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Resource partitioning algorithms in a programmable service grid architecture

Pieter Thysebaert, Bruno Volckaert (UGent) , Marc De Leenheer (UGent) , Filip De Turck (UGent) , Bart Dhoedt (UGent) and Piet Demeester (UGent)
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Abstract
We propose the use of programmable Grid resource partitioning heuristics in the context of a distributed service Grid management architecture. The architecture is capable of performing automated and exclusive resource-to-service assignations based on Grid resource status/properties and monitored service demand. We present two distinct approaches for the partitioning problem, the first based on Divisible Load Theory and the second built on Genetic Algorithms. Advantages and drawbacks of each approach are discussed and their performance is evaluated using NSGrid. Results show that automated resource-to-service partitioning simplifies scheduling decisions, improves service QoS support and allows efficient computational/network resource usage.

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MLA
Thysebaert, Pieter, Bruno Volckaert, Marc De Leenheer, et al. “Resource Partitioning Algorithms in a Programmable Service Grid Architecture.” Ed. VS Sunderam et al. Lecture Notes in Computer Science 3516 (2005): 250–258. Print.
APA
Thysebaert, Pieter, Volckaert, B., De Leenheer, M., De Turck, F., Dhoedt, B., & Demeester, P. (2005). Resource partitioning algorithms in a programmable service grid architecture. (V. Sunderam, G. van Albada, P. Sloot, & J. Dongarra, Eds.)Lecture Notes in Computer Science, 3516, 250–258. Presented at the 5th International conference on Computational Science (ICCS 2005).
Chicago author-date
Thysebaert, Pieter, Bruno Volckaert, Marc De Leenheer, Filip De Turck, Bart Dhoedt, and Piet Demeester. 2005. “Resource Partitioning Algorithms in a Programmable Service Grid Architecture.” Ed. VS Sunderam, GD van Albada, PMA Sloot, and JJ Dongarra. Lecture Notes in Computer Science 3516: 250–258.
Chicago author-date (all authors)
Thysebaert, Pieter, Bruno Volckaert, Marc De Leenheer, Filip De Turck, Bart Dhoedt, and Piet Demeester. 2005. “Resource Partitioning Algorithms in a Programmable Service Grid Architecture.” Ed. VS Sunderam, GD van Albada, PMA Sloot, and JJ Dongarra. Lecture Notes in Computer Science 3516: 250–258.
Vancouver
1.
Thysebaert P, Volckaert B, De Leenheer M, De Turck F, Dhoedt B, Demeester P. Resource partitioning algorithms in a programmable service grid architecture. Sunderam V, van Albada G, Sloot P, Dongarra J, editors. Lecture Notes in Computer Science. Berlin, Germany: Springer; 2005;3516:250–8.
IEEE
[1]
P. Thysebaert, B. Volckaert, M. De Leenheer, F. De Turck, B. Dhoedt, and P. Demeester, “Resource partitioning algorithms in a programmable service grid architecture,” Lecture Notes in Computer Science, vol. 3516, pp. 250–258, 2005.
@article{326138,
  abstract     = {We propose the use of programmable Grid resource partitioning heuristics in the context of a distributed service Grid management architecture. The architecture is capable of performing automated and exclusive resource-to-service assignations based on Grid resource status/properties and monitored service demand. We present two distinct approaches for the partitioning problem, the first based on Divisible Load Theory and the second built on Genetic Algorithms. Advantages and drawbacks of each approach are discussed and their performance is evaluated using NSGrid. Results show that automated resource-to-service partitioning simplifies scheduling decisions, improves service QoS support and allows efficient computational/network resource usage.},
  author       = {Thysebaert, Pieter and Volckaert, Bruno and De Leenheer, Marc and De Turck, Filip and Dhoedt, Bart and Demeester, Piet},
  editor       = {Sunderam, VS and van Albada, GD and Sloot, PMA and Dongarra, JJ},
  isbn         = {9783540260448},
  issn         = {0302-9743},
  journal      = {Lecture Notes in Computer Science},
  language     = {eng},
  location     = {Atlanta, GA, USA},
  pages        = {250--258},
  publisher    = {Springer},
  title        = {Resource partitioning algorithms in a programmable service grid architecture},
  url          = {http://dx.doi.org/10.1007/11428862_35},
  volume       = {3516},
  year         = {2005},
}

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