The new funding brings Innovium’s total financing to $90 million.
It’s based on the Linux Foundation’s Hyperledger open source effort.
MVNOs could rent the access layer from the operator but deploy their own VNFs.
Let’s look at what’s happening in the area of Internet infrastructure resilience in the IETF and at the upcoming IETF 98 meeting. My focus here is primarily on the routing and forwarding planes and specifically routing security and unwanted traffic of Distributed Denial of Service Attacks (DDoS) attacks. There is interesting and important work underway at the IETF that can help address problems in both areas.
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.