On the third day of Microsoft's Professional Developers Conference, Rick
Rashid, senior vice president of Microsoft Research, showcased some of the
projects the company is working on.
Microsoft is looking at ways to make cloud computing infrastructure more
power efficient and developing its Surface technology with new capabilities.
A key concern is the amount of power consumed by datacentres, which is set to
grow if cloud computing platforms such as Microsoft's own Azure gain acceptance.
Microsoft showed how networks of environmental sensors can be used to monitor
spaces such as server rooms, building a map that tracks changes in temperature
over time.
"For the next decade, research will look at how much energy a particular
program is going to consume when running," said Microsoft principal researcher
Feng Zhao.
Ironically, the vast amount of data generated – about 100MB per day from one
test network, according to Zhao, means that it is farmed out to a cloud for
analysis.
"Information like this gives us an idea of how to distribute
compute-intensive workloads. We have a much better idea of whether you need to
build another datacentre, and how much energy is being used and what for," said
Zhao.
Microsoft also demonstrated an extension of its Surface interactive table
technology called Second Light that can sense objects above the display and so
allow the user to interact with the system in new ways.
Steve Hodges, principal hardware engineer, showed how a piece of paper could
be passed over the Surface, and a different image projected onto it, enabling
road names to be overlaid on a map, for example.
Hodges said that a small secondary surface could be used to pick up an
application Window from the main display. This could be used in a bar to let
customers pick up a menu from the screen for closer inspection, he said.
Also demonstrated was Boku, a tool for teaching programming to kids using a
3D visual environment, and Rashid discussed how Microsoft is continuing research
into concurrency, how computer techniques can be used in healthcare, and efforts
to produce "provable" code that can be analysed to prove it functions as
expected.
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