4 papers
Beyond the Limits: Flexible and Congestion-Aware Cluster Scheduling for the Cloud
Oliver Larsson, Thijs Metsch, Cristian Klein +1
Workload scheduling in cloud environments often relies on simplistic assumptions about application resource needs and hardware utilization. Overlooking application-level performanc…
Workload Buoyancy: Keeping Apps Afloat by Identifying Shared Resource Bottlenecks
Oliver Larsson, Thijs Metsch, Cristian Klein +1
Modern multi-tenant, hardware-heterogeneous computing environments pose significant challenges for effective workload orchestration. Simple heuristics for assessing workload perfor…
Hardware-Level QoS Enforcement Features: Technologies, Use Cases, and Research Challenges
Oliver Larsson, Thijs Metsch, Cristian Klein +1
Recent advancements in commodity server processors have enabled dynamic hardware-based quality-of-service (QoS) enforcement. These features have gathered increasing interest in res…
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning
Akshaya Jagannadharao, Nicole Beckage, Sovan Biswas +6
Concerns about the environmental footprint of machine learning are increasing. While studies of energy use and emissions of ML models are a growing subfield, most ML researchers an…