activity
20172024
most citedCarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency

71 citations · 297 across the 18 of their papers we have counts for

collaborators

18 papers

cs.DC2024★ 47 cited

CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services

Abel Souza, Shruti Jasoria, Basundhara Chakrabarty +6

There has been a significant societal push towards sustainable practices, including in computing. Modern interactive workloads such as geo-distributed web-services exhibit various…

cs.DC2023★ 16 cited

Carbon Containers: A System-level Facility for Managing Application-level Carbon Emissions

John Thiede, Noman Bashir, David Irwin +1

To reduce their environmental impact, cloud datacenters' are increasingly focused on optimizing applications' carbon-efficiency, or work done per mass of carbon emitted. To facilit…

cs.DC2023

WattScope: Non-intrusive Application-level Power Disaggregation in Datacenters

Xiaoding Guan, Noman Bashir, David Irwin +1

Datacenter capacity is growing exponentially to satisfy the increasing demand for emerging computationally-intensive applications, such as deep learning. This trend has led to conc…

cs.DC2023

Untangling Carbon-free Energy Attribution and Carbon Intensity Estimation for Carbon-aware Computing

Diptyaroop Maji, Noman Bashir, David Irwin +2

Many organizations, including governments, utilities, and businesses, have set ambitious targets to reduce carbon emissions for their Environmental, Social, and Governance (ESG) go…

cs.DC2023★ 15 cited

On the Promise and Pitfalls of Optimizing Embodied Carbon

Noman Bashir, David Irwin, Prashant Shenoy

To halt further climate change, computing, along with the rest of society, must reduce, and eventually eliminate, its carbon emissions. Recently, many researchers have focused on e…

cs.DC2023★ 68 cited

On the Limitations of Carbon-Aware Temporal and Spatial Workload Shifting in the Cloud

Thanathorn Sukprasert, Abel Souza, Noman Bashir +2

Cloud platforms have been focusing on reducing their carbon emissions by shifting workloads across time and locations to when and where low-carbon energy is available. Despite the…