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…

cs.DC2023★ 1 cited

Jointly Managing Electrical and Thermal Energy in Solar- and Battery-powered Computer Systems

Noman Bashir, Yasra Chandio, David Irwin +3

Environmentally-powered computer systems operate on renewable energy harvested from their environment, such as solar or wind, and stored in batteries. While harvesting environmenta…

cs.DC2023★ 71 cited

CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency

Walid A. Hanafy, Qianlin Liang, Noman Bashir +2

Cloud platforms are increasing their emphasis on sustainability and reducing their operational carbon footprint. A common approach for reducing carbon emissions is to exploit the t…

cs.OS2022★ 6 cited

Ecovisor: A Virtual Energy System for Carbon-Efficient Applications

Abel Souza, Noman Bashir, Jorge Murillo +4

Cloud platforms' rapid growth is raising significant concerns about their carbon emissions. To reduce emissions, future cloud platforms will need to increase their reliance on rene…

cs.CY2022

Sustainable Computing -- Without the Hot Air

Noman Bashir, David Irwin, Prashant Shenoy +1

The demand for computing is continuing to grow exponentially. This growth will translate to exponential growth in computing's energy consumption unless improvements in its energy-e…

cs.DC2021★ 3 cited

Enabling Sustainable Clouds: The Case for Virtualizing the Energy System

Noman Bashir, Tian Guo, Mohammad Hajiesmaili +5

Cloud platforms' growing energy demand and carbon emissions are raising concern about their environmental sustainability. The current approach to enabling sustainable clouds focuse…

eess.SP2020★ 21 cited

Peak Forecasting for Battery-based Energy Optimizations in Campus Microgrids

Akhil Soman, Amee Trivedi, David Irwin +3

Battery-based energy storage has emerged as an enabling technology for a variety of grid energy optimizations, such as peak shaving and cost arbitrage. A key component of battery-d…

cs.DC2020

No Reservations: A First Look at Amazon's Reserved Instance Marketplace

Pradeep Ambati, David Irwin, Prashant Shenoy

Cloud users can significantly reduce their cost (by up to 60\%) by reserving virtual machines (VMs) for long periods (1 or 3 years) rather than acquiring them on demand. Unfortunat…

eess.SY2020★ 20 cited

Emission-aware Energy Storage Scheduling for a Greener Grid

Rishikesh Jha, Stephen Lee, Srinivasan Iyengar +3

Reducing our reliance on carbon-intensive energy sources is vital for reducing the carbon footprint of the electric grid. Although the grid is seeing increasing deployments of clea…

eess.SP2020★ 1 cited

SunDown: Model-driven Per-Panel Solar Anomaly Detection for Residential Arrays

Menghong Feng, Noman Bashir, Prashant Shenoy +2

There has been significant growth in both utility-scale and residential-scale solar installations in recent years, driven by rapid technology improvements and falling prices. Unlik…

cs.DC2020

Hedge Your Bets: Optimizing Long-term Cloud Costs by Mixing VM Purchasing Options

Pradeep Ambati, Noman Bashir, David Irwin +2

Cloud platforms offer the same VMs under many purchasing options that specify different costs and time commitments, such as on-demand, reserved, sustained-use, scheduled reserve, t…

cs.DC2020★ 14 cited

AI on the Edge: Rethinking AI-based IoT Applications Using Specialized Edge Architectures

Qianlin Liang, Prashant Shenoy, David Irwin

Edge computing has emerged as a popular paradigm for supporting mobile and IoT applications with low latency or high bandwidth needs. The attractiveness of edge computing has been…

cs.DC2017★ 14 cited

Portfolio-driven Resource Management for Transient Cloud Servers

Prateek Sharma, David Irwin, Prashant Shenoy

Cloud providers have begun to offer their surplus capacity in the form of low-cost transient servers, which can be revoked unilaterally at any time. While the low cost of transient…