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Networking has come a long way in the last few years. We’ve realized that hardware and ASICs aren’t the constant that we could rely on to make decisions in the next three to five years. We’ve thrown in with software and the quick development cycles that allow us to iterate and roll out new features weekly or even daily. But the hardware versus software battle has played out a little differently than we all expected. And the primary casualty of that battle was TRILL.
Transparent Interconnection of Lots of Links (TRILL) was proposed as a solution to the complexity of spanning tree. Radia Perlman realized that her bridging loop solution wouldn’t scale in modern networks. So she worked with the IEEE to solve the problem with TRILL. We also received Shortest Path Bridging (SPB) along the way as an alternative solution to the layer 2 issues with spanning tree. The motive was sound, but the industry has rejected the premise entirely.
Large layer 2 networks have all kinds of issues. ARP traffic, broadcast amplification, and many other numerous issues plague layer 2 when it tries to scale to multiple hundreds or a few thousand nodes. The general rule Continue reading
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This is a guest post from Vlad Mihalcea the author of the High-Performance Java Persistence book, on the notion of performance and scalability in enterprise systems.
An enterprise application needs to store and retrieve as much data and as fast as possible. In application performance management, the two most important metrics are response time and throughput.
The lower the response time, the more responsive an application becomes. Response time is, therefore, the measure of performance. Scaling is about maintaining low response times while increasing system load, so throughput is the measure of scalability.
Over the past few years, IBM has been devoting a great deal of corporate energy into developing Watson, the company’s Jeopardy-beating supercomputing platform. Watson represents a larger focus at IBM that integrates machine learning and data analytics technologies to bring cognitive computing capabilities to its customers.
To find out about how the company perceives its own invention, we asked IBM Fellow Dr. Alessandro Curioni to characterize Watson and how it has evolved into new application domains. Curioni, will be speaking on the subject at the upcoming ISC High Performance conference. He is an IBM Fellow, Vice President Europe and …
IBM Research Lead Charts Scope of Watson AI Effort was written by Nicole Hemsoth at The Next Platform.