The swarm intelligence of well-organised honey bees could be used to improve
the efficiency of web servers, according to new research.
A communications system inspired by bees and developed at the
Georgia
Institute of Technology helps servers normally devoted to one task to move
between tasks as needed.
This load balancing reduces the risk that a website could be overwhelmed with
requests and lock out potential users and customers.
The newly developed 'honeybee' method typically improves service by between
four and 25 per cent compared to traditional server banks in tests based on real
internet traffic.
Craig
Tovey, a professor in the
H.
Milton Stewart School of Industrial and Systems Engineering at Georgia Tech,
realised that bees and servers had strikingly similar barriers to efficiency.
"I studied bees for years, waiting for the right application," he said. "
When you work with biomimetics you have to look for a close analogy between two
systems [and] never a superficial one. And this definitely fit the bill."
Bees tackle their resource allocation problems (i.e. a limited number of bees
and unpredictable demands on time and desired location) with a system driven by
'dances'.
The scout bees leave the hive in search of nectar. Once they find a promising
spot, they return to the hive 'dance floor' and perform a dance.
The 'direction' of the dance tells the waiting forager bees which direction
to fly, the number of 'waggle turns' conveys the distance to the flower patch
and the 'length' of the dance conveys the sweetness of the nectar, according to
the scientists.
While dancing may not sound like a model of efficiency, Professor Tovey
believes that it is optimal for the unpredictable nectar world the bees inhabit.
The system allows the bees to shift seamlessly from one nectar source to a
more promising nectar source based on up-to-the-minute conditions.
Tovey and Sunil Nakrani, a computer science colleague visiting from the
University
of Oxford, set to work translating the dance-based bee strategy for idle
internet servers.
Although optimised for 'normal' conditions, such servers are frequently
challenged by spikes in demand. To combat this the researchers developed a
virtual 'dance floor' for a network of servers.
When one server receives a user request for a certain website, an internal
advertisement is placed on the 'dance floor' to attract any available servers.
The ad's duration depends on the demand on the site and how much revenue its
users may generate. The longer an ad remains on the 'dance floor', the more
power available servers devote to serving the website requests.
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