Auctioning cluster resources

Lee Or Alon; Orna Agmon Ben-Yehuda; Sigal Oren

doi:10.1145/3534056.3535004

Auctioning cluster resources

Lee Or Alon
, Orna Agmon Ben-Yehuda
, Sigal Oren

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Organizational clusters are often shared among users who compete over resources, but the organization's goal is to increase the overall utility gathered from the cluster. That is, to maximize 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 reduces the weight of the queued jobs by 3X-33X compared with backfilling.

Original language	English
Title of host publication	SYSTOR 2022 - Proceedings of the 15th ACM International Conference on Systems and Storage Conference
Publisher	Association for Computing Machinery, Inc
Pages	147
Number of pages	1
ISBN (Electronic)	9781450393805
DOIs	https://doi.org/10.1145/3534056.3535004
State	Published - 6 Jun 2022
Event	15th ACM International Systems and Storage Conference, SYSTOR 2022 - Virtual, Online, Israel Duration: 13 Jun 2022 → 15 Jun 2022

Publication series

Name	SYSTOR 2022 - Proceedings of the 15th ACM International Conference on Systems and Storage Conference

Conference

Conference	15th ACM International Systems and Storage Conference, SYSTOR 2022
Country/Territory	Israel
City	Virtual, Online
Period	13/06/22 → 15/06/22

Keywords

SLURM
auction
cluster resources

ASJC Scopus subject areas

Computer Science Applications
Hardware and Architecture
Software
Electrical and Electronic Engineering

Access to Document

10.1145/3534056.3535004

Cite this

Alon, L. O., Ben-Yehuda, O. A., & Oren, S. (2022). Auctioning cluster resources. In SYSTOR 2022 - Proceedings of the 15th ACM International Conference on Systems and Storage Conference (pp. 147). (SYSTOR 2022 - Proceedings of the 15th ACM International Conference on Systems and Storage Conference). Association for Computing Machinery, Inc. https://doi.org/10.1145/3534056.3535004

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title = "Auctioning cluster resources",

abstract = "Organizational clusters are often shared among users who compete over resources, but the organization's goal is to increase the overall utility gathered from the cluster. That is, to maximize 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 reduces the weight of the queued jobs by 3X-33X compared with backfilling.",

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author = "Alon, \{Lee Or\} and Ben-Yehuda, \{Orna Agmon\} and Sigal Oren",

note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 15th ACM International Systems and Storage Conference, SYSTOR 2022 ; Conference date: 13-06-2022 Through 15-06-2022",

year = "2022",

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doi = "10.1145/3534056.3535004",

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series = "SYSTOR 2022 - Proceedings of the 15th ACM International Conference on Systems and Storage Conference",

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Alon, LO, Ben-Yehuda, OA & Oren, S 2022, Auctioning cluster resources. in SYSTOR 2022 - Proceedings of the 15th ACM International Conference on Systems and Storage Conference. SYSTOR 2022 - Proceedings of the 15th ACM International Conference on Systems and Storage Conference, Association for Computing Machinery, Inc, pp. 147, 15th ACM International Systems and Storage Conference, SYSTOR 2022, Virtual, Online, Israel, 13/06/22. https://doi.org/10.1145/3534056.3535004

Auctioning cluster resources. / Alon, Lee Or; Ben-Yehuda, Orna Agmon; Oren, Sigal.
SYSTOR 2022 - Proceedings of the 15th ACM International Conference on Systems and Storage Conference. Association for Computing Machinery, Inc, 2022. p. 147 (SYSTOR 2022 - Proceedings of the 15th ACM International Conference on Systems and Storage Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2022/6/6

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AB - Organizational clusters are often shared among users who compete over resources, but the organization's goal is to increase the overall utility gathered from the cluster. That is, to maximize 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 reduces the weight of the queued jobs by 3X-33X compared with backfilling.

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KW - cluster resources

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M3 - Conference contribution

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PB - Association for Computing Machinery, Inc

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ER -

Auctioning cluster resources

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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