scheduling
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Reading Group. Oakestra: A Lightweight Hierarchical Orchestration Framework for Edge Computing
Our 148th paper in DistSys Reading Group was “Oakestra: A Lightweight Hierarchical Orchestration Framework for Edge Computing” by Giovanni Bartolomeo, Mehdi Yosofie, Simon Bäurle, Oliver Haluszczynski, Nitinder Mohan, and Jörg Ott. We had a very detailed presentation in the reading group, so I will make a very short summary to compensate. Oakestra, in a nutshell,…
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Reading Group. DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems
In the 127th meeting, we discussed the “DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems” SoCC’22 paper by Ziliang Wang, Shiyi Zhu, Jianguo Li, Wei Jiang, K. K. Ramakrishnan, Yangfei Zheng, Meng Yan, Xiaohong Zhang, Alex X. Liu. This paper argues that current Autoscaling solutions for Microservice applications are lacking in…
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Reading Group. Faster and Cheaper Serverless Computing on Harvested Resources
The 83rd paper in the reading group continues with another SOSP’21 paper: “Faster and Cheaper Serverless Computing on Harvested Resources” by Yanqi Zhang, Íñigo Goiri, Gohar Irfan Chaudhry, Rodrigo Fonseca, Sameh Elnikety, Christina Delimitrou, Ricardo Bianchini. This paper is the second one in a series of harvested resources papers, with the first one appearing in…
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Reading Group. Scaling Large Production Clusters with Partitioned Synchronization
Our 79th paper was “Scaling Large Production Clusters with Partitioned Synchronization.” ATC’21 paper by Yihui Feng, Zhi Liu, Yunjian Zhao, Tatiana Jin, Yidi Wu, Yang Zhang, James Cheng, Chao Li, Tao Guan. This time around, I will not summarize the paper much since A. Jesse Jiryu Davis, who presented the paper, has written a very…
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Reading Group. Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo
In the 68th reading group session, we discussed scheduling in dataflow-like systems with Cameo. The paper, titled “Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo,” appeared at NSDI’21. This paper discusses some scheduling issues in data processing pipelines. When a system answers a query, it breaks the query into several steps or…
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Reading Group. Protean: VM Allocation Service at Scale
The last paper in our reading group was “Protean: VM Allocation Service at Scale.” This paper from Microsoft is full of technical insights into how they operate their datacenters/regions at scale. In particular, the paper discusses one of the fundamental components of any cloud provider — the VM service. The system, called Protean, is an…
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Reading Group. Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads
On Wednesday we were discussing scheduling in large distributed ML/AI systems. Our main paper was the “Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads.” one from OSDI’20. However, it was a bit outside of our group’s comfort zone (outside of my comfort zone for sure). Luckily we had an extensive presentation with a complete background…
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