Copertina

Carbon-Aware Temporal Data Transfer Scheduling Across Cloud Datacenters

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rodrigues, Elvis, Goldverg, Jacob, Kosar, Tevfik
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Distributed, Parallel, and Cluster Computing Networking and Internet Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Energy-Efficient and High-Performance Data Transfers with DRL Agents
di: Jamil, Hasibul, et al.
Pubblicazione: (2025)

An Online Fragmentation-Aware GPU Scheduler for Multi-Tenant MIG-based Clouds
di: Zambianco, Marco, et al.
Pubblicazione: (2025)

FlowTracer: A Tool for Uncovering Network Path Usage Imbalance in AI Training Clusters
di: Jamil, Hasibul, et al.
Pubblicazione: (2024)

Revolutionizing Datacenter Networks via Reconfigurable Topologies
di: Avin, Chen, et al.
Pubblicazione: (2025)

PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services
di: Yang, Zheming, et al.
Pubblicazione: (2024)

Carbon-Aware End-to-End Data Movement
di: Goldverg, Jacob, et al.
Pubblicazione: (2024)

A Hybrid Cloud Management Plane for Data Processing Pipelines
di: Babu, Vignesh, et al.
Pubblicazione: (2025)

MDTP -- An Adaptive Multi-Source Data Transfer Protocol
di: Abdollah, Sepideh, et al.
Pubblicazione: (2025)

Temporal-Aware GPU Resource Allocation for Distributed LLM Inference via Reinforcement Learning
di: Du, Chengze, et al.
Pubblicazione: (2025)

TriCloudEdge: A multi-layer Cloud Continuum
di: Violettas, George, et al.
Pubblicazione: (2026)

Multi-stage Flow Scheduling for LLM Serving
di: Sun, Yijun, et al.
Pubblicazione: (2026)

AllReduce Scheduling with Hierarchical Deep Reinforcement Learning
di: Wei, Yufan, et al.
Pubblicazione: (2025)

FAST: An Efficient Scheduler for All-to-All GPU Communication
di: Lei, Yiran, et al.
Pubblicazione: (2025)

Cooperative Graceful Degradation In Containerized Clouds
di: Agrawal, Kapil, et al.
Pubblicazione: (2023)

Efficient All-to-All Collective Communication Schedules for Direct-Connect Topologies
di: Basu, Prithwish, et al.
Pubblicazione: (2023)

Multi-Source Coflow Scheduling in Collaborative Edge Computing with Multihop Network
di: Sahni, Yuvraj, et al.
Pubblicazione: (2024)

Dynamic DAG-Application Scheduling for Multi-Tier Edge Computing in Heterogeneous Networks
di: Li, Xiang, et al.
Pubblicazione: (2024)

Harvest: Adaptive Photonic Switching Schedules for Collective Communication in Scale-up Domains
di: Rahman, Mahir, et al.
Pubblicazione: (2026)

An Open-Source Experimentation Framework for the Edge Cloud Continuum
di: Koukis, Georgios, et al.
Pubblicazione: (2024)

Meili: Enabling SmartNIC as a Service in the Cloud
di: Su, Qiang, et al.
Pubblicazione: (2023)

EdgeTimer: Adaptive Multi-Timescale Scheduling in Mobile Edge Computing with Deep Reinforcement Learning
di: Hao, Yijun, et al.
Pubblicazione: (2024)

YUHENG-OS: A Cloud-Native Space Cluster Operating System
di: Zhang, Jin, et al.
Pubblicazione: (2026)

Whack-a-Mole: Deterministic Packet Spraying Across Multiple Network Paths
di: Luby, Michael, et al.
Pubblicazione: (2025)

CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services
di: Souza, Abel, et al.
Pubblicazione: (2024)

Closing the HPC-Cloud Convergence Gap: Multi-Tenant Slingshot RDMA for Kubernetes
di: Friese, Philipp A., et al.
Pubblicazione: (2025)

Arcturus: A Cloud Overlay Network for Global Accelerator with Enhanced Performance and Stability
di: Liu, Matthew Yang, et al.
Pubblicazione: (2025)

ClusterSlice: A Zero-touch Deployment Platform for the Edge Cloud Continuum
di: Mamatas, Lefteris, et al.
Pubblicazione: (2024)

Causal Inference for Quantifying Noisy Neighbor Effects in Multi-Tenant Cloud Environments
di: Schiavo, Philipe S., et al.
Pubblicazione: (2026)

Real-Time Scheduling for 802.1Qbv Time-Sensitive Networking (TSN): A Systematic Review and Experimental Study
di: Xue, Chuanyu, et al.
Pubblicazione: (2023)

OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud
di: Warraich, Ertza, et al.
Pubblicazione: (2023)

A Study on 5G Network Slice Isolation Based on Native Cloud and Edge Computing Tools
di: Andrade, Maiko, et al.
Pubblicazione: (2025)

InfiniteHBD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers
di: Shou, Chenchen, et al.
Pubblicazione: (2025)

Palladium: A DPU-enabled Multi-Tenant Serverless Cloud over Zero-copy Multi-node RDMA Fabrics
di: Qi, Shixiong, et al.
Pubblicazione: (2025)

Varuna: Enabling Failure-Type Aware RDMA Failover
di: Wang, Xiaoyang, et al.
Pubblicazione: (2026)

Heterogeneity-aware P2P Wireless Energy Transfer for Balanced Energy Distribution
di: Ojha, Tamoghna, et al.
Pubblicazione: (2022)

Optimal Multi-Constrained Workflow Scheduling for Cyber-Physical Systems in the Edge-Cloud Continuum
di: Kouloumpris, Andreas, et al.
Pubblicazione: (2025)

Legible Consensus: Topology-Aware Quorum Geometry for Asymmetric Networks
di: Mason, Tony
Pubblicazione: (2026)

Contention-Aware Microservice Deployment in Collaborative Mobile Edge Networks
di: Ge, Xinlei, et al.
Pubblicazione: (2024)

Resource Allocation Driven by Large Models in Future Semantic-Aware Networks
di: Zhang, Haijun, et al.
Pubblicazione: (2025)

An Auction-Based Mechanism for Optimal Task Allocation and Resource Aware Containerization
di: kumar, Ramakant
Pubblicazione: (2026)