Live virtual machine migration with adaptive, memory compression

Jin, Hai; Deng, Li; Wu, Song; Shi, Xuanhua; Pan, Xiaodong

doi:10.1109/clustr.2009.5289170

Cited by 253 publications

(113 citation statements)

References 15 publications

Supporting

Mentioning

109

Contrasting

Unclassified

Order By: Relevance

“…However, total migration time is at least proportional to a domain's memory size which may be in the order of MBs and even GBs resulting in high bandwidth requirements [16]. The bandwidth requirements may be somewhat reduced by applying memory compression algorithms on migrating domains [17], which is nevertheless still not sufficient for our purposes.…”

Section: B Virtual Vehicle Migrationmentioning

confidence: 99%

Cyber-physical cloud computing: The binding and migration problem

Kirsch

Pereira

Sengupta

et al. 2012

2012 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

View full text Add to dashboard Cite

Abstract-We take the paradigm of cloud computing developed in the cyber-world and put it into the physical world to create a cyber-physical computing cloud. A server in this cloud moves in space making it a vehicle with physical constraints. Such vehicles also have sensors and actuators elevating mobile sensor networks from a deployment to a service. Possible hosts include cars, planes, people with smartphones, and emerging robots like unmanned aerial vehicles or drifters. We extend the notion of a virtual machine with a virtual speed and call it a virtual vehicle, which travels through space by being bound to real vehicles and by migrating from one real vehicle to another in a manner called cyber-mobility. We discuss some of the challenges and envisioned solutions, and describe our prototype implementation.

show abstract

Section: B Virtual Vehicle Migrationmentioning

confidence: 99%

Cyber-physical cloud computing: The binding and migration problem

Kirsch

Pereira

Sengupta

et al. 2012

2012 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

View full text Add to dashboard Cite

show abstract

“…It achieves very less downtime for the best case scenario but higher downtime because of stop-and-copy phase. Authors in [1] reduced the migration time by compressing the memory pages that are sent to destination in Pre-copy and stop-copy phase. The solution they proposed exploits the memory redundancy in order to gain compression ratios.…”

Section: Related Workmentioning

confidence: 99%

A Balanced Virtual Machine Migration Mechanism based on Genetic Algorithm

Muhammad¹,

Xu²,

Yan³

et al. 2017

Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

View full text Add to dashboard Cite

“… Memory compression: Live migration performance is improved by minimizing the amount of data transfer to the destination using the technique called memory page compression [24]. This technique compresses the source PM memory pages to minimize the amount of data during live migration process and decompresses the memory pages in target PM.…”

Section: Optimizations Of Live Migrationmentioning

confidence: 99%