Large enterprises can save significant energy and
\nmoney by putting idle desktop machines to sleep. Many
\nsystems that let desktops sleep and wake them on demand
\nhave been proposed, but enterprise IT departments
\nrefuse to deploy them because they require special hardware,
\ndisruptive virtualization technology, or dedicated
\nper-subnet proxies, none of which are cost-effective. In
\nresponse, we devised GreenUp, a minimal software-only
\nsystem that allows any machine to act as a proxy for
\nother sleeping machines in its subnet. To achieve this,
\nGreenUp uses novel distributed techniques that spread
\nload through randomization, efficiently synchronize state
\nwithin a subnet, and maintain a minimum number of
\nproxies despite the potential for correlated sleep times.
\nIn this paper, we present the details of GreenUp\u2019s design
\nas well as a theoretical analysis demonstrating its correctness
\nand efficiency, using empirically-derived models
\nwhere appropriate. We also present results and lessons
\nfrom a seven-month live deployment on over 100 machines;
\na larger deployment on ~1,100 machines is currently
\nongoing.<\/p>\n","protected":false},"excerpt":{"rendered":"
Large enterprises can save significant energy and money by putting idle desktop machines to sleep. Many systems that let desktops sleep and wake them on demand have been proposed, but enterprise IT departments refuse to deploy them because they require special hardware, disruptive virtualization technology, or dedicated per-subnet proxies, none of which are cost-effective. 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