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Extending YML to Be a Middleware for Scientific Cloud Computing

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Book cover Cloud Computing (CloudCom 2009)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5931))

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Abstract

Grid computing has gained great success in harnessing computing resources. But its progress of gridfication on scientific computing is slower than anticipation. This paper analyzes these reasons of hard gridification in detail. While cloud computing as a new paradigm shows its advantages for its many good features such as lost cost, pay by use, easy of use and non trivial Qos. Based on analysis on existing cloud paradigm, a cloud platform architecture based on YML for scientific computing is presented. Emulations testify we are on the right way to extending YML to be middleware for cloud computing. Finally on going improvements on YML and open problem are also presented in this paper.

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References

  1. Delannoy, O., Petiton, S.: A Peer to Peer Computing Framework: Design and Performance Evaluation of YML. In: HeteroPar 2004, Ireland. IEEE Computer Society Press, Los Alamitos (2004)

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  2. Delannoy, O., Emad, N., Petiton, S.G.: Workflow Global Computing with YML. In: The 7th IEEE/ACM International Conference on Grid Computing, pp. 25–32 (2006)

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  3. Delannoy, O.: YML: A scientific Workflow for High Performance Computing, Ph.D. Thesis, Septembre, Versailles (2008)

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  4. Shang, L., Wang, Z., Zhou, X., Huang, X., Cheng, Y.: Tm-dg: a trust model based on computer users’ daily behavior for desktop grid platform. In: CompFrame 2007, pp. 59–66. ACM, New York (2007)

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  5. Shang, L., Wang, Z., Petiton, S., Lou, Y., Liu, Z.: Large Scale Computing on Component Based Framework Easily Adaptive to Cluster and Grid Environments. Third Chinagrid Annual Conference Chinagrid 2008. IEEE Computer Society, 70–77 (2008)

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  6. YML, http://yml.prism.uvsq.fr/

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© 2009 Springer-Verlag Berlin Heidelberg

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Shang, L., Petiton, S.G., Emad, N., Yang, X., Wang, Z. (2009). Extending YML to Be a Middleware for Scientific Cloud Computing. In: Jaatun, M.G., Zhao, G., Rong, C. (eds) Cloud Computing. CloudCom 2009. Lecture Notes in Computer Science, vol 5931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10665-1_69

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  • DOI: https://doi.org/10.1007/978-3-642-10665-1_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10664-4

  • Online ISBN: 978-3-642-10665-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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