att_abstract={{Many businesses rely on Disaster Recovery (DR) services to prevent either manmade or natural disasters from causing ex- pensive service disruptions. Unfortunately, current DR services come either at very high cost, or with only weak guarantees about the amount of data lost or time required to restart opera- tion after a failure. In this work, we argue that cloud comput- ing platforms are well suited for offering DR as a service due to their pay-as-you-go pricing model that can lower costs, and their use of automated virtual platforms that can minimize the recovery time after a failure. To this end, we perform a pricing analysis to estimate the cost of running a public cloud based DR service and show significant cost reductions compared to using privately owned resources. Further, we explore what additional functionality must be exposed by current cloud platforms and describe what challenges remain in order to minimize cost, data loss, and recovery time in cloud based DR services.}},
	att_authors={kr2812, jv2782},
	att_copyright_notice={{The definitive version was published in 2nd USENIX Workshop on Hot Topics in Cloud Computing (HotCloud '10).{{, 2010-06-22}}}},
	author={Timothy Wood and Emmanuel Cecchet and Kadangode Ramakrishnan and Prashant Shenoy and Jacobus Van der merwe and Arun Venkataramani},
	institution={{USENIX Workshop on Hot Topics in Cloud Computing http://www.usenix.org/events/hotcloud10/}},
	title={{Disaster Recovery as a Cloud Service: Economic Benefits & Deployment Challenges}},