Multi-objective Bayesian optimization algorithm for real-time task scheduling on heterogeneous multiprocessors

@article{Biswas2016MultiobjectiveBO,
  title={Multi-objective Bayesian optimization algorithm for real-time task scheduling on heterogeneous multiprocessors},
  author={Sajib K. Biswas and Amit Rauniyar and Pranab K. Muhuri},
  journal={2016 IEEE Congress on Evolutionary Computation (CEC)},
  year={2016},
  pages={2844-2851}
}
In this paper, we have proposed a Bayesian optimization based novel approach for multi-objective task scheduling in real-time heterogeneous multiprocessor systems. Task scheduling problem in multi-processor real-time systems is a NP-hard problem. In such systems, scheduling of tasks becomes a huge challenge for the scheduler designers; especially when tasks are inter-dependent and have deadline constraints. Interdependent or precedence-constrained tasks are often represented as directed acyclic… CONTINUE READING
Highly Cited
This paper has 25 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 16 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 41 references

Interval Type - 2 Fuzzy sets for Higher Order Uncertainty Modeling in the Multi - objective ReliabilityRedundancy Allocation Problem ”

  • Z. Ashraf Pranab K. Muhuri, Q. M. Danish Lohani
  • 2016

Interval Type-2 Fuzzy sets for Higher Order Uncertainty Modeling in the Multi-objective Reliability-Redundancy

  • Pranab K. Muhuri, Z. Ashraf, Q. M. Danish Lohani
  • Allocation Problem”,
  • 2016

Multi-Criteria Task Scheduling in Real-Time Embedded Systems using an Energy Efficient Genetic Algorithm in a Fuzzy Environment

  • P. K. Muhuri Amit K. Shukla, R. Nath
  • IEEE Congress on Evolutionary Computation
  • 2016

Similar Papers

Loading similar papers…