A Scheduling Approach with Processor and Network Heterogeneity for Grid Environment

The path cost is defined as LH=LS , where LH is the length of the path from the source to the target obtained with the heuristic local semantic navigation; and LS is the length of

The proposed model is based on hybrid intelligent technique where neural network is used for prediction and genetic algorithm is used for evolving the NN topology

where the first term is the setup cost of the i th product in a given sequence per unit time and the second term is the holding cost of the i th product (based on the

Results: Based on the results, the approximation of compound Poisson-Pareto distribution via simulation approach agreed with the theoretical mean and variance of each

In the utility maximization approach, a site’s marginal value is calculated based on the representation level of the resource, and a target amount of the resource, and a benefit

Experimental results indicated that the combination of the proposed ABC algorithm, scheduling based on the size of tasks, and the Longest Job First (LJF) scheduling

The HPP approach is analogous to the coupled procedure of network generation and simulation described above, where a rule- based model is first transformed into a

Using simulations, we compared the power of the FPL method with that of a standard pedigree-based linkage mapping method, which is known as the variance component approach