Obtaining Access

Researchers seeking access to the genetics cluster can follow these steps to apply and use the resources effectively:

Application Process:

• Contact the Principal Investigator: Researchers must apply to the principal investigator, Dr. Posthuma, providing a brief description of their intended analyses and research field.

• User Name Assignment: Once approved, researchers will receive a user name from the administrators at SURFsara.

Usage Guidelines:

• Processor Time: There is no restriction on processor time usage, allowing researchers to utilize the computational power as needed for their analyses.

• Node Usage: Some restrictions apply to the number of nodes that can be occupied per user. This ensures fair distribution of resources among all users. Specific limits on the number of nodes and simultaneous jobs will be communicated by the administrators.

• Batch Queuing System: A batch queuing system will coordinate node usage. This system is similar to the current batch queuing systems used at the Lisa cluster at SURFsara. Researchers must submit their jobs through this system to manage the allocation and scheduling of computational tasks efficiently.

Automate with Latenode:

Latenode can help streamline and enhance the management of the genetics cluster access and usage through various automation capabilities:

• Application Management:

  • Automated Application Submission: Implement an automated online application system for researchers to submit their access requests and descriptions of their intended analyses.
  • Approval Workflow: Use automated workflows to review and approve applications, ensuring timely processing and communication with applicants.

• User Management:

  • User Name Assignment: Automate the assignment of user names and credentials once applications are approved.
  • Access Control: Implement automated access control systems to manage user permissions and restrictions on node usage.

• Resource Allocation:

  • Batch Queuing System Integration: Automate the integration of job submissions with the batch queuing system to manage node usage efficiently.
  • Usage Monitoring: Use automated monitoring tools to track processor time and node usage, ensuring compliance with restrictions and optimizing resource allocation.

• Communication:

  • Automated Notifications: Send automated notifications to researchers regarding the status of their applications, job submissions, and any updates on usage policies.
  • Feedback Collection: Implement automated feedback systems to gather input from users on their experience and areas for improvement.

• Reporting and Analytics:

  • Usage Reports: Generate automated reports on resource usage, job submissions, and system performance to provide insights for administrators and users.
  • Performance Analytics: Use automated analytics tools to assess the performance of the cluster and identify opportunities for optimization.

Additionally, integrating Claude Anthropic can further enhance these automation capabilities by providing advanced AI-driven insights, facilitating more effective communication, and ensuring optimized resource allocation and usage.

By integrating Latenode and Claude Anthropic, SURFsara can enhance the efficiency and effectiveness of managing the genetics cluster, ensuring that researchers have seamless access to the resources they need while maintaining fair usage policies and optimizing computational performance.

Please create a ticket here: SURFsara Service Desk