- The Physical Web — a discovery service for physical things. Interesting to see a Google angle: the list of available things might be huge, so it’ll be sorted, and ranking long lists of results is a Core Competency.
- Unfixable USB Attack Closer — researchers have released code implementing the omgdoom USB firmware attack. (Not its formal name) (Yet)
- Sway — looks to me like Microsoft have productised the Medium design sense.
- How 50+ Startups Manage Their Code — I’m a full stack voyeur. I like to look.
"Internet of Things" entries
Universal standards could super-charge IoT growth, but can we get there?
The first remotely operated domestic machine — a toaster — was connected to the Internet less than a quarter-century ago, in 1990. The Internet of Things (IoT) doubled in size a year later with the addition of a coffee pot. Eventually, the Internet Engineering Task Force Network Working Group assigned the coffee pot its own specific standard, HTCPCP 1.0, the Hyper Text Coffee Pot Control Protocol, RFC 2324.
The Internet of Things has grown a bit since then, to somewhere between two billion and 10 billion devices, depending on who’s counting. But it could grow even faster, according to many of the biggest names in the global technology industry, if everyone would just agree on a universal set of technical standards.
The trillion-dollar question is, whose standards? Read more…
Max Firtman on the future of mobile and the importance of embracing change.
Companies and developers have plenty of mobile development challenges — OS platforms, the growing number of devices and screen sizes, and the myriad requirements of browsers, to name a few. Soon — or already — the Internet of Things is going to muddy the waters further. In a recent interview, Max Firtman, founder of ITMaster, stressed the importance of the growing ubiquitousness of IoT and the necessity that companies embrace the future:
”Maybe in 10 years, we’re going to see devices everywhere sending input information to apps that might be in the server, in the cloud — and those apps will carry some kind of intelligence, and will bring us back information on other devices that could be a smart watch, smart glass, a phone; we don’t know, yet, exactly what will be here. But there are a lot of challenges there for content owners or companies because you need to understand that you’re going to be everywhere.
Buildings are ready to be smart — we just need to collect and monitor the data.
Buildings, like people, can benefit from lessons built up over time. Just as Amazon.com recommends books based on purchasing patterns or doctors recommend behavior change based on what they’ve learned by tracking thousands of people, a service such as Clockworks from KGS Buildings can figure out that a boiler is about to fail based on patterns built up through decades of data.
I had the chance to be enlightened about intelligent buildings through a conversation with Nicholas Gayeski, cofounder of KGS Buildings, and Mark Pacelle, an engineer with experience in building controls who has written for O’Reilly about the Internet of Things. Read more…
Range, power consumption, scalability, and bandwidth dominate technology decisions.
Three types of networking topologies are utilized in the Internet-of-Things: point-to-point, star, and mesh networking. To provide a way to explore the attributes and capabilities of each of these topologies, we defined a hypothetical (but realistic) application in the building monitoring and energy management space and methodically defined its networking requirements.
Let’s pull it all together to make a network selection for our building monitoring application. As described previously, the application will monitor, analyze, and optimize energy usage throughout the user’s properties. To accomplish this, monitoring and control points need to be deployed throughout each building, including occupancy and temperature sensors. Sensor data will be aggregated back to a central building automation panel located in each building. A continuous collection of data will provide a higher resolution of temperature and occupancy information, thus rendering better insight into HVAC performance and building utilization patterns. Comparison of energy utilization throughout the portfolio of properties allows lower performing buildings to be flagged.