Time: 6:30 PM (PT) Networking/Refreshments, 7:00 PM Presentation

Abstract

Service Provider Networks are complex and multi-layer in nature. Today, Provisioning and adding bandwidth requires order of days if not months. Since packet and optical networks are managed independently, each one of them has to be overprovisioned to deal with traffic anomalies and failures. This leads to lack of service agility and is a significant source of capex and opex overhead for the network operator.

This talk provides an overview of multi-layer optimization platform specific to packet-optical SDN (Software-Defined Networking) implementation for Wide Area Networks. Tom & Marc will review multilayer network abstractions performed at ON.LAB, including flexible packet-optical bandwidth sharing and on-demand network applications, such as Bandwidth Calendaring, on demand networks, and traffic engineering options. Tom & Marc will show how a converged SDN Control plane for packet and optical networks can help address many network inefficiencies.

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The Computing Earthquake: Neural Networks, Cognitive Layering and Energy-Driven Compute in Electronic Systems

Date: Chris RowenTuesday, November 17th, 2015, 6:30 PM
Location: Cadence / Bldg 10, 2655 Seely Ave, San Jose, CA (map)
Speaker: Dr. Chris Rowen, Chief Technology Officer, IP Group, Cadence

Time: 6:30 PM (PT) Networking/Refreshments, 7:00 PM Presentation

Abstract

A set of profound changes are clearly underway in computing. New computational models like convolutional neural networks for pattern recognition are replacing programming with training. Responsive systems are evolving new hardware and software layers that shift the most commonly executed functions to low-power subsystems – even while driving richer functionality into less-frequently functions into the cloud.

Distributed applications are not just spread across multiple processors on a chip, or multiple boards in a rack, but distributed across mobile and IoT devices, network gateways and servers sometimes on the opposite side of the globe from the user. These radically distributed systems drive a dramatic readjustment of trade-offs between computing and communication. Taken together, these changes represent a seismic shift in the computing landscape, with a new imperative to closely understand the flow of data, the energy cost of computing and alternatives to conventional software development.

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