Monday, July 28. 2008Will all datacentres end up in Siberia?
Article in GigaOM about where datacentres will be built notes that Siberia is a useful area:
Power is seen as the biggest constraint when it comes to building data center capacity. As a way around this conundrum, large consumers of Internet data center capacity have located their facilities closer to energy sources. For instance, Google, Microsoft, and Yahoo have built data centers in Quincy in the state of Washington near a hydroelectric dam where they pay a lot less for power than, say, in Silicon Valley. Google has built a massive facility in The Dalles, Oregon, another location close to power source. There are 3 issues with Datacentre power needs: (i) They need ever more power as they get bigger and pack more processors per square foot, and this means serious electricity - big ones consume the needs of cities or large industrial plants today. (ii) Electricity has high transmission losses over distance, so its far more efficient to be close to power sources. (iii) Nearly every watt of power sent into a datacentre is transformed into heat and needs to be removed, and this conumes as much (if not more) power than the datacentre computers. Being in cool climates and close to cooling sources helps hugely. Thus, instead of great big mines, steel towns and smelting furnaces in the wilds, will we see datacentres and their attendant troglodytes being banished to Siberia? it is not so far fetched to imagine that these and other companies could plan on building data centers in Russia. Microsoft has already made its intentions very clear and is planning a data center in Siberia. Google has been slowly expanding its presence in Russia including a recent purchase of Rambler for $140 million. Of course, the big problem is a lack of massive Internet backbone pipes in and out of Russia, but that might be an issue that could be addressed easily. (Never mind the political/economic "features" of doing business in Russia....) But, as the 90's showed us , given a speculative boom you can lay huge amounts of network cable very fast - and the transmission losses on data are far, far lower than for electricity. Big picture - the endgame for the big datamills is in cool climates next to serious powerplants. But that leads to strategic bottleneck issues so we expect to see other, smaller datacentres located elsewhere as well. We also now also eagerly await the opening up of the Canadian Tundra (Hudson Bay Datamining and Searching Wednesday, July 2. 2008The Adoption of Enterprise 2.0 - wildfire or slow burn?
Suw Charman-Anderson blogs about an Andrew McAfee observation at Enterprise 2.0:
Andrew McAfee asked a deceptively simple question to a panel at Enterprise 2.0 last week, "If Enterprise 2.0 tools and approaches really are so beneficial and powerful, why haven’t they spread like wildfire?" He was surprised that no one fingered management as the culprits. Now Suw has written an interesting take on her blog on the failures of Managers which is well worth a read. I'd like to defend them a bit here in response, as we have worked with many CIOs over the years (even ones putting in Enterprise 2.0 tools) and know them to by and large be interested in new technology but also diligent and careful. We did a survey for a client earlier this year on adoption of a range of new technologies (incl E2.0). Some findings that may be relevant here are: (i) SOHO/SMEs are adopting more than large corporates, faster, mainly due to cost benefits rather than any inherent superiority. If you look at the latest adoption predictions by Forrester, Gartner, Analysys etc you can get more nuances of this sort of view too. Companies are not against the new tools, but typically its not the most pressing need they have right now. The CIO game theory here is simple - failure to adopt potentially useful new technology fast enough = lose a bit of karma with the Digerati, whereas failure to keep the infrastructure delivering BAU reliably = lose job. Game over. Also, most CIO's have been around the block often enough to know that fast following with stuff that works pays off better than very early adoption. Our take - its easy and convenient to blame managers, (and it was ever thus, just as it was ever thus that there are consultants beating the drum - MRP, ERP, 4GL, CRM...the list goes on) but their barriers to adoption are both rational and systemic. In fact, as one of the commentators observed this systemic replacement has been noted before in technology adoption: The 15 year adoption rule for technologies has been mapped to introduction of: relational databases, 4GL, client-server architectures, case tools, mobile computing and many more. There are academic studies that might be of interest (it's not an arbitrary "rule" like sod's law or the peter principle). Its also easy and convenient to exonerate users, or paint them as the go-ahead groovy types fighting against The Man and The System - but we've been implementing technology in enterprises for c 20 years now, and like anyone who has done this for a while we can bore for England on how impatient / ignorant / self serving / stupid / negligent / arrogant / well meaning / ordinary (insert your epithet) users can really f*ck up even the simplest systems - and there are a lot of them (yup, and some of those users are Managers And don't even mention all the virusses the little bleeders introduce into the company networks if you don't lock their systems down Boring, I know, but our findings match those on the panel. (Afterthought - there is a whole 'nother issue I want to write about regarding social media in Enterprises, and how enterprise real life social networks, which are hierarchical, do not map to the ones modelled in consumer Socnets, but that is for another day)
(Page 1 of 1, totaling 2 entries)
|
QuicksearchFor More Information about Broadsight:
Contact us Broadsight website Articles To sign up for Broadstuff on other services: Broadstuff - the Twitter edition Broadstuff - the Jaiku edition Broadstuff - the FriendFeed edition Subscribe to Broadstuff via email Books we are reading: Syndicate This BlogArchivesBlog AdministrationCreative Commons LicenceCategories
|
