Five Must-Have Cloud of Things Resources

Thanks to stories in leading media outlets from Fortune to Computerworld, news about the Cloud of Things is spreading like, well, like the Things themselves. What’s also growing are the volumes of ink – pixels, more likely – that are hastening to explains the ins, outs, and between of this phenomenon that is now crossing all boundaries of industry, geography, and humanity.

You could spend a few lifetimes reading what’s been written to date, but your time is limited. To help you get back to the business of business, Vitria has provided the Five Must-Have Cloud-of-Things Resource as a primer to bring you up to speed.

Wikibooks Is Dreaming of IoT

This is a brief overview of IoT and cloud principles, and includes a simple Cloud of Things graphic representation.

Cisco’s Got The Numbers

You’ll need a little more time to pick through the pages of this detailed report, but you’ll get a good sense of what one very credible source thinks the impact of IoT will be on private and public cloud data centers up to the year 2020.

Go a little further and you’ll find out how Cisco views the evolution of the “smart” city, where million citizens will generate 200 million gigabytes of data per day. Here, IoT output will come from cars, airplanes, buildings, factories, hospitals, weather sensors and more.

Homeland Security To The Rescue

Security is going to be a significant challenge for business leaders, IT managers, developers, and just about everyone else who will be handling IoT data. This link leads to two resources, one a fact sheet and the other a deep dive on what DHS feels will be six guiding principles for secure development and handling of IoT devices and applications. Well written and well thought out, the longer piece offers insights valuable to developers, manufacturers, service providers, and consumers, and supplies real-world implementation recommendations.

Don’t Forget The Network, Says Network World

This story details the network-level challenges that cloud computing will face as IoT applications ramp up their data output.

One challenge: most “things” – sensors, meters and so on – are stationary. Yet the cloud works best when it can take in data and distribute it quickly to waiting applications. This means that IoT designers will need to create virtual sensors for cloud handoffs, and it’s also likely that the networks themselves will become ever smarter, with “edge” applications taking responsibility for immediate feedback to auto-based and other similar sensors. If you’re interested in edge and fog computing, read on.

Further reading

The place to start is this story by industry insider/analyst Tom Nolle. He talks about the roles of control clouds and analysis clouds, and generally presents an incisive overview of what to look for with the marriage of cloud computing and the IoT.

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