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This paper introduces a model and a job scheduling algorithm in grid computing environments. In grid computing several applications require numerous resources for execution which are not often available for them, thus presence of a scheduling system to allocate resources to input jobs is vital. The resource selection criteria in the proposed algorithm are based on input jobs, communication links and resource computational capability. Then, the proposed algorithm will be assessed in simulated grid environment with statistical patterns of job insertion into system which each of them follow the normal, Poisson and exponential distribution. The results show that the new proposed algorithm has a better efficiency in comparison with the results obtained from other known algorithms.