The rise of mobile and the death of rest

Read a couple of articles this week about the rise of mobile computing.  About a decade ago I was at a conference where one of the keynotes was on the inevitability of ubiquitous computing or everywhere computing.  I believe now that smart phones have arrived, we have realized that dream.

How big companies die

One article I read was from Forbes on Here’s why Google and Facebook might disappear in the next 5 years.  The central tenet of their discussion was that the rise of mobile is a new paradigm shift just like Web 1.0 and Web 2.0 emerged over time and reinvented most of the industries that went before them.

Most companies around before the internet were unable to see and understand what would constitute a viable business model in the new Web 1.0 environment. Similarly, the major players in Web 1.0 never really saw the transition that occurred to a more interactive, information sharing that became Web 2.0.

The problem is that all these companies grew up in the reigning paradigm of the day and became successful by seeing the transition as a new way of doing business. They just couldn’t conceive that another way of doing business was coming along that was strategically different and thus, highly damaging to their now outdated, business models.

Full speed ahead

But it even get’s worse. Another article I read from Tecnology Review was titled Questions for Mobile Computing.

One interesting tidbit is that time it’s taking to reach a certain adoption level in the market is shrinking. The chart (from Apple) showed that both the iPhone and iPad has drastically shrunk the time it took to attain high market adoption.

Mobile business models

The main question in the article was how web 2.0 advertising revenue business models were going to translate into a mobile environment where they no longer controlled advertising.  Many Web2.0 companies seem to be ignoring mobile at the moment but it won’t take long for companies focused on this new computing tsunami to roll over them.

Apple and Google have taken two distinctly divergent approaches to this market but at least they are (massively) engaged.  That’s more than can be said for some of the web 2.0 properties out there ignoring mobile to their long term detriment.

The fact is that mobile is a new computing platform.  It’s possibilities are truly extraordinary from mHealth (see my post on mHealth taking off in Kenya) and  mCurrency today to Google glasses of tomorrow.

I strongly believe that those companies that see this shift now and go after it with new business models to profit from mobile computing will succeed faster and mightier than we have ever seen.   The rest will be left in the dust.

The funny bit is that it’s not the developed world that’s taking the new model to new directions but the developing world.  They seem better able to see mobile computing for what it is, an relatively easy way to leapfrog from the 19th century to the 21st in one jump.

So what are profitable business models that leverage mobile computing?

Analyzing SPECsfs2008 flash use in NFS performance – chart-of-the-month

(SCISFS120316-002) (c) 2012 Silverton Consulting, All Rights Reserved
(SCISFS120316-002) (c) 2012 Silverton Consulting, All Rights Reserved

For some time now I have been using OPS/drive to measure storage system disk drive efficiency but have so far failed to come up with anything similar for flash or SSD use.  The problem with flash in storage is that it can be used as a cache or as a storage device.  Even when used as a storage device under automated storage tiering, SSD advantages can be difficult to pin down.

In my March newsletter as a first attempt to measure storage system flash efficiency I supplied a new chart shown above, which plots the top 10 NFS throughput ops/second/GB of NAND used in the SPECsfs2008 results.

What’s with Avere?

Something different has occurred with the (#1) Avere FXT 3500 44-node system in the chart.   The 44-node Avere system only used ~800GB of flash as a ZIL (ZFS intent log from the SPECsfs report).   However, the 44-node system also had ~7TB of DRAM across their 44-node system, most of which was used for file IO caching.  If we incorporated storage system memory size with flash GB in the above chart it would have dropped the Avere numbers by a factor of 9 while only dropping the others by a factor of ~2X which would still give the Avere a significant advantage but not quite so stunning.  Also, the Avere system frontends other NAS systems, (this one running ZFS) so it’s not quite the same as being a direct NAS storage system like the others on this chart.

The remainder of the chart (#2-10) belongs to NetApp and their FlashCache (or PAM) cards.  Even Oracles Sun ZFS Storage 7320 appliance did not come close to either the Avere FXT 3500 system or the NetApp storage on this chart.  But there were at least 10 other SPECsfs2008 NFS results using some form of flash but were not fast enough to rank on this chart.

Other measures of flash effectiveness

This metric still doesn’t quite capture flash efficiency.  I was discussing flash performance with another startup the other day and they suggested that SSD drive count might be a better  alternative.  With such a measure, it would take into consideration that each SSD has a only a certain performance level it can sustain, not unlike disk drives.

In that case Avere’s 44-node system had 4 drives, and each NetApp system had two FlashCache cards, representing 2-SSDs per NetApp node.  I try that next time to see if it’s  a better fit.

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The complete SPECsfs2008 performance report went out in SCI’s March newsletter.  But a copy of the report will be posted on our dispatches page sometime next month (if all goes well). However, you can get the SPECsfs performance analysis now and subscribe to future free newsletters by just sending us an email or using the signup form above right.

For a more extensive discussion of current NAS or file system storage performance covering SPECsfs2008 (Top 20) results and our new ChampionChart™ for NFS and CIFS storage systems, please see SCI’s NAS Buying Guide available from our website.

As always, we welcome any suggestions or comments on how to improve our analysis of SPECsfs2008 results or any of our other storage performance analyses.