The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Optimizing the migration of virtual computers
Abstract
This paper shows how to quickly move the state of a running computer across a network, including the state in its disks, memory, CPU registers, and I/O devices. We call this state a capsule . Capsule state is hardware state, so it includes the entire operating system as well as applications and running processes.We have chosen to move x 86 computer states because x 86 computers are common, cheap, run the software we use, and have tools for migration. Unfortunately, x 86 capsules can be large, containing hundreds of megabytes of memory and gigabytes of disk data. We have developed techniques to reduce the amount of data sent over the network: copy-on-write disks track just the updates to capsule disks, "ballooning" zeros unused memory, demand paging fetches only needed blocks, and hashing avoids sending blocks that already exist at the remote end. We demonstrate these optimizations in a prototype system that uses VMware GSX Server virtual, machine monitor to create and run x 86 capsules. The system targets networks as slow as 384 kbps.Our experimental results suggest that efficient capsule migration can improve user mobility and system management. Software updates or installations on a set of machines can be accomplished simply by distributing a capsule with the new changes. Assuming the presence of a prior capsule, the amount of traffic incurred is commensurate with the size of the update or installation package itself. Capsule migration makes it possible for machines to start running an application within 20 minutes on a 384 kbps link, without having to first install the application or even the underlying operating system. Furthermore, users' capsules can be migrated during a commute between home and work in even less time.
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Cites
Differential collisions in SHA-0
Chabaud, F., & Joux, A. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0055720 · Cited by 209
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Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.82 · Cited by 3,660
Xen and the art of virtualization
Barham, P., Dragovic, B., Fraser, K., Hand, S., Harris, T., Ho, A., Neugebauer, R., Pratt, I., & Warfield, A. (2003) · Proceedings of the nineteenth ACM symposium on Operating systems principles · doi:10.1145/945445.945462 · Cited by 2,107
A Survey of Mobile Cloud Computing Application Models
Khan, A. U. R., Othman, M., Madani, S. A., & Khan, S. U. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.062613.00160 · Cited by 722
Post-copy based live virtual machine migration using adaptive pre-paging and dynamic self-ballooning
Hines, M. R., & Gopalan, K. (2009) · Proceedings of the 2009 ACM SIGPLAN/SIGOPS international conference on Virtual execution environments · doi:10.1145/1508293.1508301 · Cited by 409
Distributed and cloud computing: from parallel processing to the Internet of things
(2012) · Choice Reviews Online · doi:10.5860/choice.49-5712 · Cited by 314
Metadata
- Authors
- Sapuntzakis, C. P., Chandra, R., Pfaff, B., Chow, J., Lam, M. S., & Rosenblum, M.
- Venue
- ACM SIGOPS Operating Systems Review
- Published
- 2002-12-31
- Volume
- 36
- Issue
- SI
- Pages
- 377-390
- ISSN
- 0163-5980 (ISSN-L)
- OpenAlex
- W2094224023
- Cited by
- 408
- References
- 1
- FWCI
- 46.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sapuntzakis, C. P., Chandra, R., Pfaff, B., Chow, J., Lam, M. S., & Rosenblum, M. (2002). Optimizing the migration of virtual computers. ACM SIGOPS Operating Systems Review. https://doi.org/10.1145/844128.844163
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