Treehouse: A Case For Carbon-Aware Datacenter Software-Reference-Cited by-同舟云学术

Treehouse: A Case For Carbon-Aware Datacenter Software

Published:2023-10 Issue:3 Volume:3 Page:64-70
ISSN:2770-5331
Container-title:ACM SIGEnergy Energy Informatics Review
language:en
Short-container-title:SIGENERGY Energy Inform. Rev.

Author:

Anderson Thomas¹,Belay Adam²,Chowdhury Mosharaf³,Cidon Asaf⁴,Zhang Irene⁵

Affiliation:

1. University of Washington-Seattle, USA

2. Massachusetts Institute of Technology, USA

3. University of Michigan, USA

4. Columbia University, USA

5. Microsoft Research and University of Washington-Seattle, USA

Abstract

The end of Dennard scaling and the slowing of Moore's Law has put the energy use of datacenters on an unsustainable path. Datacenters are already a significant fraction of worldwide electricity use, with application demand scaling at a rapid rate. We argue that substantial reductions in the carbon intensity of datacenter computing are possible with a software-centric approach: by making energy and carbon visible to application developers on a fine-grained basis, by modifying system APIs to make it possible to make informed trade offs between performance and carbon emissions, and by raising the level of application programming to allow for flexible use of more energy efficient means of compute and storage. We also lay out a research agenda for systems software to reduce the carbon footprint of datacenter computing.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3630614.3630626

Reference72 articles.

1. A. Agache , M. Brooker , A. Iordache , A. Liguori , R. Neugebauer , P. Piwonka , and D. Popa . Firecracker: Lightweight virtualization for serverless applications . In USENIX NSDI , pages 419 -- 434 , 2020 . A. Agache, M. Brooker, A. Iordache, A. Liguori, R. Neugebauer, P. Piwonka, and D. Popa. Firecracker: Lightweight virtualization for serverless applications. In USENIX NSDI, pages 419--434, 2020.

2. M. K. Aguilera , N. Amit , I. Calciu , X. Deguillard , J. Gandhi , S. Novaković , A. Ramanathan , P. Subrahmanyam , L. Suresh , K. Tati , R. Venkatasubramanian , and M. Wei . Remote Regions: A simple abstraction for remote memory . In USENIX ATC , 2018 . M. K. Aguilera, N. Amit, I. Calciu, X. Deguillard, J. Gandhi, S. Novaković, A. Ramanathan, P. Subrahmanyam, L. Suresh, K. Tati, R. Venkatasubramanian, and M. Wei. Remote Regions: A simple abstraction for remote memory. In USENIX ATC, 2018.

3. E. Amaro , C. Branner-Augmon , Z. Luo , A. Ousterhout , M. K. Aguilera , A. Panda , S. Ratnasamy , and S. Shenker . Can far memory improve job throughput ? In ACM EuroSys , 2020 . E. Amaro, C. Branner-Augmon, Z. Luo, A. Ousterhout, M. K. Aguilera, A. Panda, S. Ratnasamy, and S. Shenker. Can far memory improve job throughput? In ACM EuroSys, 2020.

4. Amazon. Amazon Elastic Block Store. https://aws.amazon.com/ebs/. Amazon. Amazon Elastic Block Store. https://aws.amazon.com/ebs/.

5. Amazon. Amazon Web Services. https://aws.amazon.com/s3/. Amazon. Amazon Web Services. https://aws.amazon.com/s3/.

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