Grid computing is the technology for building Internet-wide computing environment in which distributed and heterogeneous resources are integrated. However, in Grid environment, job scheduling is confronted with a great challenge. This paper focuses on lightweight jobs scheduling in Grid Computing. An Adaptive Fine-grained Job Scheduling (AFJS) algorithm is proposed. Compared with other finegrained job scheduling algorithms based on grouping, AFJS can outperform them according to the experimental results.

Grids are positioned as systems which spread Internet environments with machines distributed across multiple organizations and administrative domains. Security has been the focus of the grid system recently. As an important part of security, trust in Grid computing has been researched extensively. Based on Subjective Logic, a flexible trust model has been established to enhance the security of Grid system. A trust degree threshold function has been designed for dependent tasks. Furthermore, a trust management framework has been designed to manage this trust model.

Abstract-Grid computing is the technology used in building Internet-wide computing environment and integrating distributed and heterogeneous resources. However, in Grid environment, job scheduling is confronted with a great challenge. This paper focuses on lightweight jobs scheduling in Grid Computing. An Adaptive Fine-grained Job Scheduling (AFJS) algorithm is proposed. Compared with other fine-grained job scheduling algorithms based on grouping, AFJS can outperform them according to the experimental results. And some other related problems are also illustrated.

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