...the company is in almost all possible segment and actually ‘dominates’ the smartphone market with its Android offering. There is one segment where the company doesn’t have any presense – smart glass.
Linux Foundation backed Xen Project helps to advance the state of the MirageOS unikernel operating system with a new release that now supports the KVM hypervisor.
The open-source MirageOS unikernel project reached a major milestone on Feb. 23, with the launch of MirageOS 3.0. The basic idea behind a unikernel is that it is a highly-optimized and purpose-built operating system that can help to enable efficient operation and delivery of applications.
The MirageOS 1.0 release debuted back in December 2013 as an effort led by the Linux Foundation's Xen hypervisor virtualization project. With the new MirageOS 3.0 release, the unikernel is now expanding beyond the confines of the Xen hypervisor and now also supports the KVM and Bhyve hypervisors as well.
Today the Linux Foundation consolidated the ECOMP and OPEN-O project to form the new Open Network Automation Project (ONAP). ECOMP perhaps has had the shortest life-span of any Linux Foundation project, lasting barely a month. ECOMP only becamean official Linux Foundation project a few short weeks ago, after being donated by AT&T. The Enhanced Control, Orchestration, Management and Policy (ECOMP) is an effort that AT&T has been building for several years to help enable its network transformation for virtualization.
OPEN-O on the other hand was announced a year ago, as the Open Orchestrator effort.
You don't have to be a data scientist to be fascinated by the world of machine learning, but a few travel guides might help you navigate the vast universe that also includes big data, artificial intelligence, and deep learning, along with a large dose of statistics and analytics. ("Deep learning" and "machine learning" are often used interchangeably, so for a quick terminology primer that might help you understand the difference, read Nvidia's blog post, What's the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?)
In this article, I'll look at three of the most popular machine learning libraries for Python.
What is the best language for a budding programmer to get their start with? There are probably as many opinions about which language is best for beginners as there are languages to choose from. And the options change all of the time. When we asked this question two years ago, Python came out on top as the clear winner. But is it still the best choice today?
Croteam being awesome as usual, as promised Serious Sam VR: The First Encounter is now officially on Linux.
Announced today in this update, but they note it will not have the SteamOS icon, since it's all still in Beta. Anyone who owns it, will be able to access the Linux version.
This is the type of game that could easily get me into loving VR. A first person shooter in VR that's well supported and it has multiplayer. That just sounds damn fun.
Today I tried to play Wells [Steam], a new steampunk run and gun action game, but sadly the experience wasn't great.
Container-friendly Alpine Linux may get Java port
Alpine Linux, a security-focused lightweight distribution of the platform, may get its own Java port. Alpine is popular with the Docker container developers, so a Java port could pave the way to making Java containers very small.
A proposal floated this week on an OpenJDK mailing list calls for porting the JDK (Java Development Kit), including the Java Runtime Environment, Java compiler and APIs, to both the distribution and the musl C standard library, which is supported by Alpine Linux. The key focus here is musl; Java has previously been ported to the standard glibc library, which you can install in Alpine, but the standard Alpine release switched two years ago to musl because it’s much faster and more compact
Last week, we started by defining “Open Source” in common terms -- the first step for any organization that wants to realize, and optimize, the advantages of using open source software (OSS) in their products or services. In the next few articles, we will provide more details about each of the ways OSS adds up to a business advantage for organizations that use and contribute to open source. First, we’ll discuss why many organizations use OSS to speed up the delivery of software and hardware solutions.
There are a lot of pieces to the ongoing network transformation going up and down the stack. There's the shift away from proprietary hardware. There's the to need to manage complex network configurations. Add subscriber management and a wide range of other necessary functions. Add customer-facing services. All of those pieces need to fit together, integrate with each other, and interoperate.
This was the topic of my conversation with Heather Kirksey, who heads up the Open Platform for Network Functions Virtualization (OPNFV) project when we caught up at the Open Source Leadership Summit in mid-February. OPNFV is a Linux Foundation Collaborative Project which focuses on the system integration effort needed to tie together the many other open source projects in this space, such as OpenDaylight.
As Heather puts it: "Telecom operators are looking to rethink, reimagine, and transform their networks from things being built on proprietary boxes to dynamic cloud applications with a lot more being in software. [This lets them] provision services more quickly, allocate bandwidth more dynamically, and scale out and scale in more effectively."
One of the common criticisms of open source in general, especially when it comes to open cloud platforms such as OpenStack and ownCloud, is lack of truly top-notch documentation and training resources. The criticism is partly deserved, but there are some free documentation resources that benefit from lots of contributors.
Community documentation and training contributors really can make a difference. In fact, in a recent interview, ClusterHQ’s Mohit Bhatnagar said: “Documentation is a classic example of where crowdsourcing wins. You just can’t beat the enthusiasm of hobbyist developers fixing a set of documentation resources because they are passionate about the topic.”
Among the biggest things to land in the OpenStack Ocata cloud platform release this week is the Cells v2 code, which will help enable more scale and manageability in the core Nova compute project.
Nova is one of the two original projects (along with Swift storage) that helped launch OpenStack in June 2010. The original Nova code, which was written by NASA, enables the management of virtualized server resources.
Coming up in Linux 4.11, Likely Shipping With Fedora 26