DocumentCode
1756277
Title
Pacer: A Progress Management System for Live Virtual Machine Migration in Cloud Computing
Author
Jie Zheng ; Ng, T. S. Eugene ; Sripanidkulchai, Kunwadee ; Zhaolei Liu
Author_Institution
Rice Univ., Houston, TX, USA
Volume
10
Issue
4
fYear
2013
fDate
41609
Firstpage
369
Lastpage
382
Abstract
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-theart, 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.
Keywords
cloud computing; computer centres; scheduling; software maintenance; software management; virtual machines; Amazon EC2; Pacer; application performance tradeoff; cloud computing; dependent task scheduling; distant cloud datacenters; live virtual machine migration; migration progress management system; migration time tradeoff; progress predictions; unacceptable application degradation; user-defined migration objectives; Cloud computing; Prediction algorithms; Virtual machine monitors; Virtual machining; Virtualization; Web servers; Live migration; cloud computing; datacenter; progress management;
fLanguage
English
Journal_Title
Network and Service Management, IEEE Transactions on
Publisher
ieee
ISSN
1932-4537
Type
jour
DOI
10.1109/TNSM.2013.111013.130522
Filename
6662353
Link To Document