Advancing Environmental Sustainability in Data Centers via Carbon Depreciation Models
Fuente:
arXiv
Saved in:
| Main Authors: | Ji, Shixin, Yang, Zhuoping, Chen, Xingzhen, Jones, Alex K., Zhou, Peipei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SCARIF: Towards Carbon Modeling of Cloud Servers with Accelerators
by: Ji, Shixin, et al.
Published: (2024)
by: Ji, Shixin, et al.
Published: (2024)
AGILE: Lightweight and Efficient Asynchronous GPU-SSD Integration
by: Yang, Zhuoping, et al.
Published: (2025)
by: Yang, Zhuoping, et al.
Published: (2025)
Environmentally-Conscious Cloud Orchestration Considering Geo-Distributed Data Centers
by: Attenni, Giulio, et al.
Published: (2025)
by: Attenni, Giulio, et al.
Published: (2025)
WaterWise: Co-optimizing Carbon- and Water-Footprint Toward Environmentally Sustainable Cloud Computing
by: Jiang, Yankai, et al.
Published: (2025)
by: Jiang, Yankai, et al.
Published: (2025)
Sustainable Grid through Distributed Data Centers: Spinning AI Demand for Grid Stabilization and Optimization
by: Evans, Scott C, et al.
Published: (2025)
by: Evans, Scott C, et al.
Published: (2025)
Coordinating GPU Data Centers and Power Grid Regulation Service for Exogenous Carbon Benefits
by: Jahanshahi, Ali, et al.
Published: (2026)
by: Jahanshahi, Ali, et al.
Published: (2026)
Choosing the Right Battery Model for Data Center Simulations
by: Kilian, Paul, et al.
Published: (2025)
by: Kilian, Paul, et al.
Published: (2025)
Core Hours and Carbon Credits: Incentivizing Sustainability in HPC
by: Kamatar, Alok, et al.
Published: (2025)
by: Kamatar, Alok, et al.
Published: (2025)
Optimizing Microgrid Composition for Sustainable Data Centers
by: Irion, Julius, et al.
Published: (2025)
by: Irion, Julius, et al.
Published: (2025)
EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing
by: Jiang, Yankai, et al.
Published: (2024)
by: Jiang, Yankai, et al.
Published: (2024)
Eventually-Consistent Federated Scheduling for Data Center Workloads
by: Thiyyakat, Meghana, et al.
Published: (2023)
by: Thiyyakat, Meghana, et al.
Published: (2023)
Humas: A Heterogeneity- and Upgrade-aware Microservice Auto-scaling Framework in Large-scale Data Centers
by: Hua, Qin, et al.
Published: (2024)
by: Hua, Qin, et al.
Published: (2024)
Buffer Centering for bittide Synchronization via Frame Rotation
by: Lall, Sanjay, et al.
Published: (2025)
by: Lall, Sanjay, et al.
Published: (2025)
Exploring the Efficiency of Renewable Energy-based Modular Data Centers at Scale
by: Sun, Jinghan, et al.
Published: (2024)
by: Sun, Jinghan, et al.
Published: (2024)
HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs
by: Li, Yanliang, et al.
Published: (2025)
by: Li, Yanliang, et al.
Published: (2025)
DCSim: Computing and Networking Integration based Container Scheduling Simulator for Data Centers
by: Hu, Jinlong, et al.
Published: (2024)
by: Hu, Jinlong, et al.
Published: (2024)
From Data Center IoT Telemetry to Data Analytics Chatbots -- Virtual Knowledge Graph is All You Need
by: Khan, Junaid Ahmed, et al.
Published: (2025)
by: Khan, Junaid Ahmed, et al.
Published: (2025)
Untangling Carbon-free Energy Attribution and Carbon Intensity Estimation for Carbon-aware Computing
by: Maji, Diptyaroop, et al.
Published: (2023)
by: Maji, Diptyaroop, et al.
Published: (2023)
MPCPA: Multi-Center Privacy Computing with Predictions Aggregation based on Denoising Diffusion Probabilistic Model
by: Luo, Guibo, et al.
Published: (2024)
by: Luo, Guibo, et al.
Published: (2024)
Advancing Polyglot Big Data Processing using the Hadoop ecosystem
by: Seabra, Antony, et al.
Published: (2025)
by: Seabra, Antony, et al.
Published: (2025)
Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
by: Liu, Chen, et al.
Published: (2025)
by: Liu, Chen, et al.
Published: (2025)
Communication-Efficient Sparsely-Activated Model Training via Sequence Migration and Token Condensation
by: Chen, Fahao, et al.
Published: (2024)
by: Chen, Fahao, et al.
Published: (2024)
CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers
by: Bian, Jieming, et al.
Published: (2023)
by: Bian, Jieming, et al.
Published: (2023)
Hecate: Unlocking Efficient Sparse Model Training via Fully Sharded Sparse Data Parallelism
by: Qing, Yuhao, et al.
Published: (2025)
by: Qing, Yuhao, et al.
Published: (2025)
A Systematic Literature Review on Task Allocation and Performance Management Techniques in Cloud Data Center
by: Chauhan, Nidhika, et al.
Published: (2024)
by: Chauhan, Nidhika, et al.
Published: (2024)
SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
by: Jaiswal, Shashwat, et al.
Published: (2025)
by: Jaiswal, Shashwat, et al.
Published: (2025)
Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training
by: Chen, Chang, et al.
Published: (2025)
by: Chen, Chang, et al.
Published: (2025)
LiveR: Fine-Grained Elasticity via Live Reconfiguration for Model Training
by: Liu, Haoyuan, et al.
Published: (2026)
by: Liu, Haoyuan, et al.
Published: (2026)
City-Scale Visibility Graph Analysis via GPU-Accelerated HyperBall
by: Hodge, Alex, et al.
Published: (2026)
by: Hodge, Alex, et al.
Published: (2026)
The Green Mirage: Impact of Location- and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy
by: Maji, Diptyaroop, et al.
Published: (2024)
by: Maji, Diptyaroop, et al.
Published: (2024)
Electricity Consumption of Ethereum and Filecoin: Advances in Models and Estimates
by: Pankovska, Elitsa, et al.
Published: (2024)
by: Pankovska, Elitsa, et al.
Published: (2024)
Unleashing Scalable Context Parallelism for Foundation Models Pre-Training via FCP
by: Zhao, Yilong, et al.
Published: (2026)
by: Zhao, Yilong, et al.
Published: (2026)
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization
by: Li, Haoyang, et al.
Published: (2024)
by: Li, Haoyang, et al.
Published: (2024)
Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations
by: Özcan, Miray, et al.
Published: (2025)
by: Özcan, Miray, et al.
Published: (2025)
A Multi-Objective Framework for Optimizing GPU-Enabled VM Placement in Cloud Data Centers with Multi-Instance GPU Technology
by: Siavashi, Ahmad, et al.
Published: (2025)
by: Siavashi, Ahmad, et al.
Published: (2025)
ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems
by: Jiang, Yankai, et al.
Published: (2025)
by: Jiang, Yankai, et al.
Published: (2025)
HexGen: Generative Inference of Large Language Model over Heterogeneous Environment
by: Jiang, Youhe, et al.
Published: (2023)
by: Jiang, Youhe, et al.
Published: (2023)
FUSCO: High-Performance Distributed Data Shuffling via Transformation-Communication Fusion
by: Zhu, Zhuoran, et al.
Published: (2025)
by: Zhu, Zhuoran, et al.
Published: (2025)
Modeling the Carbon Footprint of HPC: The Top 500 and EasyC
by: Rao, Varsha, et al.
Published: (2025)
by: Rao, Varsha, et al.
Published: (2025)
PARD: Enhancing Goodput for Inference Pipeline via Proactive Request Dropping
by: Zhao, Zhixin, et al.
Published: (2026)
by: Zhao, Zhixin, et al.
Published: (2026)
Similar Items
-
SCARIF: Towards Carbon Modeling of Cloud Servers with Accelerators
by: Ji, Shixin, et al.
Published: (2024) -
AGILE: Lightweight and Efficient Asynchronous GPU-SSD Integration
by: Yang, Zhuoping, et al.
Published: (2025) -
Environmentally-Conscious Cloud Orchestration Considering Geo-Distributed Data Centers
by: Attenni, Giulio, et al.
Published: (2025) -
WaterWise: Co-optimizing Carbon- and Water-Footprint Toward Environmentally Sustainable Cloud Computing
by: Jiang, Yankai, et al.
Published: (2025) -
Sustainable Grid through Distributed Data Centers: Spinning AI Demand for Grid Stabilization and Optimization
by: Evans, Scott C, et al.
Published: (2025)