att_abstract={{Office and home environments are increasingly crowded with personal computers. Even though these computers see little use in the course of the day, they often remain powered, even when idle. Leaving idle PCs running is not only wasteful, but with rising energy costs it is in- creasingly more expensive. We propose partial migration of idle desktop sessions into the cloud to achieve energy- proportional computing. Partial migration only propa- gates the small footprint of state that will be needed dur- ing idle period execution, and returns the session to the PC when it is no longer idle. We show that this approach can reduce energy usage of an idle desktop by up to 50% over an hour and by up to 69% overnight. We also show that idle desktop sessions have small working sets, up to an order of magnitude smaller than their allocated mem- ory, enabling significant consolidation ratios.}},
	att_authors={kj2681, hl143p, mh7921},
	att_categories={C_NSS.11, C_NSS.4, C_NSS.5, A_ST.3},
	att_copyright_notice={{The definitive version was published in Proceedings of WOSN 2010, Usenix. {{, 2010-06-22}}}},
	author={Kaustubh Joshi and Horacio Lagar-Cavilla and Matti Hiltunen and Nilton Bila and Eyal de Lara and Mahadev Satyanarayanan},
	institution={{2nd USENIX Workshop on Hot Topics in Cloud Computing }},
	title={{The Case for Energy-Oriented Partial Desktop Migration}},