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
The industry group recently launched an initiative to develop telecommunications supply chain...
The companies announced a partnership with to develop 5G mmWave infrastructure for enterprises and...
The event might not be happening, but that doesn't mean we are going to ignore the big trends we...
Cloudflare Access secures internal applications without the hassle, slowness or user headache of a corporate VPN. Access brings the experience we all cherish, of being able to access web sites anywhere, any time from any device, to the sometimes dreary world of corporate applications. Teams can integrate the single sign-on (SSO) option, like Okta or AzureAD, that they’ve chosen to use and in doing so make on-premise or self-managed cloud applications feel like SaaS apps.
However, teams consist of more than just the internal employees that share an identity provider. Organizations work with partners, freelancers, and contractors. Extending access to external users becomes a constant chore for IT and security departments and is a source of security problems.
Cloudflare Access removes that friction by simultaneously integrating with multiple identity providers, including popular services like Gmail or GitHub that do not require corporate subscriptions. External users login with these accounts and still benefit from the same ease-of-use available to internal employees. Meanwhile, administrators avoid the burden in legacy deployments that require onboarding and offboarding new accounts for each project.
We are excited to announce two new integrations that make it even easier for organizations to work securely with third parties. Starting Continue reading