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Grid Computing Coming Of Age
ravenousbugblatter writes "The New York Times online has an article discussing grid computing and recent advances made by Dr. Ian Foster, among others. The article compares the state of grid computing over the internet to where the internet was in 1994, which was soon after the development of the software for the use of URL's, HTML, and HTTP. Predictions are made in the article that in the near future the massive power of grid computing will be available to anyone with an internet connection, not just to big companies that can afford to hire HP and Sun to run a grid project for them."
Its the 4th one, and getting better every year.
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Sure this is great if you're doing simulations or animating/rendering stuff . But for Joe Schmoe who surfs the web and reads his e-mail, what's the big deal? How will this affect network security?
Well, I guess the obvious answer is that this is Slashdot. News for Nerds. Stuff that matters. Not News for Joe Schmoe.
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We did study on size of infrastructure of Internet for demographic studies and thanks to partners at Stanford, found that Google setup now is bigger than the whole Internet in 1995 in terms of machines and total bandwidths. Grid computing definitely works..
-- Dr. Fu Ling-Yu, Internal Technology Consult; Tongji University, People Republic of China.
Sure this is great if you're doing simulations or animating/rendering stuff . But for Joe Schmoe who surfs the web and reads his e-mail, what's the big deal? How will this affect network security?
Aside from my rather glib answer to the parent post, I should have added that for the average Joe Schmoe surfing the web, grid computing is very important for web-searches, hierarchical analysis of searches and valid links and if the spam load keeps increasing, we will have to have grids just to handle the load of email onslaught. Seriously though, all you have to do is examine any of the search engine companies. Take Google for instance. How do you think they do what they do? Grid computing is the answer.
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This is great if you think it's great. Grid computing is a technology without a cause right now. It's preposterous to think that the average joe, or even the average joe company, will have any use for grid computing in the forseeable future. Most of us can't keep our load average above 0.1 (that's 10% for you Windows-users) doing anything useful as it is!
Heck, look back over the grid computing stories we've seen here on /. Whose name keeps popping up?
SKYNET LIVES!!!!
Distributed computing is a collection of ideas and practices of which Grid computing is a subset. Distributed computing involves any type of computational resource sharing over a range of couplings. Grid computing, basically, is the idea of taking the solutions distributed computing has come up with so far and making implementing them over widely distributed networks in a standard framework that will make sharing easy, flexible, and powerful. At the same time, faster computers, more available storage and higher bandwidth networks are pushing the development of new distributed technologies for applications suited to a standardized, available computational grid. These applications include physics simulations, tele-immersion (sort of a networked virtual reality), climate modeling, drug discovery, etc. Yeah these are all research applications. Just like the original Internet, the research community is a natural first audience. It will be interesting to see how companies and, eventually, consumers take advantage of the Grid in the future.
I've been working in the Grid Computing area for the last two and a half years, and would like to make a stand for all of us who aren't just worried about bigger supercomputers.
Supercomputers are great, but the number of big computing problems that can handle being run on distributed groups of supercomputers is small. That's why things such as the Earth Simulator and the ASCI programme still exist - sometimes it's just better to build a bigger box!
Where Grid Computing might take off in the science and business mainstream is collaboration and sharing of resources. In particular, I work on producing middleware to try and share and unify data resources. In the astronomy community for instance, they have spent many years standardising the naming schemes for their databases and as a result, projects such as Skyserver and SkyQuery are becoming possible. Now consider the bioinformatics field: hundreds of competing standards for naming things as simple as gene expression ids. Grid computing should provide some of the tools to make knowledge extraction from the many disparate scientific databases possible.
This has applications in business, and it's something we're already seeing in the uptake of Web Services. One recent Grid Computing initiative - Grid Services - is pushing the boundaries of Web Services, and extending them to standardise functionality such as state and lifetime management which should make them more useful for the kinds of collaborative problems which are cropping up in both business and science.
For instance: a car manufacturer has an agreement with different suppliers of airbags - obviously information exchange must take place to ensure safety of the passengers, but both the car manufacturer and airbag supplier will not necessarily want the other to be able to see all data for their parts, just use it. As suppliers change, the manufacturer must ensure that data is properly traced and expired. This is not much different from scientific collaborations, financial collaborations or even network gaming where we have a huge number of swiftly changing, transient resources.
It is these problems of dynamic collaboration and maintenance of resources that Grid Computing may eventually solve.