Abstract:
Consideration was given to the multiagent methods and toolkits for efficient control of the job flows generated by the service-oriented applications. These designs were integrated within the framework of a unique technology supporting automation of solution of large scientific problems in the up-to-date cluster Grid whose computing nodes (clusters) can be of an involved hybrid structure. The novelty and practical significance of the methods and tools described in the paper lie in essential extension of the functionality of the computation control system of the cluster Grid, as compared with the existing ones, distribution and sharing of the Grid resources at various levels of job execution, and possibility of integrating intelligent computation control tools in the problem-oriented applications.