History Of Networking – The Internet – Dave Farber

Dave Farber was a significant contributor to many early networking technologies that developed into the Internet that we know today. In this History of Networking episode we sit down to talk with Dave about his many contributions to computer networking.
Dave Farber
Guest
Russ White
Host
Donald Sharp
Host

Outro Music:
Danger Storm Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0 License
http://creativecommons.org/licenses/by/3.0/

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Tech Field Day in Barcelona

I was in Barcelona last week, there was a Cisco Live as you might know. During the Cisco Live unfortunately I couldn’t meet with people as I was invited them by Tech Field Day and recorded many great sessions together.   Cisco announced ACI in Cloud and there was presentations about it. If you don’t …

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Sitting in the Linux cockpit

If you haven't tried the relatively new Linux Cockpit, you might be surprised by all it can do. It's a user-friendly web-based console that provides some very easy ways to administer Linux systems — through the web. You can monitor system resources, add or remove accounts, monitor system usage, shut down the system and perform quite a few other tasks — all through a very accessible web connection. It's also very easy to set up and use.While many Linux sysadmins spend most of their time on the command line, access to a remote system using a tool like PuTTY doesn't always provide the most useful command output. Linux Cockpit provides graphs and easy-to-use forms for viewing performance measures and making changes to your systems.To read this article in full, please click here

Sitting in the Linux Cockpit

If you haven't tried the relatively new Linux Cockpit, you might be surprised by all it can do. It's a user-friendly web-based console that provides some very easy ways to administer Linux systems — through the web. You can monitor system resources, add or remove accounts, monitor system usage, shut down the system and perform quite a few other tasks — all through a very accessible web connection. It's also very easy to set up and use.While many Linux sysadmins spend most of their time on the command line, access to a remote system using a tool like PuTTY doesn't always provide the most useful command output. Linux Cockpit provides graphs and easy-to-use forms for viewing performance measures and making changes to your systems.To read this article in full, please click here

Lentiq combines data lakes with edge computing

It’s a common tactic to combine two technologies for synergy sake, but Lentiq really has a unique idea. It is combining the concept of the data lake with edge computing into what it calls “interconnected micro data lakes,” or data pools.“Data pools” are micro-data lakes that function like a data lake while supporting popular apps such as Apache Spark, Apache Kafka, and Streamsets software, or “everything a data scientist or data engineer needs,” according to the company.The data pools exist independently across different clouds, and governance rules are enforced only when the data moves, so each department will have the tools needed for their use cases and access to the data they need.To read this article in full, please click here

Lentiq combines data lakes with edge computing

It’s a common tactic to combine two technologies for synergy sake, but Lentiq really has a unique idea. It is combining the concept of the data lake with edge computing into what it calls “interconnected micro data lakes,” or data pools.“Data pools” are micro-data lakes that function like a data lake while supporting popular apps such as Apache Spark, Apache Kafka, and Streamsets software, or “everything a data scientist or data engineer needs,” according to the company.The data pools exist independently across different clouds, and governance rules are enforced only when the data moves, so each department will have the tools needed for their use cases and access to the data they need.To read this article in full, please click here

Datanauts 158: Creating, Operating, And Collaborating On Open Source

Today's Datanauts examines the successful open source project dbatools to better understand its intent, how the project is operated, and how folks collaborate across a wide spectrum to build something magnificent and open. Our guests are Chrissy LeMaire and Rob Sewell.

The post Datanauts 158: Creating, Operating, And Collaborating On Open Source appeared first on Packet Pushers.

The long, slow death of commercial Unix

In the 1990s and well into the 2000s, if you had mission-critical applications that required zero downtime, resiliency, failover and high performance, but didn’t want a mainframe, Unix was your go-to solution.If your database, ERP, HR, payroll, accounting, and other line-of-business apps weren’t run on a mainframe, chances are they ran on Unix systems from four dominant vendors: Sun Microsystems, HP, IBM and SGI. Each had its own flavor of Unix and its own custom RISC processor. Servers running an x86 chip were at best used for file and print or maybe low-end departmental servers. Learn more about UnixTo read this article in full, please click here

The long, slow death of commercial Unix

In the 1990s and well into the 2000s, if you had mission-critical applications that required zero downtime, resiliency, failover and high performance, but didn’t want a mainframe, Unix was your go-to solution.If your database, ERP, HR, payroll, accounting, and other line-of-business apps weren’t run on a mainframe, chances are they ran on Unix systems from four dominant vendors: Sun Microsystems, HP, IBM and SGI. Each had its own flavor of Unix and its own custom RISC processor. Servers running an x86 chip were at best used for file and print or maybe low-end departmental servers. Learn more about UnixTo read this article in full, please click here

Beyond news contents: the role of social context for fake news detection

Beyond news contents: the role of social context for fake news detection Shu et al., WSDM’19

Today we’re looking at a more general fake news problem: detecting fake news that is being spread on a social network. Forgetting the computer science angle for a minute, it seems intuitive to me that some important factors here might be:

  • what is being said (the content of the news), and perhaps how it is being said (although fake news can be deliberately written to mislead users by mimicking true news)
  • where it was published (the credibility / authority of the source publication). For example, something in the Financial Times is more likely to be true than something in The Onion!
  • who is spreading the news (the credibility of the user accounts retweeting it for example – are they bots??)

Therefore I’m a little surprised to read in the introduction that:

The majority of existing detection algorithms focus on finding clues from the news content, which are generally not effective because fake news is often intentionally written to mislead users by mimicking true news.

(The related work section does however discuss several works that include social context.).

So instead of Continue reading

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