Wind River Blog Network

A Practical Approach to the Internet of Things

The market opportunities around the Internet of Things (IoT) are substantial for Intel,  McAfee, Wind River, along with their ecosystem and the industry at large. But in a practical sense, how should businesses approach IoT? How can they start optimizing their processes and how do they ensure security? I recently caught up with a couple of experts to find out: Adam Burns, Director of Strategic Planning and Business Development of Intelligent Solutions at Intel, and Santhosh Nair, General Manager, Intelligent Systems Group at Wind River. Check out their great insights below, along with a video of Adam discussing the opportunities and a very cool IoT Infographic from Wind River. Let me know how you’re approaching IoT. – Valerie Scarsellato, aka @Intel_Chick, Marketing Specialist, ISG

Val: So, first things first, how should businesses approach IoT?

Adam Burns: I think the first thing really for businesses to think about is the top business problem they want to solve. What are they going to do to get meaning out of their data and what business problem is it solving for them? Given that, they should ask what systems they need to connect and instrument or what new capabilities to put in place to optimize or even transform their business.

 

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The Future of the RTOS is Driving the Internet of Things

By Bill Graham

Real-time operating systems (RTOS) are having to become increasingly sophisticated – they must satisfy performance demands, offer hard real-time response and handle memory constraints, but increasingly they also need to deliver capabilities demanded by the new, highly connected, security conscious, remotely managed world of machine to machine (M2M) networks and the Internet of Things (IoT).

Intelligent devices and systems make up IoT, and the majority of the billions of these “things” that make up the connected world are embedded systems, many of which are running an RTOS. It is critical that these embedded systems are connected, scalable, secure, safe and reliable.

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A Whole New 'Internet of Things' World

By Jens Wiegand

The Internet of Things (IoT) is transforming not only businesses, but also our lives. The ability of intelligent devices to perceive and respond to the environment around them makes them incredibly valuable for complex decision-making in a broad range of industries. The growth potential is explosive: billions of units are generating more than $1 trillion in revenue today, and according to market analysts, the market for intelligent systems will reach nearly four billion units by 2015, representing more than $2 trillion in revenue. And many experts predict that there will be anywhere from 20 to 50 billion connected devices by 2020. In addition, the evolution of Machine-to-Machine (M2M) concepts into IoT concepts is greatly increasing and growing the market opportunity into billions of connected devices at work in a myriad of applications.

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Confusion Abounds as Buzzwords Converge on Defining Internet of Things

By Gareth Noyes

Trends seem to have a life of their own, especially in technology. Clusters of thoughts and ideas converge to re-frame an idea or define something completely new and then buzzwords are born. But before they reach critical mass and gain widespread acceptance, they often go through painful phases where the same words are used, but we get lost between concepts and definitions. However, when good ideas solve real business problems, the buzzword sticks.

Take ‘The Cloud’ for example. Back at Oracle OpenWorld in 2008, Larry Ellison was quoted as saying:

“The interesting thing about cloud computing is that we've redefined cloud computing to include everything that we already do. I can't think of anything that isn't cloud computing with all of these announcements. The computer industry is the only industry that is more fashion-driven than women's fashion. Maybe I'm an idiot, but I have no idea what anyone is talking about. What is it? It's complete gibberish. It's insane. When is this idiocy going to stop?”

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Analytics and the ‘Internet of Things’

By Gareth Noyes

Analytics has become a major buzzword these days, whether in the realm of connected devices, the Internet of Things, web analytics or big data business analytics.  In the context of the Internet of Things, I thought I’d share some observations on different analytics paradigms and use cases.

One common analytics model is what could be termed “store-and-analyze-later,” where massive amounts of data are streamed up to cloud servers and Hadoop clusters for later analysis. The problem with this approach, especially given the ever increasing amounts of data, is that it doesn’t scale, the amount of data quickly overwhelms our ability to make sense of it. Compare that to a model where intelligence (gained from analytics) is tailored to the use case and system topology, leading to “intelligence where and when you need it”-- the notion of multi-tiered intelligence where edge devices have a configurable amount of autonomy and decision making authority, and no longer act as “dumb data generators.”

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