Without access does the cloud exist?  Not really.

In 2006, cloud computing entered the collective intelligence in the form of Amazon Web Services.  By 2007, over 330,000 developers were registered on the platform.  This rapid uptake was an outgrowth of web 1.0 applications (scale) and growth in high-speed, broadband access from 1998-2005 (ubiquity).  It became apparent to all that new solutions could be developed and efficiencies improved by collapsing to the core a portion of processing and storage that had developed at the edge during the WinTel revolution.  The latter had fundamentally changed the IT landscape between the late 1980s and early 2000s from a mainframe to client server paradigm.

In late 2007 the iPhone was born, just as 3G digital services were introduced by a competitive US wireless industry.  In 2009 “smartphone” penetration was 18% of the market.  By the 3^rd quarter of 2011 that number reached 44%.  The way people communicate and consume information is changing dramatically in a very short time. 

The smartphone is driving cloud (aka back to the mainframe) adoption for 3 reasons: 1) it is introducing a new computing device to complement, not replace, existing computing devices at home and work; 2) the small screen limits what information can be shown and processed; 3) it is increasing the sociability, velocity and value of information.   Information knows no bounds at the edge or core.  And we are at the very very early stages of this dramatic new revolution.

Ice Cream Sandwich (just like Windows 2.0 multi-tasking in 1987) heralds a radical new world of information generation and consumption.  Growth in processing and computation at the edge will drive the core and vice versa; just as chip advances from Intel fed software bloat on desktops further necessitating faster chips.   

But the process can only expand if the networks are there (see page 2) to support that.  Unfortunately carriers have responded with data caps and bemoan the lack of new spectrum.  Fortunately, a hidden back door exists in the form of WiFi access.  And if carriers like AT&T and Verizon don’t watch out, it will become the preferred form of access.

As a recent adopter of Google Music I have become very attuned to that.  First, it is truly amazing how seamless content storage and playback has become.  Second, I learned how to program my phone to always hunt for a wifi connection.  Third, when I do not have access to either the 3G wireless network or WiFi and I want something that is stored online a strange feeling of being disconnected overtakes me; akin to leaving one’s cellphone at home in the morning.

With the smartphone we are getting used to choice and instant gratification.  The problem with WiFi is it’s variability and unreliability.  Capital and technology is being applied to solve that problem and it will be interesting to see how service providers react to the potential threat (and/or opportunity).  Where carriers once imagined walled application gardens there are now fertile iOS and Android fields watered by clouds over which carriers exert little control.  Storm clouds loom over their control of and ROI from access networks.

Even though the US has the most reliable electric system in the world, utility companies are not schooled in real-time or two-way concepts when it comes to gathering and reporting data, nor when it comes to customer service. All of that changes with a “smart-grid” and may be the best explanation why so many smart-grid solutions stop at the meter and do not extend fully into the customer premise. Unfortunately, utilities are not prepared to “get” so much information, let alone “give” much to the customer. Over 20 million smart meters, representing 15% penetration in residential markets, have been deployed as of June, 2011 according to IEE.  They forecast 65 million (50%) by 2015, at an average cost of $150-250 per household.  While these numbers are significant, it will have taken 15 years to get there and even then only 6 million premises, less than 5% of the market, are expected to have energy management devices by 2015.  So while the utilities will have a slightly better view of things and have greater controls and operating efficiencies, the consumer will not be engaged fully, if at all.  This is the challenge of the smart-grid today.

Part of the issue is incumbent organizations--regulatory bodies, large utilities and vendors--and their desire to stick to proven approaches, while not all agreeing on what those approaches are. According to NIST, there are no fewer than 75 key standards and 11 different standards bodies and associations involved in smart-grid research and trials. The result is numerous different approaches, many of which are proprietary and expensive.  As well, the industry breaks energy management within smart-grid into 2 broad categories, namely Demand Response Management (DRM or the side the utility controls) and Demand Side Management (DSM or the side the customer arguably controls), instead of just calling it “end-to-end energy management;” which is how we refer to it.

Another challenge, specifically for rural utilities is that over 60% have PLC meters, which don’t work with most of the “standard” DRM solutions in the market, necessitating an upgrade. This could actually present an opportunity for a well designed end-to-end solution that leapfrogs the current industry debate and offers a new approach.  Such an approach would work-around an expensive investment upgrade of the meter AND allow DSM at the same time. After working with utilities for over 10 years, we’ve discovered that rural utilities are the most receptive to this new way of thinking, not least because they are owned by their customers and they can achieve greater operating efficiencies from end-to-end “smart” technology investment because of their widely dispersed customer base.

Ultimately the market will need low-cost, flexible end-to-end solutions to make the smart-grid pervasive and generate the expected ROI for utility and customer alike.