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Deploying lightweight tasks individually on grid resources would lead to a situation where communication overhead dominates the overall application processing time. The communication overhead can be reduced if the people group the lightweight tasks at the meta-scheduler before the deployment. However, there is a necessity to limit the number of tasks in a group in order to utilise the resources and the interconnecting network in an optimal manner. In this paper, the authors propose policies and approaches to decide the granularity of a task group that obeys the task processing requirements and resource-network utilisation constraints while satisfying the user's QoS requirements. Experiments on bag-of-task applications reveal that the proposed policies and approaches lead towards an economical and efficient way of grid utilisation.