Cisco’s Nexus 9516 review: About line rate

Much ink has been spilled on the topic of what constitutes true “line rate,” and in the past we’ve advocated offering traffic at, and only at, 100.00 percent of theoretical line rate to determine if frame loss exists. However, the distinction between 99.99 percent (which we used in these tests) and 100.00 percent load is not all that meaningful, especially at higher Ethernet speeds, for a couple of reasons. First, Ethernet is inherently an asynchronous technology, meaning each device (in this case, the device under test and the test instrument) uses one or more of its own free-running clocks, without synchronization. Thus, throughput measurements may just be artifacts of minor differences in the speeds of clock chips, not descriptions of a system’s fabric capacity.To read this article in full or to leave a comment, please click here

Cisco’s Nexus 9516 review: About line rate

Much ink has been spilled on the topic of what constitutes true “line rate,” and in the past we’ve advocated offering traffic at, and only at, 100.00 percent of theoretical line rate to determine if frame loss exists. However, the distinction between 99.99 percent (which we used in these tests) and 100.00 percent load is not all that meaningful, especially at higher Ethernet speeds, for a couple of reasons. First, Ethernet is inherently an asynchronous technology, meaning each device (in this case, the device under test and the test instrument) uses one or more of its own free-running clocks, without synchronization. Thus, throughput measurements may just be artifacts of minor differences in the speeds of clock chips, not descriptions of a system’s fabric capacity.To read this article in full or to leave a comment, please click here

Managing Deep Learning Development Complexity

For developers, deep learning systems are becoming more interactive and complex. From the building of more malleable datasets that can be iteratively augmented, to more dynamic models, to more continuous learning being built into neural networks, there is a greater need to manage the process from start to finish with lightweight tools.

“New training samples, human insights, and operation experiences can consistently emerge even after deployment. The ability of updating a model and tracking its changes thus becomes necessary,” says a team from Imperial College London that has developed a library to manage the iterations deep learning developers make across …

Managing Deep Learning Development Complexity was written by Nicole Hemsoth at The Next Platform.

Cisco’s Nexus 9516 review: About line rate

Much ink has been spilled on the topic of what constitutes true “line rate,” and in the past we’ve advocated offering traffic at, and only at, 100.00 percent of theoretical line rate to determine if frame loss exists. However, the distinction between 99.99 percent (which we used in these tests) and 100.00 percent load is not all that meaningful, especially at higher Ethernet speeds, for a couple of reasons. First, Ethernet is inherently an asynchronous technology, meaning each device (in this case, the device under test and the test instrument) uses one or more of its own free-running clocks, without synchronization. Thus, throughput measurements may just be artifacts of minor differences in the speeds of clock chips, not descriptions of a system’s fabric capacity.To read this article in full or to leave a comment, please click here

Cisco Nexus 9516 review: How we did it

The device under test for this project was the Cisco Nexus 9516 data center core switch/router, a 16-slot chassis equipped with 1,024 50-gigabit Ethernet interfaces and two supervisor modules. Cisco equipped the switch with its N9K-X9732C-EX line cards, each of which offers 32, 64, or 128 ports of 100-, 50-, and 25-gigabit Ethernet capacity.The traffic generator/analyzer was Spirent TestCenter equipped with its 10/25/40/50/100G MX3 modules. The Spirent instrument has a measurement precision of +/- 2.5 nanoseconds.To read this article in full or to leave a comment, please click here

Cisco Nexus 9516 review: How we did it

The device under test for this project was the Cisco Nexus 9516 data center core switch/router, a 16-slot chassis equipped with 1,024 50-gigabit Ethernet interfaces and two supervisor modules. Cisco equipped the switch with its N9K-X9732C-EX line cards, each of which offers 32, 64, or 128 ports of 100-, 50-, and 25-gigabit Ethernet capacity.The traffic generator/analyzer was Spirent TestCenter equipped with its 10/25/40/50/100G MX3 modules. The Spirent instrument has a measurement precision of +/- 2.5 nanoseconds.To read this article in full or to leave a comment, please click here

Cisco Nexus 9516 data center switch aces a grueling high-density stress test

How many ports are enough at the core of the data center? How does 1,024 sound?That’s the configuration we used to assess Cisco Systems’ Nexus 9516 data center core switch. In this exclusive Clear Choice test, we assessed the Cisco data center core switch with more than 1,000 50G Ethernet ports. That makes this by far the largest 50G test, and for that matter the highest-density switch test, Network World has ever published.As its name suggests, the Nexus 9516 accepts up to 16 N9K-X9732C-EX line cards, built around Cisco’s leaf-and-spine engine (LSE) ASICs. These multi-speed chips can run at 100G rates, for up to 512 ports per chassis; 50G rates for up to 1,024 ports; or 25G rates for up to 2,048 ports. We picked the 50G rate, and partnered with test and measurement vendor Spirent Communications to fully load the switch’s control and data planes.To read this article in full or to leave a comment, please click here

Cisco Nexus 9516 data center switch aces a grueling high-density stress test

How many ports are enough at the core of the data center? How does 1,024 sound?That’s the configuration we used to assess Cisco Systems’ Nexus 9516 data center core switch. In this exclusive Clear Choice test, we assessed the Cisco data center core switch with more than 1,000 50G Ethernet ports. That makes this by far the largest 50G test, and for that matter the highest-density switch test, Network World has ever published.As its name suggests, the Nexus 9516 accepts up to 16 N9K-X9732C-EX line cards, built around Cisco’s leaf-and-spine engine (LSE) ASICs. These multi-speed chips can run at 100G rates, for up to 512 ports per chassis; 50G rates for up to 1,024 ports; or 25G rates for up to 2,048 ports. We picked the 50G rate, and partnered with test and measurement vendor Spirent Communications to fully load the switch’s control and data planes.To read this article in full or to leave a comment, please click here

Announcing the first DockerCon Europe 2017 Speakers

Summer is flying by and DockerCon Europe 2017 (October 16-19) will be here before we know it! The DockerCon team is heads down reviewing all of the proposals submitted and we are almost ready to release a full agenda. With that, we are thrilled to share with you the DockerCon Europe 2017 Website including the first confirmed speakers and sessions.

DockerCon Europe

Abby Fuller, AWS

 

DockerCon speakers

Adrian Mouat, Container Solutions

 

DockerCon speakers

Arun Gupta, AWS

 

DockerCon speakers

 

Bret Fisher, Independent Consultant

 

DockerCon speakers

 

Elton Stoneman, Docker

 

DockerCon speakers

 

Nandhini Santhanam, Docker

 

DockerCon speakers

 

Mike Coleman, Docker

  DockerCon speakers

Tycho Andersen, Docker

 

DockerCon speakers

Learn more about DockerCon: 

Announcing the first @DockerCon Europe 2017 speakers cc @arungupta @adrianmouat @abbyfuller
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The post Announcing the first DockerCon Europe 2017 Speakers appeared first on Docker Blog.

Tapping big data to predict the future

Big data visualization tools are great for graphing past data to see patterns and trends, but future trends is a tougher nut to crack, since past performance is often no indicator of future actions. But graph database technology vendor Franz Inc. is doing just that with the latest version of its graph visualization software.Gruff 7.0 adds a new feature called a “time slider” that serves as a kind of time machine for temporal graph analytics. The new feature is intended to allow both novices and graph experts alike to visually build queries and explore connections as they develop over time and uncover hidden relationships within time-based data. To read this article in full or to leave a comment, please click here

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Fresh Thinking on Programmable Storage

The difficult part about storage these days is far less about capability than about adapting to change. Accordingly, the concept of programmable storage is getting more traction.

With such an approach, the internal services and abstractions of the storage stack can be considered as building blocks for higher level services and while this may not be simple to implement, it can work to eliminate duplication of complex, unreliable software that is commonly used as a workaround for storage system deficiencies.

A team from the University of California Santa Cruz has developed a programmable storage platform to counter these issues called …

Fresh Thinking on Programmable Storage was written by Nicole Hemsoth at The Next Platform.

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