Flex-GP: Genetic Programming on the Cloud
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{sherry:evoapps12,
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author = "Dylan Sherry and Kalyan Veeramachaneni and
James McDermott and Una-May O'Reilly",
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title = "Flex-GP: Genetic Programming on the Cloud",
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booktitle = "Applications of Evolutionary Computing,
EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN,
EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK,
EvoSTIM, EvoSTOC",
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year = "2011",
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month = "11-13 " # apr,
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editor = "Cecilia {Di Chio} and Alexandros Agapitos and
Stefano Cagnoni and Carlos Cotta and F. {Fernandez de Vega} and
Gianni A. {Di Caro} and Rolf Drechsler and
Aniko Ekart and Anna I Esparcia-Alcazar and Muddassar Farooq and
William B. Langdon and Juan J. Merelo and
Mike Preuss and Hendrik Richter and Sara Silva and
Anabela Simoes and Giovanni Squillero and Ernesto Tarantino and
Andrea G. B. Tettamanzi and Julian Togelius and
Neil Urquhart and A. Sima Uyar and Georgios N. Yannakakis",
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series = "LNCS",
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volume = "7248",
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publisher = "Springer Verlag",
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address = "Malaga, Spain",
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publisher_address = "Berlin",
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pages = "477--486",
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-29177-7",
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URL = "http://www.dylansherry.com/papers/sherry_2012_flexgp.pdf",
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DOI = "doi:10.1007/978-3-642-29178-4_48",
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size = "10 pages",
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abstract = "We describe FlexGP, which we believe to be the first
large-scale genetic programming cloud computing system.
We took advantage of existing software and selected a
socket-based, client-server architecture and an
island-based distribution model. We developed core
components required for deployment on Amazon's Elastic
Compute Cloud. Scaling the system to hundreds of nodes
presented several unexpected challenges and required
the development of software for automatically managing
deployment, reporting, and error handling. The system's
performance was evaluated on two metrics, performance
and speed, on a difficult symbolic regression problem.
Our largest successful FlexGP runs reached 350 nodes
and taught us valuable lessons for the next phase of
scaling.",
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notes = "ECJ java. Distributed Island model, each with a
population of 3000, max pop > 1million. (cf
\cite{langdon:2008:SC} ). non-toriodal four node
(square) grid used to pass 40 emigrants every 4th
generation. (Up to 100 generations). Amazon Linux AMI
micro instance insufficient, used small sized instances
instead. Amazon AMI boot takes variable time (up to
several minutes). Need to add 'controller' and
'LogServer' on top of ECJ and Amazon (Python Bota, also
twisted and nmap, all 3 open source).
EvoPAR Part of \cite{DiChio:2012:EvoApps}
EvoApplications2012 held in conjunction with
EuroGP2012, EvoCOP2012, EvoBio'2012 and EvoMusArt2012",
- }
Genetic Programming entries for
Dylan Sherry
Kalyan Veeramachaneni
James McDermott
Una-May O'Reilly
Citations