FatPipe Networks Updates Its SD-WAN Platform
It's eliminated the need for Avaya’s Open Network Adapter.
It's eliminated the need for Avaya’s Open Network Adapter.
The IP suite was always loosely grounded in the end-to-end principle, defined here (a version of this paper is also apparently available here), is quoted in RFC2775 as:
The function in question can completely and correctly be implemented only with the knowledge and help of the application standing at the endpoints of the communication system. Therefore, providing that questioned function as a feature of the communication system itself is not possible. … This principle has important consequences if we require applications to survive partial network failures. An end-to-end protocol design should not rely on the maintenance of state (i.e. information about the state of the end-to-end communication) inside the network.
How are the Internet and (by extension) IP networks in general doing in regards to the end-to-end principle? Perhaps the first notice in IETF drafts is RFC2101, which argues the IPv4 address was originally a locater and an identifier, and that the locater usage has become the primary usage. This is much of the argument around LISP and many other areas of work—but I think 2101 mistates the case a bit. That the original point of an IP address is to locate a topological location in the network is Continue reading
Despite the fact that Google has developed its own custom machine learning chips, the company is well-known as a user of GPUs internally, particularly for its deep learning efforts, in addition to offering GPUs in its cloud.
At last year’s Nvidia GPU Technology Conference, Jeff Dean, Senior Google Fellow offered a vivid description of how the search giant has deployed GPUs for a large number of workloads, many centered around speech recognition and language-oriented research projects as well as various computer vision efforts. What was clear from Dean’s talk—and from watching other deep learning shops with large GPU cluster …
Google Team Refines GPU Powered Neural Machine Translation was written by Nicole Hemsoth at The Next Platform.
ACE combines integrated photonics with SDN.
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The latest issue of the IETF Journal (Volume 12, Issue 3) is now available online: https://www.ietfjournal.org/journal-issues/march-2017/
Our cover article is a manifesto of why Internet-enabled businesses should care about the open standards and open source communities. We present the first two of a series of interviews with IETF leadership, in this case outgoing IETF chair Jari Arkko and his successor Alissa Cooper.
With the CCIE SCv5 blueprint now being live, we’re in the process of updating our Security product line in order to meet the new exam requirements. First of all, the following products will be released:
The Advanced Technologies Class will run live online, starting 1st of May. This course series is now available for preorder here, and the full schedule is shown on the product page. The live course is also open to any All Access Pass subscriber. Given the current blueprint, which includes pretty much all Cisco Security products, most probably this will be the biggest video series we have ever released so far across all CCIE tracks; expect more than 150 hours of CCIE level training. First and most important, we’re going to deep dive into all core technologies:
At the same time we’ll cover all the remaining topics (small but many), including technologies which will be tested mainly in the written exam (like CWS, SMA or Lancope). Oh….of course we’ll also Continue reading