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Published Articles >> Table of Contents >> Abstract
19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 16
p. 278a
The SDVM - An Approach for Future Adaptive Computer Clusters
Jan Haase, J.W. Goethe Universität, Germany
Frank Eschmann, J.W. Goethe Universität, Germany
Klaus Waldschmidt, J.W. Goethe Universität, Germany
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2005.432
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| Abstract |
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The Self Distributing Virtual Machine (SDVM) is a parallel computing machine which consists of a cluster of customary computers. The participating machines may have different computing speed or actually different operating systems, and any network topology between them is supported. As the SDVM supports dynamic entry and exit at runtime, the cluster may even grow or shrink without disturbing the program flow. Among other features, the SDVMfeatures decentralized scheduling and automatic distribution of data and program code throughout the cluster. Therefore machines need no prerequisites apart from the SDVM daemon itself to join the cluster. The concept of the SDVM is implemented for the field of computer clusters (extensible to grid computing like the internet), but it can be designed for multi-processor-systems or Systems-on-Chip (SoC) as well. This paper presents the properties and the structure of the SDVM.
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 Additional Information
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Citation:
Jan Haase, Frank Eschmann, Klaus Waldschmidt,
"The SDVM - An Approach for Future Adaptive Computer Clusters,"
ipdps,
p. 278a,
19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 16,
2005
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