Self-adjustment of resource allocation for grid applications

@article{Batista2008SelfadjustmentOR,
  title={Self-adjustment of resource allocation for grid applications},
  author={Daniel M. Batista and Nelson Luis Saldanha da Fonseca and Fl{\'a}vio Keidi Miyazawa and Fabrizio Granelli},
  journal={Computer Networks},
  year={2008},
  volume={52},
  pages={1762-1781}
}
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments to meet the needs of a generation of researchers requiring large amounts of bandwidth and more powerful computational resources. The lack of resource ownership by grid schedulers and fluctuations in resource availability require mechanisms which will enable grids to adjust themselves to cope with fluctuations. The lack of a central controller implies a need for self-adaptation. Grids must thus… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 32 CITATIONS

Coping with fluctuations in resource availability in grid networks

  • 2012 IEEE International Conference on Communications (ICC)
  • 2012
VIEW 7 EXCERPTS
CITES BACKGROUND & METHODS

Scheduling Grid Tasks in Face of Uncertain Communication Demands

  • IEEE Transactions on Network and Service Management
  • 2011
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS

Robust Hybrid Mechanisms for Scheduling of Grid Tasks

  • IEEE Latin America Transactions
  • 2011
VIEW 5 EXCERPTS
CITES RESULTS, METHODS & BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 37 REFERENCES

Ten Actions When Grid Scheduling

VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

GHS: a performance system of grid computing

  • 19th IEEE International Parallel and Distributed Processing Symposium
  • 2005
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Experiences on adaptive grid scheduling of parameter sweep applications

  • 12th Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2004. Proceedings.
  • 2004
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

A performance oriented migration framework for the grid

  • CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings.
  • 2003
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Scheduling multiple DAGs onto heterogeneous systems

  • Proceedings 20th IEEE International Parallel & Distributed Processing Symposium
  • 2006
VIEW 1 EXCERPT