SDxCentral Weekly Wrap for Feb. 21, 2020: The RSA deal includes the upcoming RSA security...
On today’s Heavy Networking, we talk with sponsor Itential about its network automation approach, where you can take what you’re already using (scripts, Ansible, etc.) and incorporate it into a holistic automation strategy. Itential enables automation across physical, virtual, and cloud domains and takes a low-code approach so that your engineers don’t have to become developers. Our guest is Chris Wade, Itential's co-founder and CTO.
The post Heavy Networking 503: Achieve Multi-Domain Network Automation With Itential (Sponsored) appeared first on Packet Pushers.
After introducing FRRouting architecture, Donald Sharp dived deep into configuration and performance optimizations, including asynchronous data plane, next hop groups, and commit-and-rollback.
After introducing FRRouting architecture, Donald Sharp dived deep into configuration and performance optimizations, including asynchronous data plane, next hop groups, and commit-and-rollback.
Extending relational query processing with ML inference, Karanasos, CIDR’10
This paper provides a little more detail on the concrete work that Microsoft is doing to embed machine learning inference inside an RDBMS, as part of their vision for Enterprise Grade Machine Learning. The motivation is not that inference will perform better inside the database, but that the database is the best place to take advantage of enterprise features (transactions, security, auditing, HA, and so on). Given the desire to keep enterprise data within the database, and to treat models as data also, the question is can we do inference in the database with acceptable performance? Raven is the system that Microsoft built to explore this question, and answer it with a resounding yes.
… based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. When it comes to data, database management systems (DBMSs) have been the trusted repositories for the enterprise… We thus propose to store and serve ML models from within the DBMS…
The authors don’t just mean farming inference out to an external process from within the RDBMS, Continue reading
If it wasn’t bad enough that Moore’s Law improvements in the density and cost of transistors is slowing. …
Google Teaches AI To Play The Game Of Chip Design was written by Timothy Prickett Morgan at The Next Platform.
Cisco fused IoT and ML in its Control Center platform; Intel slashed jobs despite a record quarter;...
The partnership was driven by growing network complexity and a desire from enterprises for greater...
We are just 18 days away from The Next AI Platform event on March 10, 2020 at The Glasshouse in San Jose. …
Full Agenda for The Next AI Platform: 2020 Edition was written by Nicole Hemsoth at The Next Platform.
“We’re not going to convince anybody until you see our first market and you can touch it, and...
The moves continue what has been a tumultuous 12 months for the company as it has increased its...
The Cisco IoT Control Center has also grown from managing 20 million IoT devices in 2016, to more...
Today's IPv6 Buzz podcast discusses global IPv6 adoption strategy with Pete Sclafani of 6connect, a global network automation platform for service providers and enterprises. Topics covered include how to overcome fear of change, closing knowledge gaps around IPv6, understanding how IPv6 affects business processes as much as technology processes, and more.
The post IPv6 Buzz 045: Fine-Tuning IPv6 Adoption Strategies For Service Providers And Enterprises appeared first on Packet Pushers.
During Networking Field Day 22 last week, a lot the questions that were directed at the presenters had to do with their automation systems. One term kept coming up that I was embarrassed to admit that I’d never heard of. Closed-loop automation is the end goal for these systems. But what is closed-loop automation? And why is it so important. I decided to do a little research and find out.
To understand closed-loop systems, you have to understand open-loop systems first. Thankfully, those are really simple. Open-loop systems are those where the output isn’t directly affected by the control actions of the system. It’s a system where you’re going to get the output no matter how you control it. The easiest example is a clothes dryer. There are a multitude of settings that you can choose for a clothes dryer, including the timing of the cycle. But no matter what, the dryer will stop at the end of the cycle. There’s no sensor in a basic clothes dryer that senses the moisture level of the clothes and acts accordingly.
Open-loop systems are stable and consistent. Every time you turn on the dryer, it will run until it finishes. Continue reading