Cover Image

LiteCast: A Lightweight Forecaster for Carbon Optimizations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Joseph, Mathew, Savadi, Tanush, Souza, Abel
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CarbonEdge: Leveraging Mesoscale Spatial Carbon-Intensity Variations for Low Carbon Edge Computing
by: Wu, Li, et al.
Published: (2025)

LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks
by: Chen, Handi, et al.
Published: (2025)

A HPC Co-Scheduler with Reinforcement Learning
by: Souza, Abel, et al.
Published: (2024)

Testing and benchmarking emerging supercomputers via the MFC flow solver
by: Wilfong, Benjamin, et al.
Published: (2025)

FailLite: Failure-Resilient Model Serving for Resource-Constrained Edge Environments
by: Wu, Li, et al.
Published: (2025)

A Lightweight Approach for State Machine Replication
by: Cachin, Christian, et al.
Published: (2025)

A Decentralized Microservice Scheduling Approach Using Service Mesh in Cloud-Edge Systems
by: Wen, Yangyang, et al.
Published: (2025)

ASA -- The Adaptive Scheduling Algorithm
by: Souza, Abel, et al.
Published: (2024)

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

SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
by: Jaiswal, Shashwat, et al.
Published: (2025)

Basic Lock Algorithms in Lightweight Thread Environments
by: Skazhenik, Taras, et al.
Published: (2025)

Serverless Abstractions for Short-Running, Lightweight Streams
by: Carl, Natalie, et al.
Published: (2026)

CkIO: Parallel File Input for Over-Decomposed Task-Based Systems
by: Jacob, Mathew, et al.
Published: (2024)

A Lightweight Neural Network for Accelerating Radiative Transfer Modeling in WRF
by: Fredj, Erick, et al.
Published: (2025)

AGILE: Lightweight and Efficient Asynchronous GPU-SSD Integration
by: Yang, Zhuoping, et al.
Published: (2025)

Holoscope: Open and Lightweight Distributed Telescope & Honeypot Platform
by: Sordello, Andrea, et al.
Published: (2025)

CIR: Lightweight Container Image for Cross-Platform Deployment
by: Li, Fengzhi, et al.
Published: (2026)

Morpheus: Lightweight RTT Prediction for Performance-Aware Load Balancing
by: Giannakopoulos, Panagiotis, et al.
Published: (2025)

LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent
by: Hu, Kan, et al.
Published: (2024)

LCI: a Lightweight Communication Interface for Efficient Asynchronous Multithreaded Communication
by: Yan, Jiakun, et al.
Published: (2025)

Contemplating a Lightweight Communication Interface for Asynchronous Many-Task Systems
by: Yan, Jiakun, et al.
Published: (2025)

Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Performance and Resource Efficiency
by: Yakubov, Diyaz, et al.
Published: (2025)

TopoSZp: Lightweight Topology-Aware Error-controlled Compression for Scientific Data
by: Agarwal, Tripti, et al.
Published: (2026)

FastCache: Optimizing Multimodal LLM Serving through Lightweight KV-Cache Compression Framework
by: Zhu, Jianian, et al.
Published: (2025)

FaaSMT: Lightweight Serverless Framework for Intrusion Detection Using Merkle Tree and Task Inlining
by: Li, Chuang, et al.
Published: (2025)

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

CarbonFlex: Enabling Carbon-aware Provisioning and Scheduling for Cloud Clusters
by: Hanafy, Walid A., et al.
Published: (2025)

Efficiently Executing High-throughput Lightweight LLM Inference Applications on Heterogeneous Opportunistic GPU Clusters with Pervasive Context Management
by: Phung, Thanh Son, et al.
Published: (2025)

Ichnos: A Carbon Footprint Estimator for Scientific Workflows
by: West, Kathleen, et al.
Published: (2024)

PRISM: Dynamic Primitive-Based Forecasting for Large-Scale GPU Cluster Workloads
by: Wu, Xin, et al.
Published: (2026)

SkyStore: Cost-Optimized Object Storage Across Regions and Clouds
by: Liu, Shu, et al.
Published: (2025)

A Cloud-Based Spatio-Temporal GNN-Transformer Hybrid Model for Traffic Flow Forecasting with External Feature Integration
by: Zheng, Zhuo, et al.
Published: (2025)

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

A Systematic Evaluation of the Potential of Carbon-Aware Execution for Scientific Workflows
by: West, Kathleen, et al.
Published: (2025)

An Artificial Intelligence Framework for Joint Structural-Temporal Load Forecasting in Cloud Native Platforms
by: Zhang, Qingyuan
Published: (2026)

The Coordination Criterion
by: Hellerstein, Joseph M.
Published: (2026)

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

HuntMS: A Framework for Microservice Geo-Distribution for Carbon and Cost Reduction
by: Christofidi, Georgia, et al.
Published: (2026)

Carbon: Scaling Trusted Payments with Untrusted Machines
by: Camaioni, Martina, et al.
Published: (2022)

Predictive Performance of Photonic SRAM-based In-Memory Computing for Tensor Decomposition
by: Wijeratne, Sasindu, et al.
Published: (2025)