Cultivating Altruism Around Computing Resources: Anticipation Work in a Scholarly Community
Johanna Cohoon, Kazi Sinthia Kabir, Tamanna Motahar, Jason Wiese
Abstract
User research for scientific software can inform design and account for the unique concerns of academic researchers. In this study, we explored the user experience on a testbed for cloud computing research, CloudLab. Through 15 semi-structured interviews and observation, we observed the importance of time as a resource to system users. We observed CloudLab users strategically coordinating their time on the platform with other users, navigating the constraints of publication and other academic deadlines. Surprisingly, we found that this coordination may involve altruistic behaviors where users share time on CloudLab that had been allocated for personal use. In light of prior CSCW literature on how actors seek to harness time, we propose concrete opportunities for design interventions. Our strategy across all possible interventions is to increase users' awareness of the rhythms affecting their peers' platform use, allowing coordination based not just on knowledge of CloudLab reservations but also users' progress toward deadlines. The implications of this work inform the design of other similar cyberinfrastructure systems in science where users independently coordinate use of resources.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get a15b98b8-00c4-4dc9-b255-e6cec8736987Related papers
- Lessons Learned from the Chameleon TestbedKate Keahey, Jason Anderson, Zhuo Zhen, Pierre Riteau et al.USENIX ATC 2020 · 398 citations
- Libra: Harvesting Idle Resources Safely and Timely in Serverless ClustersHanfei Yu, Christian Fontenot, Hao Wang, Jian Li et al.HPDC 2023 · 7 citations
- The World is Not Enough: Growing Waste in HPC-enabled Academic PracticeCarolynne Lord, Adrian Friday, Adrian Jackson, Caroline Bird et al.CHI 2025 · 4 citations
- Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud PlatformsChengzhi Lu, Huanle Xu, Kejiang Ye, Guoyao Xu et al.EuroSys 2023 · 34 citations
- Alita: comprehensive performance isolation through bias resource management for public cloudsQuan Chen, Shuai Xue, Shang Zhao, Shanpei Chen et al.SC 2020 · 29 citations
