Edge Computing

Edge computing processes data on infrastructure that is located close to the point of data creation. Mahadev Satyanarayanan recounts how recognition of the potential limitations of centralized, cloud-based processing led to this new approach to computing.

Nature Electronics | January 16, 2019

Microsoft has discussed how it has been developing edge computing over the last decade to create real-time processing and analytics.

WinBuzzer | October 23, 2018

Microsoft created Data Box Edge to ingest and analyze sensor data close to the sensors. It is a standard rack-mounted server chassis design with Xeon dual-processor power with a moderate amount of storage.

Forbes | October 2, 2018

We are going through a technology transformation that is unlocking new scenarios that were simply not possible before. Smart sensors and connected devices are breathing new life into industrial equipment from factories to farms, smart cities to homes, while new devices are increasingly cloud connected by default – whether it’s a car or a refrigerator.

Microsoft Azure Blog | September 24, 2018

Azure Data Box Edge is a physical network appliance, shipped by Microsoft, that helps businesses uses AI-enabled edge capabilities to analyze, process and transform data before uploading it to the cloud.

Channel Partners Online | September 24, 2018

Take a look around your house, office or even the next store you visit, and you’ll start to notice that internet-connected devices are bringing us closer than ever before to a world of ubiquitous computing and ambient intelligence.

Official Microsoft Blog | July 23, 2018

Each year at our Inspire conference, we love hearing from our partners about the cloud solutions they are building, the business momentum they are seeing and the opportunities for growth. We heard early on that IoT’s complexity was impeding…

Microsoft IoT Blog | July 12, 2018

Since we introduced Azure IoT Edge just over a year ago, we have seen many examples of the real-world impact from the factory floor to the farm to run cloud intelligence directly on IoT devices.

Microsoft Azure Blog | June 27, 2018

The world is a computer, filled with an incredible amount of data. By 2020, the average person will generate 1.5GB of data a day, a smart home 50GB and a smart city, a whopping 250 petabytes of data per day.

Official Microsoft Blog | May 7, 2018

Today, we are announcing that we will invest $5 billion in the Internet of Things over the next four years. The reason we are doing this is simple: Our goal is to give every customer the ability to transform their businesses, and the world at large, with connected solutions.

Microsoft IoT Blog | April 4, 2018

Imagine for a moment that, every week, four to five commercial airplanes crashed in America. In reality, a similar number of people die per week in traffic accidents, but, for the most part, those deaths don’t resonate with us in the same way.

Technical.ly | September 6, 2017

What Microsoft is doing in the edge computing/distributed computing space may be a big topic at this week’s Build 2017 developer conference. Here are a few clues as to why.

ZDNet | September 6, 2017

Microsoft Research has made available for download a developer preview of its Windows Phone 7 + Cloud Services Software Development Kit (SDK).The new SDK is related to Project Hawaii, a research initiative which I’ve blogged about before.

ZDNet | January 27, 2011

Oahu isn’t Microsoft’s only Hawaiian-themed code name. Project Hawaii from Microsoft Research, an initiative “investigating how we can use the cloud to enhance how we use mobile devices.”

ZDNet | July 9, 2010

Sure, you know cloud computing. You also know a bit about so-called “private clouds,” which enterprises and government agencies are exploring as an option to combine the power and scale of virtualized cloud architectures with security and control over data. But what do you know of Cloudlets? They may just be a key to the future of mobile computing.

Shepherd’s Pi | December 13, 2009

Resource poverty is a fundamental constraint that severely limits the class of applications that can be run on mobile devices. This constraint is not just a temporary limitation of current technology, but is intrinsic to mobility. In this paper, we put forth a vision of mobile computing that breaks free of this fundamental constraint.

IEEE Pervasive Computing | November 1, 2009