Two Stanford engineers have created a cluster management tool that can triple server efficiency while delivering reliable service at all times, allowing data center operators to serve more customers for each dollar they invest.
“This is a proof of concept for an approach that could change the way we manage server clusters,” said Jason Mars, a computer science professor at the University of Michigan at Ann Arbor.
Kushagra Vaid, general manager for cloud server engineering at Microsoft Corp., said that the largest data center operators have devised ways to manage their operations but that a great many smaller organizations haven’t.
“If you can double the amount of work you do with the same server footprint, it would give you the agility to grow your business fast,” said Vaid, who oversees a global operation with more than a million servers catering to more than a billion users.
How Quasar works takes some explaining, but one key ingredient is a sophisticated algorithm that is modeled on the way companies such as Netflix and Amazon recommend movies, books and other products to their customers. Instead of asking developers to estimate how much capacity they are likely to need, the Stanford system would start by asking what sort of performance their applications require.
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