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Topology optimization of truss structures is considered in this paper. Trusses are widely used in various constructions: bridges, towers, roof supporting structures. Topology optimization of trusses requires large amount of computing resources. Therefore distributed computer networks are used to solve this kind of problems. In this paper a distributed branch-and-bound combinatorial algorithm for topology...
Focusing on the problem of resource allocation under large-scale, distributed, autonomous, heterogeneous and dynamic environments in grid computing, a heuristic algorithm combining fuzzy clustering with application preference is proposed. Fuzzy clustering method is applied according to a group of features, which describe the user's application preference, to realize reasonable pre-classification resource...
In this paper, we investigate the parallel reliable computational model and propose a parallel interval evolutionary algorithm that integrates interval arithmetic and Mind Evolutionary Computation method. The major aim is to explorer the new parallel interval decomposition scheme can solve computation intensive problem and can determine the all optimal solution reliably. The proposed algorithm is...
Constructing optimal event correlation architecture is crucial to large-scale event services. It plays an instrumental role in detecting composite events requested by different subscribers in scalable and timely manner. However, events generated from different sources might have different time and priority requirements. In addition, the network links and correlation servers might have different bandwidth...
A significant influence of heterogeneity and uncertainty of grid environment on quality of DAG schedules results in a search for new approaches. One of them is Internet-based computing scheduling approach and PRIO algorithm for DAG scheduling. In this paper, we present results of a detailed evaluation of the PRIO algorithms in a heterogeneous environment in which schedulers may recognize performance...
In this paper, a job assignment scheme in grid is proposed. It determines the resource trading price between the buyer and the provider based on the auction, finding the optimal job assignment solution based on the immune optimization. Simulation results have shown that it is both feasible and effective.
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