Auctioning Cluster Resources

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

doi:10.1145/3502181.3533713

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 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	https://doi.org/10.1145/3502181.3533713
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

Keywords

auction
cluster resources
slurm

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications
Software

Access to Document

10.1145/3502181.3533713

Cite this

Alon, L. O., Ben-Yehuda, O. A., & Oren, S. (2022). Auctioning Cluster Resources. In HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing (pp. 285-286). (HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing). Association for Computing Machinery, Inc. https://doi.org/10.1145/3502181.3533713

Alon, Lee Or ; Ben-Yehuda, Orna Agmon ; Oren, Sigal. / Auctioning Cluster Resources. HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing. Association for Computing Machinery, Inc, 2022. pp. 285-286 (HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing).

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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 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.",

keywords = "auction, cluster resources, slurm",

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note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 31st International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2022 ; Conference date: 27-06-2022 Through 30-06-2022",

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Alon, LO, Ben-Yehuda, OA & Oren, S 2022, Auctioning Cluster Resources. in HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing. HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing, Association for Computing Machinery, Inc, pp. 285-286, 31st International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2022, Virtual, Online, United States, 27/06/22. https://doi.org/10.1145/3502181.3533713

Auctioning Cluster Resources. / Alon, Lee Or; Ben-Yehuda, Orna Agmon; Oren, Sigal.
HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing. Association for Computing Machinery, Inc, 2022. p. 285-286 (HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing).

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

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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BT - HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing

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Alon LO, Ben-Yehuda OA, Oren S. Auctioning Cluster Resources. In HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing. Association for Computing Machinery, Inc. 2022. p. 285-286. (HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing). doi: 10.1145/3502181.3533713

Auctioning Cluster Resources

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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