Zheng, JieNg, T. S. EugeneSripanidkulchai, KunwadeeLiu, Zhaolei2017-08-022017-08-022013-10-01Zheng, Jie, Ng, T. S. Eugene, Sripanidkulchai, Kunwadee, et al.. "Pacer: Taking the Guesswork Out of Live Migrations in Hybrid Cloud Computing." (2013) https://hdl.handle.net/1911/96404.https://hdl.handle.net/1911/96404Hybrid cloud computing, where private and public cloud resources are combined and applications can migrate freely, ushers in unprecedented flexibility for businesses. To unleash the benefits, commercial products already enable the live migration of full virtual machines (CPU, memory, disk, network) between distant cloud datacenters. Unfortunately, no live migration progress management system exists, leading to (1) guesswork over how long a migration might take and the inability to schedule dependent tasks accordingly; (2) unacceptable application degradations – application components could become split over distant cloud datacenters for an arbitrary period during migration; (3) inability to balance application performance and migration time – e.g. to finish migration later for less performance interference. Pacer is the first migration progress management system. Pacer’s techniques are based on robust and lightweight run-time measurements of system and workload characteristics, novel efficient and accurate analytic models for progress predictions, and online adaptation to maintain user-defined migration objectives for coordinated and timely migrations.13 ppengYou are granted permission for the noncommercial reproduction, distribution, display, and performance of this technical report in any format, but this permission is only for a period of forty-five (45) days from the most recent time that you verified that this technical report is still available from the Computer Science Department of Rice University under terms that include this permission. All other rights are reserved by the author(s).Technical reportTR13-01