Abstract
Organizational clusters are often shared among users who compete over resources, but the organization's goal is to increase the overall utility produced by the cluster. That is, to increase the aggregate benefit drawn from the cluster. To overcome this problem, we enhanced SLURM with an auctioning system. We evaluated our work on several real cluster traces. Our auctioning scheduler increases the responsiveness to highly valued jobs. It reduces the weight of the queued jobs (the sum of multiplication of jobs by their wait time by their number of required nodes and by their bid) by 3X - 33X compared with backfilling.
| Original language | English |
|---|---|
| Title of host publication | HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 285-286 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450391993 |
| DOIs | |
| State | Published - 27 Jun 2022 |
| Event | 31st International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2022 - Virtual, Online, United States Duration: 27 Jun 2022 → 30 Jun 2022 |
Publication series
| Name | HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing |
|---|
Conference
| Conference | 31st International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2022 |
|---|---|
| Country/Territory | United States |
| City | Virtual, Online |
| Period | 27/06/22 → 30/06/22 |
Bibliographical note
Publisher Copyright:© 2022 Owner/Author.
Keywords
- auction
- cluster resources
- slurm
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Computer Science Applications
- Software