Along with the development of computational grids, it is more and more desirable to evaluate performance of the grids by using standard benchmarks. However, currently few benchmark suites have been developed and widely used, which results in an obstacle to the wide acceptance of grid in current e-science age. Meanwhile, the dynamic and heterogeneous nature of grid environment makes performance evaluation and its generic applicability challenging.

NGB (NAS Grid Benchmarks) is a recently proposed benchmark suite for computational grids. In this paper, we use NGB to evaluate the performance of cluster grid with Sun Grid Engine and Globus, which are basic components of the campus grid in our university. The performance metrics we used include turnaround time and CPU utilization. Our preliminary experimental results show that the Sun Grid Engine?s overhead is less than that of Globus because Globus has more procedures in job submission, both of them become negligible when the problem size increases. Moreover, in NGB less loosely coupled grid applications may not necessary result in higher resource utilization, due to various characteristics of applications.