CloudCom 2009: Cloud Computing pp 662-667 | Cite as

Extending YML to Be a Middleware for Scientific Cloud Computing

  • Ling Shang
  • Serge G. Petiton
  • Nahid Emad
  • Xiaolin Yang
  • Zhijian Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5931)

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.

Keywords

Grid computing Cloud computing YML Scientific computing Cloud middleware 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ling Shang
    • 1
    • 3
  • Serge G. Petiton
    • 1
  • Nahid Emad
    • 2
  • Xiaolin Yang
    • 1
  • Zhijian Wang
    • 3
  1. 1.LiflUniversity of Science and Technology of LilleFrance
  2. 2.PRiSM - Laboratoire d’informatiqueUVSQVersaillesFrance
  3. 3.College of Computer and Information EngineeringHohai UniversityChina

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