期刊
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
卷 10, 期 4, 页码 369-382出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNSM.2013.111013.130522
关键词
Live migration; cloud computing; progress management; datacenter
资金
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1305379, 1162270] Funding Source: National Science Foundation
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1018807] Funding Source: National Science Foundation
Live migration of virtual machines is a key management function in cloud computing. Unfortunately, no live migration progress management system exists in the state-of-the-art, leading to (1) guesswork over how long a migration might take and the inability to schedule dependent tasks accordingly; (2) unacceptable application degradation when application components become split over distant cloud datacenters for an arbitrary period during migration; (3) inability to tradeoff application performance and migration time e.g. to finish migration later for less impact on application performance. Pacer is the first migration progress management system that solves these problems. Pacer's techniques are based on robust and lightweight run-time measurements of system and workload characteristics, efficient and accurate analytic models for progress predictions, and online adaptation to maintain user-defined migration objectives for coordinated and timely migrations. Our experiments on a local testbed and on Amazon EC2 show that Pacer is highly effective under a range of application workloads and network conditions.
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