Showing posts with label cloud. Show all posts
Showing posts with label cloud. Show all posts

Tuesday, 22 July 2008

More bits and pieces of news and stuff

Friday, 18 July 2008

Various news

I'm starting to catch up with reading - here's some of the news to hit recently (ish!):
  • Microsoft buys up Powerset, in its attempt to take on Google
  • HEFCE announces 22 pilot institutions to test the new REF (http://www.timeshighereducation.co.uk/story.asp?sectioncode=26&storycode=402609)
  • NHS Choices selects Capita as preferred bidder
  • Google is experimenting with a Digg-like interface
  • Amazon S3 experienced service outage on 20 July - one of the risks of relying on the cloud, I guess
  • Encyclopaedia Britannica goes wiki
  • Proquest to acquire Dialog business from Thomson Reuters
Some interesting articles came my way too...
  • Information : lifeblood or pollution? has some interesting thoughts about when information has value and when there is so much information it loses its value. Jakob Nielsen is quoted: 'Information pollution is information overload taken to the extreme. It is where it stops being a burden and becomes an impediment to your ability to get your work done.' Possible solutions are rating the integrity of information and clearer provenance.
  • International initiative licenses resources across 4 European countries about a deal negotiated via the Knowledge Exchange with Multi-Science, ALPSP, BioOne, ScientificWorldJournal, and Wiley-Blackwell.
  • A fun way of describing the amount of data Google handles

Tuesday, 10 June 2008

Dangers of the cloud

Yep, still reading back through Bloglines (having a bit of a spring clean!) and came across a piece from Bill Thompson on the dangers of the cloud - funnily enough, had a similiar conversation at a meeting last week...
http://news.bbc.co.uk/1/hi/technology/7421099.stm

Thursday, 5 June 2008

BCS at Cheltenham Science Festival

I went across to the Cheltenham Science Festival today, for the BCS sponsored talk "Computer Whizz: The Best is Yet to Come" given by Professor Dave Cliff, from University of Bristol. It was a really enjoyable talk...

Dave Cliff started off by covering some of the big things to happen over the last 50 years. He talked about the idea that one major thing happens every decade and how Moore's Law (giving examples relating to processors, hard drives, digital cameras) is being proved right and has indeed become a self-fulfilling prophecy. He showed the progression from mainframe - minicomputer - PC - LAN/distributed networks - Internet/Web - utility/service computing.

He also talked for a while about utility computing, sharing some of the thinking from HP. He showed the design for a centre with 50,000 blade servers which was interesting to see, especially to learn that around 350 are replaced a day and new kit arrives in shipping containers. In fact, Sun/Google have patented the shipping container which has it all ready to go and just needs "plugging in". The cloud (HP called it utility computing, IBM on-demand computing, Sun N-1) is the future business model offering real-time processing (drug design, real-time translation, simulation, gaming worlds). And in fact, there has been work done on market-based control so computers can effectively bid for work, and the user can determine the price they are willing to pay for remote processing.

Cliff also explained a little how computing is learning from nature - e.g. genetic networks, superorganisms, ecosystems - and socioeconomic systems - .e.g marketplaces, languages, ontologies.

And of course, being a science festival, a talk on computing wouldn't be complete without a reference to robots! There has been a lot of work on humanoid robots but there have been many successful commercial applications of non-humanoid robots e.g. irobot.com. Cliff also shared some thoughts on how the lines between human and robot may be becoming blurred, through for example, the use of intelligent prosthetics for amputees; cochlear implants. Might there be a future for storing our memories increasingly on devices and not in our heads?

Lastly, he touched very briefly on two new-ish areas: amorphous computation and quantum computing. Apparently, Bristol Uni is a Centre for Excellence for quantum computing. Though this is where it started getting a little rushed and possibly too technical to cover neatly in a few minutes so will have to look into these a bit more...

All in all, a really enjoyable presentation :-)

Friday, 11 April 2008

Google's grid

Thanks to Matthew for pointing this out - a preview release of Google's App Engine:

http://code.google.com/appengine/

Thursday, 13 March 2008

Google and data storage

Back in January, Wired reported (http://blog.wired.com/wiredscience/2008/01/google-to-provi.html) on Google's plans for open access to research data:

"Two planned datasets are all 120 terabytes of Hubble Space Telescope data and the images from the Archimedes Palimpsest, the 10th century manuscript that inspired the Google dataset storage project"

Also refers to an earlier article by Thomas Goetz (http://www.wired.com/science/discoveries/magazine/15-10/st_essay) on freeing dark data i.e. negative results, to get around the publication bias problem.

Cloud tools used in NY Times digitisation

A short blog item (pointed out by Bill St Arnaud) on the use of Yahoo's Hadoop and Amazon's S3 and EC2 by the New York Times - cheaper infrastructure costs but the comments seem to suggest higher or equal coding costs. Interesting.
http://zzzoot.blogspot.com/2008/02/hadoop-ec2-s3-super-alternatives-for.html

NSF partnership with Google and IBM

The Cluster Exploratory (CluE) relationship will enable the academic research community to conduct experiments and test new theories and ideas using a large-scale, massively distributed computing cluster. NSF anticipates being able to support 10 to 15 research projects in the first year of the program, and will likely expand the number of projects in the future.
http://www.nsf.gov/news/news_summ.jsp?cntn_id=111186&govDel=USNSF_51
http://www.google.com/intl/en/press/pressrel/20071008_ibm_univ.html

Sunday, 20 January 2008

Google to offer data storage

"Google to Host Terabytes of Open-Source Science Data"
http://blog.wired.com/wiredscience/2008/01/google-to-provi.html

Monday, 14 January 2008

Cloud and grid

Bill St Arnaud pointed to this useful blog by Ian Foster:
http://ianfoster.typepad.com/blog/2008/01/theres-grid-in.html

Gives a good overview of some of the issues and adds to the debate of how new cloud computing actually is.

Thursday, 3 January 2008

Cloud computing

Over the Christmas period, Bill St Arnaud posted a couple of interesting items on cloud computing. He also points to an excellent presentation by Savas Parastatidis. I'm not going to explain the background as the links here will do that much better than I can...

Advocates explain that cloud computing offers advantages over grid computing - clouds are potentially more powerful and crash-proof. And there is the idea that outsourcing the infrastructure can save institutions money and drive the environmental agenda.

The downsides associated with cloud computing include: immature standards (though this seems to be changing); inadequate access to high speed connections; data protection concerns.

The big players are all involved in cloud developments - Microsoft, IBM, Yahoo, Google, Amazon. Google is starting to work with a handful of US universities - University of Washington, Berkeley, Stanford, MIT, Carnegie Mellon, University of Maryland - with a view to expanding later to work with more, globally. Amazon is already offering its Simple Storage Service (S3) and is developing its Elastic Compute Cloud (EC2).

The Wikipedia entry for cloud computing points to a couple of interesting articles:

Friday, 14 December 2007

Tony Hey's vision for eResearch

December's NeSC News features a write-up of a lecture given by Tony Hey in which he talks about the future direction of eResearch:

"Research today is data-intensive, compute-intensive, collaborative and multidisciplinary. Researchers are becoming "extreme information workers", looking for subtle signals in great volumes of data. Technologies are emerging that enable a step change in handling scientific data: visualisation, analysis and processing, and also data management and preservation.

Where we have failed, so far, is in making it as easy to use the technology for handling these challenges as it is to use the web. Some communities, like particle physicists, are quite happy with technically complex middleware, but most are unwilling to work with these sorts of tools.
The new technologies of the social web may be the key to empowering researchers in the new data-centric world. It’s already happening in some communities. [...]

Beyond the lab, academic publishing is on the verge of a revolution. [...]

In the new world of e-Research, everything is connected in the cloud – the web-based applications and data stores out there in the internet. There will increasingly be services and tools in the cloud, accessed through simple interfaces via a web browser. [...]"