Merge pull request #125 from JinZhou5042/jinzhou

profile: jin zhou

Author: rct225

assets/images/team/Jin_Zhou.png

@@ -0,0 +1,39 @@
+---
+layout: postdoc
+pagetype: postdoc
+shortname: jinzhou
+postdoc-name: Jin Zhou
+title: PhD Student
+active: True
+dates:
+  start: 2024-08-15
+  end: 2025-09-15
+photo: /assets/images/team/Jin_Zhou.png
+institution: University of Notre Dame
+e-mail: [email protected]
+project_title: Scalable Data Analysis Applications for High Energy Physics
+project_goal: >
+  - Accelerate the execution of CMS analysis applications.
+  - Reduce storage consumption to enable more ambitious computations.
+  - Enhance fault tolerance by breaking long tasks into smaller ones and implementing effective checkpointing strategies.
+
+mentors:
+  - Douglas Thain (Cooperative Computing Lab, University of Notre Dame)
+  - Kevin Lannon (Physics department, University of Notre Dame)
+
+current_status: >
+  <br>
+  <b>2025 Q1 </b>
+  <br>
+
+  *   Progress
+      *   
+      *   Developed the large-input first (LIF) algorithm and the pruning algorithm which effectively reduce the storage consumption by over 90% while running hundreds of thousands of tasks.
+      *   Enhanced the resource allocation and temp file replication on the task scheduler side.
+      *   Attempted to submit a paper to IPDPS 2025 though was rejected.
+  *   Next steps
+      *   Sketch a paper about effectively using limited storage to accomplish enormous computations.
+      *   Develop an algorithm that divides long running tasks in DV5 into smaller ones, which reduces the overhead of rerunning tasks on worker evictions but increases the latency of scheduling a large number of small tasks, so the next plan would be trying to strike a balance between task scheduling and fault tolerance.
+      *   Develop an algorithm that checkpoints remote temp files on time to reduce the risk of losing critical files.
+
+---