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The MetaCentrum batch systems uses a fairshare scheduling policy. Fairshare is a mechanism which allows historical resource utilization information to be incorporated into job feasibility and priority decisions.
- This policy tries to distribute the resources in a 'fair' way between groups and persons that are using the system. Fairshare policy adjusts dynamically job priority in a queue. Therefore, jobs are not executed in the same order as they were submitted.
- When the job belongs to a user that has used a lot of system resources (CPU, RAM, GPU and scratch disk) in past few days, the priority of the job is decreased. On the other hand, if he or she used little resources, the priority is set high and the job is placed closer to the top of the queue.
- System tracks usage of CPU, RAM, GPU and scratch disk. Each such resource consumption is then normalized to its CPU-equivalent using the formula:
Usage_Resource = (Resource_used/Resource_total) * CPU_total * Resource_Weight
- Normalized resource consumptions are summed and added to the user's Fairshare usage (total resource consumption):
Fairshare_usage += Usage_CPU + Usage_RAM + Usage_Scratch + Usage_GPU
- The time-scope of the data stored with respect to the past usage of the system is limited. Simply put, the importance of data decreases with time: yesterday is more important than the day before yesterday and so on. The memory lasts typically 30 days. The more the user has used in recent days, the lower his or her priority is.
- Importantly, the user is prioritized for publications with acknowledgment to MetaCentrum/CERIT-SC. User with higher number of publications (reported in our system) is prioritized over users with smaller numbers of publications.