Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Scheduling Divisible Loads in Parallel and Distributed Systems
Scheduling Divisible Loads in Parallel and Distributed Systems
Processing Time and Memory Requirements for Multi-instalment Divisible Job Processing
PPAM '01 Proceedings of the th International Conference on Parallel Processing and Applied Mathematics-Revised Papers
Divisible Load Scheduling in Systems with Limited Memory
Cluster Computing
Out-of-core divisible load processing
IEEE Transactions on Parallel and Distributed Systems
Experimental study of scheduling with memory constraints using hybrid methods
Journal of Computational and Applied Mathematics
Heuristics for multi-round divisible loads scheduling with limited memory
Parallel Computing
A new model of multi-installment divisible loads processing in systems with limited memory
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
| Hi-index | 0.00 |
Optimum divisible load processing in heterogeneous star system with limited memory is studied. We propose two algorithms to find multi-installment load distribution: Exact branch-and-bound algorithm and a heuristic using genetic search method. Characteristic features of the solutions and the performance of the algorithms are examined in a set of computational experiments.