Resource-intensive agricultural simulation applications have increased the need for gridification tools–i.e.,software to transform and scale up the applications using Grid infrastructures–.Previous research has prop...Resource-intensive agricultural simulation applications have increased the need for gridification tools–i.e.,software to transform and scale up the applications using Grid infrastructures–.Previous research has proposed JASAG,a generic gridification tool for agricultural applications,through which the performance of a whole-farm simulation application called Simugan improved considerably.However,JASAG still lacks proper support for efficiently exploiting Grid storage resources,causing significant delays for assembling and summarizing the generated data.In this application note,two different data processing techniques in the context of JASAG are presented to tackle this problem.Simugan was again employed to validate the benefits of these techniques.Experiments using data processing techniques show that the execution time of Simugan was accelerated by a factor of up to 34.34.展开更多
文摘Resource-intensive agricultural simulation applications have increased the need for gridification tools–i.e.,software to transform and scale up the applications using Grid infrastructures–.Previous research has proposed JASAG,a generic gridification tool for agricultural applications,through which the performance of a whole-farm simulation application called Simugan improved considerably.However,JASAG still lacks proper support for efficiently exploiting Grid storage resources,causing significant delays for assembling and summarizing the generated data.In this application note,two different data processing techniques in the context of JASAG are presented to tackle this problem.Simugan was again employed to validate the benefits of these techniques.Experiments using data processing techniques show that the execution time of Simugan was accelerated by a factor of up to 34.34.
