SparkSim: A Counterfactual Approach for Spark Cluster Scheduling
Simulating and testing scheduling policies can be immensely time- and resourceintensive. In this work, we explore a novel approach, SparkSim, to scheduling policy training that is faster and more efficient than traditional scheduling policy testing. Our approach is based on an extension of CausalSim...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2023
|
| Online Access: | https://hdl.handle.net/1721.1/151471 |