One approach being proposed by IBM and Intel is to only send exceptional data up to the cloud. By using smart local analytics, 99 percent of the raw data can be discarded, and only the one percent that makes a difference being networked. That said, with trillions of network edge devices out there, this will still be a deluge.
That could be true @prabhakar, it is very likely that 90% of the data will be useless, quite possibly 99%...let's take security sensors, most of the time they will report nothing, everything is OK...the same with patient monitoring devices or bridge sensors...for others like weather sensors the data point will be used once when weather forecast is updated...but all of that should not matter, the remaining 10% or 1% (or maybe 0.1%) will be valuable, possibly very valuable and the infrastructure to handle all that data will be build as it will be a profitable business...Kris
In my opinion , this Internet of things is going to create such a huge amount of data in real time that just collecting, analyzing and disseminating the results of the analysis in real time to the right place is going to be a gigantic activity requiring mammoth data centers in multiple clouds.
and you bet 90% of this all activity will churn out trash - like the thousands of useless emails of each person being preserved on those email servers for free!
@iniewski: much of the weather data belongs to the USGS and/or the local governments that have installed the monitoring stations. I have come across a couple of startups that are trying to provide access to these real time data using cloud model.
I recognize what is installed in the weather stations may not have the granularity and the communication interfaces that consumers expect to access. I am not sure where the investments are going to come from given the challenging times we are in!
I think you are right Colin, accurate, local weather prediction should be available soon if the sensor density is large enough...will government deliver that service or woudl provide companies provide it (presummably for a fee)...Kris
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.