Merge branch 'master' of github.com:jeena/GGS-report
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c86cbd888e
2 changed files with 32 additions and 2 deletions
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@ -355,3 +355,25 @@ This paper details the motivations and design choices we made in Thrift, as well
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keywords = {agreement problem, asynchronous system, consensus problem, failure correction, failure detection, fault models, fault tolerance, liveness, message passing, possibility detection, predicate detection, redundancy, safety},
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}
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@article{VM:Jin2010,
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title = "Optimizing the live migration of virtual machine by CPU scheduling",
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journal = "Journal of Network and Computer Applications",
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volume = "In Press, Corrected Proof",
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year = "2010",
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issn = "1084-8045",
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doi = "DOI: 10.1016/j.jnca.2010.06.013",
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url = "http://www.sciencedirect.com/science/article/B6WKB-50GWNDF-1/2/8e238feaccf38844aba14ece109b28a6",
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author = "Hai Jin and Wei Gao and Song Wu and Xuanhua Shi and Xiaoxin Wu and Fan Zhou",
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keywords = "Live virtual machine migration",
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keywords = "Pre-copy algorithm",
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keywords = "CPU scheduling",
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keywords = "Dirty rate"
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}
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@INPROCEEDINGS{VM:Polze,
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author={Polze, Andreas and Troger, Peter and Salfner, Felix},
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booktitle={Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW), 2011 14th IEEE International Symposium on}, title={Timely Virtual Machine Migration for Pro-active Fault Tolerance},
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year={2011},
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month={march},
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doi={10.1109/ISORCW.2011.42},
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}
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12
report.lyx
12
report.lyx
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@ -2544,8 +2544,16 @@ key "armstrong2011"
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\end_layout
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\begin_layout Standard
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There are several good papers on how to migrate whole virtual machines among
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nodes to replicate them but for the GGS a different approach has been chosen.
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There are several good papers (e.g.
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\begin_inset CommandInset citation
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LatexCommand citet
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key "VM:Jin2010,VM:Polze"
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\end_inset
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) on how to migrate whole virtual machines among nodes to replicate them
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but for the GGS a different approach has been chosen.
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Instead of duplicating a virtual machine, an attempt to lift the state
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of the VM to a storage external to the VM is made.
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The state is stored in a fast, fault tolerant data store instead of inside
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