Prashant Shenoy
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View article: CarbonX: An Open-Source Tool for Computational Decarbonization Using Time Series Foundation Models
CarbonX: An Open-Source Tool for Computational Decarbonization Using Time Series Foundation Models Open
Computational decarbonization aims to reduce carbon emissions in computing and societal systems such as data centers, transportation, and built environments. This requires accurate, fine-grained carbon intensity forecasts, yet existing too…
View article: LLM-Driven Auto Configuration for Transient IoT Device Collaboration
LLM-Driven Auto Configuration for Transient IoT Device Collaboration Open
Today's Internet of Things (IoT) has evolved from simple sensing and actuation devices to those with embedded processing and intelligent services, enabling rich collaborations between users and their devices. However, enabling such collabo…
View article: Data Centers Carbon Emissions at Crossroads: An Empirical Study
Data Centers Carbon Emissions at Crossroads: An Empirical Study Open
Data centers' energy consumption is expected to rise significantly over the next five years due to the accelerated growth of AI and its computational demands. Simultaneously, initiatives are underway to mitigate the environmental impact of…
View article: MEL: Multi-level Ensemble Learning for Resource-Constrained Environments
MEL: Multi-level Ensemble Learning for Resource-Constrained Environments Open
AI inference at the edge is becoming increasingly common for low-latency services. However, edge environments are power- and resource-constrained, and susceptible to failures. Conventional failure resilience approaches, such as cloud failo…
View article: FeatureSense: Protecting Speaker Attributes in Always-On Audio Sensing System
FeatureSense: Protecting Speaker Attributes in Always-On Audio Sensing System Open
Audio is a rich sensing modality that is useful for a variety of human activity recognition tasks. However, the ubiquitous nature of smartphones and smart speakers with always-on microphones has led to numerous privacy concerns and a lack …
View article: Dynamic Incentive Allocation for City-Scale Deep Decarbonization
Dynamic Incentive Allocation for City-Scale Deep Decarbonization Open
Greenhouse gas emissions from the residential sector represent a large fraction of global emissions and must be significantly curtailed to achieve ambitious climate goals. To stimulate the adoption of relevant technologies such as rooftop …
View article: Vision: Preventing Tech-related Physiological Health Issues using Commodity Wearables
Vision: Preventing Tech-related Physiological Health Issues using Commodity Wearables Open
View article: FailLite: Failure-Resilient Model Serving for Resource-Constrained Edge Environments
FailLite: Failure-Resilient Model Serving for Resource-Constrained Edge Environments Open
Model serving systems have become popular for deploying deep learning models for various latency-sensitive inference tasks. While traditional replication-based methods have been used for failure-resilient model serving in the cloud, such m…
View article: GreenThrift: Optimizing Carbon and Cost for Flexible Residential Loads
GreenThrift: Optimizing Carbon and Cost for Flexible Residential Loads Open
Reducing buildings’ carbon emissions is an important sustainability challenge. While scheduling flexible building loads has been previously used for a variety of grid and energy optimizations, carbon footprint reduction using such flexible…
View article: Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints Open
We introduce and study spatiotemporal online allocation with deadline constraints (SOAD), a new online problem motivated by emerging challenges in sustainability and energy. In SOAD, an online player completes a workload by allocating and …
View article: CarbonEdge: Leveraging Mesoscale Spatial Carbon-Intensity Variations for Low Carbon Edge Computing
CarbonEdge: Leveraging Mesoscale Spatial Carbon-Intensity Variations for Low Carbon Edge Computing Open
The proliferation of latency-critical and compute-intensive edge applications is driving increases in computing demand and carbon emissions at the edge. To better understand carbon emissions at the edge, we analyze granular carbon intensit…
View article: Dynamic Incentive Allocation for City-scale Deep Decarbonization
Dynamic Incentive Allocation for City-scale Deep Decarbonization Open
Greenhouse gas emissions from the residential sector represent a significant fraction of global emissions. Governments and utilities have designed incentives to stimulate the adoption of decarbonization technologies such as rooftop PV and …
View article: Lilou: Resource-Aware Model-Driven Latency Prediction for Gpu-Accelerated Model Serving
Lilou: Resource-Aware Model-Driven Latency Prediction for Gpu-Accelerated Model Serving Open
View article: WiSleep: Smartphone-driven Sleep Population Monitoring with Unsupervised Learning
WiSleep: Smartphone-driven Sleep Population Monitoring with Unsupervised Learning Open
With sleep deprivation being a public health concern, sleep monitoring technology, mainly through consumer-grade wearables, has shown value among users to better understand their most fundamental measure of health. Unfortunately, utilizing…
View article: CDN-Shifter: Leveraging Spatial Workload Shifting to Decarbonize Content Delivery Networks
CDN-Shifter: Leveraging Spatial Workload Shifting to Decarbonize Content Delivery Networks Open
View article: TailClipper: Reducing Tail Response Time of Distributed Services Through System-Wide Scheduling
TailClipper: Reducing Tail Response Time of Distributed Services Through System-Wide Scheduling Open
View article: HeliosFair: Fair Sharing of Solar Energy Costs in Communities
HeliosFair: Fair Sharing of Solar Energy Costs in Communities Open
As solar electricity has become cheaper than the retail electricity price, residential consumers are trying to reduce costs by meeting more demand using solar energy. One way to achieve this is to invest in the solar infrastructure collabo…
View article: LEAD: Towards Learning-Based Equity-Aware Decarbonization in Ridesharing Platforms
LEAD: Towards Learning-Based Equity-Aware Decarbonization in Ridesharing Platforms Open
Ridesharing platforms such as Uber, Lyft, and DiDi have grown in popularity due to their on-demand availability, ease of use, and commute cost reductions, among other benefits. However, not all ridesharing promises have panned out. Recent …
View article: Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints Open
We introduce and study spatiotemporal online allocation with deadline constraints ($\mathsf{SOAD}$), a new online problem motivated by emerging challenges in sustainability and energy. In $\mathsf{SOAD}$, an online player completes a workl…
View article: LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand
LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand Open
Motivated by an imperative to reduce the carbon emissions of cloud data centers, this paper studies the online carbon-aware resource scaling problem with unknown job lengths (OCSU) and applies it to carbon-aware resource scaling for execut…
View article: On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations
On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations Open
View article: Untangling Carbon-free Energy Attribution and Carbon Intensity Estimation for Carbon-aware Computing
Untangling Carbon-free Energy Attribution and Carbon Intensity Estimation for Carbon-aware Computing Open
View article: AeroSense: Sensing Aerosol Emissions from Indoor Human Activities
AeroSense: Sensing Aerosol Emissions from Indoor Human Activities Open
The types of human activities occupants are engaged in within indoor spaces significantly contribute to the spread of airborne diseases through emitting aerosol particles. Today, ubiquitous computing technologies can inform users of common…
View article: Towards Privacy-Preserving Audio Classification Systems
Towards Privacy-Preserving Audio Classification Systems Open
Audio signals can reveal intimate details about a person's life, including their conversations, health status, emotions, location, and personal preferences. Unauthorized access or misuse of this information can have profound personal and s…
View article: On the Limitations of Carbon-Aware Temporal and Spatial Workload Shifting in the Cloud
On the Limitations of Carbon-Aware Temporal and Spatial Workload Shifting in the Cloud Open
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 prominence of this idea, prior work has only quantified the…
View article: W4-Groups: Modeling the Who, What, When and Where of Group Behavior via Mobility Sensing
W4-Groups: Modeling the Who, What, When and Where of Group Behavior via Mobility Sensing Open
Human social interactions occur in group settings of varying sizes and locations, depending on the type of social activity. The ability to distinguish group formations based on their purposes transforms how group detection mechanisms funct…
View article: Chasing Convex Functions with Long-term Constraints
Chasing Convex Functions with Long-term Constraints Open
We introduce and study a family of online metric problems with long-term constraints. In these problems, an online player makes decisions $\mathbf{x}_t$ in a metric space $(X,d)$ to simultaneously minimize their hitting cost $f_t(\mathbf{x…
View article: A Holistic Approach for Equity-aware Carbon Reduction of the Ridesharing Platforms
A Holistic Approach for Equity-aware Carbon Reduction of the Ridesharing Platforms Open
In recent years, ridesharing services have revolutionized personal mobility, offering convenient on-demand transportation anytime. While early proponents of ridesharing suggested that these services would reduce the overall carbon emission…
View article: The Green Mirage: Impact of Location- and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy
The Green Mirage: Impact of Location- and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy Open
In recent years, there has been an increased emphasis on reducing the carbon\nemissions from electricity consumption. Many organizations have set ambitious\ntargets to reduce the carbon footprint of their operations as a part of their\nsus…
View article: A Holistic Approach for Equity-aware Carbon Reduction of Ridesharing Platforms
A Holistic Approach for Equity-aware Carbon Reduction of Ridesharing Platforms Open
Ridesharing services have revolutionized personal mobility, offering convenient on-demand transportation anytime. While early proponents of ridesharing suggested that these services would reduce the overall carbon emissions of the transpor…