:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Sitaraman, Anupama, Lechowicz, Adam, Bashir, Noman, Liu, Xutong, Hajiesmaili, Mohammad, Shenoy, Prashant
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computers and Society
Accesso online:	https://arxiv.org/abs/2502.08877
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Carbon- and Precedence-Aware Scheduling for Data Processing Clusters
di: Lechowicz, Adam, et al.
Pubblicazione: (2025)

Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
di: Lechowicz, Adam, et al.
Pubblicazione: (2024)

LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand
di: Bostandoost, Roozbeh, et al.
Pubblicazione: (2024)

The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
di: Lechowicz, Adam, et al.
Pubblicazione: (2023)

LEAD: Towards Learning-Based Equity-Aware Decarbonization in Ridesharing Platforms
di: Sahebdel, Mahsa, et al.
Pubblicazione: (2024)

Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
di: Lechowicz, Adam, et al.
Pubblicazione: (2023)

Chasing Convex Functions with Long-term Constraints
di: Lechowicz, Adam, et al.
Pubblicazione: (2024)

Lost in Siting: The Hidden Carbon Cost of Inequitable Residential Solar Installations
di: Sigrist, Cooper, et al.
Pubblicazione: (2025)

Quantifying the Carbon Reduction of DAG Workloads: A Job Shop Scheduling Perspective
di: Bostandoost, Roozbeh, et al.
Pubblicazione: (2025)

On the Limitations of Carbon-Aware Temporal and Spatial Workload Shifting in the Cloud
di: Sukprasert, Thanathorn, et al.
Pubblicazione: (2023)

Towards Environmentally Equitable AI
di: Hajiesmaili, Mohammad, et al.
Pubblicazione: (2024)

Online Smoothed Demand Management
di: Lechowicz, Adam, et al.
Pubblicazione: (2025)

Time Fairness in Online Knapsack Problems
di: Lechowicz, Adam, et al.
Pubblicazione: (2023)

Untangling Carbon-free Energy Attribution and Carbon Intensity Estimation for Carbon-aware Computing
di: Maji, Diptyaroop, et al.
Pubblicazione: (2023)

The Green Mirage: Impact of Location- and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy
di: Maji, Diptyaroop, et al.
Pubblicazione: (2024)

A Holistic Approach for Equity-aware Carbon Reduction of Ridesharing Platforms
di: Sahebdel, Mahsa, et al.
Pubblicazione: (2024)

SpiderGen: Towards Procedure Generation For Carbon Life Cycle Assessments with Generative AI
di: Sitaraman, Anupama, et al.
Pubblicazione: (2025)

Near-Optimal Emission-Aware Online Ride Assignment Algorithm for Peak Demand Hours
di: Zeynali, Ali, et al.
Pubblicazione: (2024)

Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach
di: Ghaffari, Fatemeh, et al.
Pubblicazione: (2025)

Signal-Aware Workload Shifting Algorithms with Uncertainty-Quantified Predictors
di: Johnson, Ezra, et al.
Pubblicazione: (2025)

CarbonX: An Open-Source Tool for Computational Decarbonization Using Time Series Foundation Models
di: Maji, Diptyaroop, et al.
Pubblicazione: (2025)

The Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware Scheduling
di: Bashir, Noman, et al.
Pubblicazione: (2024)

Optimizing Individualized Incentives from Grid Measurements and Limited Knowledge of Agent Behavior
di: Lechowicz, Adam, et al.
Pubblicazione: (2024)

Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems
di: Daneshvaramoli, Mohammadreza, et al.
Pubblicazione: (2024)

Scoping Sustainable Collaborative Mixed Reality
di: Chandio, Yasra, et al.
Pubblicazione: (2024)

The Cloud Next Door: Investigating the Environmental and Socioeconomic Strain of Datacenters on Local Communities
di: Ngata, Wacuka, et al.
Pubblicazione: (2025)

Climate AI for Corporate Decarbonization Metrics Extraction
di: Dave, Aditya, et al.
Pubblicazione: (2024)

Fairness Incentives in Response to Unfair Dynamic Pricing
di: Thibodeau, Jesse, et al.
Pubblicazione: (2024)

Simple contagion drives population-scale platform migration
di: Quelle, Dorian, et al.
Pubblicazione: (2025)

AI Family Integration Index (AFII): Benchmarking a New Global Readiness for AI as Family
di: Mahajan, Prashant
Pubblicazione: (2025)

Degradation-Aware Frequency Regulation of a Heterogeneous Battery Fleet via Reinforcement Learning
di: Srinivasa, Tanay Raghunandan, et al.
Pubblicazione: (2026)

Towards Fair Allocation in Social Commerce Platforms
di: Gupta, Anjali, et al.
Pubblicazione: (2024)

Auto311: A Confidence-guided Automated System for Non-emergency Calls
di: Chen, Zirong, et al.
Pubblicazione: (2023)

Optimizing Location Allocation in Urban Management: A Brief Review
di: Ayati, Aref, et al.
Pubblicazione: (2024)

BOLA360: Near-optimal View and Bitrate Adaptation for 360-degree Video Streaming
di: Zeynali, Ali, et al.
Pubblicazione: (2023)

What is Ethical: AIHED Driving Humans or Human-Driven AIHED? A Conceptual Framework enabling the Ethos of AI-driven Higher education
di: Mahajan, Prashant
Pubblicazione: (2025)

Score Design for Multi-Criteria Incentivization
di: Kabra, Anmol, et al.
Pubblicazione: (2024)

Unlocking Excellence: The Impact of Voucher Incentives on Cybersecurity Education
di: Li, Jianhua, et al.
Pubblicazione: (2025)

Smoothed Online Optimization for Target Tracking: Robust and Learning-Augmented Algorithms
di: Zeynali, Ali, et al.
Pubblicazione: (2025)

Low-Bitrate Video Compression through Semantic-Conditioned Diffusion
di: Wang, Lingdong, et al.
Pubblicazione: (2025)