BioLab A Bioinformatics Oriented Grid Portal

Grid provides powerful computing and storage platform for Bioinformatics, which has become one of the leading forces changing the way in which science is now conducted. However, grid appliances first need to solve problems such as service integration, heterogeneous resource, job management and scheduling while masking complex implements, where a web portal becomes a feasible solution.We introduce BioLab, a grid bioinformatics portal. We define three roles in the system: service providers, service distributers and service users, design integrated mechanism of services and resources and implement modules such as user management and job scheduling and job management. We also provide a non GT Web Service API.In the experiments, we analyze heuristic scheduling algorithms and choose online scheduling algorithms rather than batch scheduling for response speed. We find that in large average job arrival time, unblocked scheduling is better than blocked scheduling, as the average job arrival time increases, Makespan of workflow also increases but the trend becomes slower, in small average job arrival time, all online scheduling algorithms are nearly the same while in large average job arrival time, random algorithm and max available memory scheduling algorithm greatly outperforms the other.