Interesting forecast on Google's internet plans- setting up semi-redundant compact datacenters closer to users everywhere, to allow even faster data service. From Cringely found through Internet Stock Blog.
We're talking about 5000 Opteron processors and 3.5 petabytes of disk storage that can be dropped-off overnight by a tractor-trailer rig. The idea is to plant one of these puppies anywhere Google owns access to fiber, basically turning the entire Internet into a giant processing and storage grid.
While Google could put these containers anywhere, it makes the most sense to place them at Internet peering points, of which there are about 300 worldwide.
Two years ago Google had one data center. Today they are reported to have 64. Two years from now, they will have 300-plus. The advantage to having so many data centers goes beyond simple redundancy and fault tolerance. They get Google closer to users, reducing latency. They offer inter-datacenter communication and load-balancing using that no-longer-dark fiber Google owns. But most especially, they offer super-high bandwidth connections at all peering ISPs at little or no incremental cost to Google.
Where some other outfit might put a router, Google is putting an entire data center.
At first blush, we'd find the idea of having to place datacenters all over the country, and eventually world, as a bit anti-Google in terms of remaining more of a software and services operation- lean and mean. But the above author argues that these centers could actually be extremely cheap to deploy.
And whether or not the above scenario is Google's actual long-term strategy, it was interesting to read about, and remains credible in our mind because even in these days of fiber optics, one of the biggest long-term problems the internet faces is that of Latency (communication delay) due to the limits of light speed. Light is just too slow for instant communication. The below is an explanation taken from a 1996 Stanford research paper on "interactivity" by Stuart Cheshire, who is described at his website as "Networking wizard and the author of classic tank game Bolo" As perhaps a sign of the times, we'd also like to note that the paper had been commissioned by an asset management company! Nevertheless its an interesting read.
We're not used to worrying about the speed of light being a problem in everyday life but in this case it can be. [With the goal of interactivity being 70ms or less of latency]
The speed of light in vacuum is 300 000 km/sec and the speed of light in typical glass fibre is roughly 33% less, about 200 000 km/sec. How long would it take to send a signal to someone on the far side of the planet and get a response back?
Speed of light in vacuum = 300 000 km/sec
Speed of light in glass fibre = 200 000 km/sec
Circumference of earth = 40 000 km
Total round-trip delay
to far side of the planet and back = 40 000/200 000
= 200msSo, sadly, the best response time we can hope to get to someone on the other side of the planet is 200ms, a long way short of our target for interactivity. Interactions with people on the far side of the planet are going to need the benefit of latency-hiding techniques, and true tightly-coupled interactivity will not be possible. We will probably never be able to have a truly interactive virtual sword fight with someone on the far side of the planet.
However, we're not usually communicating with people on the far side of the planet. Most of the time we're communicating with people much closer to home. Might we be able to get true interactivity with people closer to us? Could we do it within the United States?
Distance from Stanford to Boston = 4400km
One-way delay to Boston = 4400/200 000
= 22msRound-trip to Boston = 44ms
This result is promising. Within the United States we should be able to achieve true interactivity. The speed of light consumes 44ms of our 70ms time budget, leaving us with 26ms for software overhead in the network, the endpoints, and the graphics systems. Not an easy challenge, but at least it's nice to know it's possible.
So while there's hope for within the US, such a problem does make a Google datacenter network seem more useful. By having information stored redundantly, but near different users, the problem of light speed can be overcome.
Hola faretaste
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