Cover Image

OpenDC-STEAM: Realistic Modeling and Systematic Exploration of Composable Techniques for Sustainable Datacenters

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Niewenhuis, Dante, Talluri, Sacheendra, Iosup, Alexandru, de Matteis, Tiziano
Format:	Preprint
Published:	2026
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

M3SA: Exploring Datacenter Performance and Climate-Impact with Multi- and Meta-Model Simulation and Analysis
by: Nicolae, Radu, et al.
Published: (2026)

An Empirical Characterization of Outages and Incidents in Public Services for Large Language Models
by: Chu, Xiaoyu, et al.
Published: (2025)

Cloud Uptime Archive: Open-Access Availability Data of Web, Cloud, and Gaming Services
by: Talluri, Sacheendra, et al.
Published: (2025)

Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis
by: Chu, Xiaoyu, et al.
Published: (2024)

OpenDT: Exploring Datacenter Performance and Sustainability with a Self-Calibrating Digital Twin
by: Nicolae, Radu, et al.
Published: (2026)

Kavier: Exploring Performance, Sustainability, and Efficiency of LLM Ecosystems under Inference through Cache-Aware Discrete-Event Simulation
by: Nicolae, Radu, et al.
Published: (2026)

Literature Study on Operational Data Analytics Frameworks in Large-scale Computing Infrastructures
by: Suman, Shekhar, et al.
Published: (2026)

Developing a BLAS library for the AMD AI Engine
by: Laan, Tristan, et al.
Published: (2024)

FAILS: A Framework for Automated Collection and Analysis of LLM Service Incidents
by: Battaglini-Fischer, Sándor, et al.
Published: (2025)

Datacenter Energy Optimized Power Profiles
by: Narayanaswamy, Sreedhar, et al.
Published: (2025)

Serving Compound Inference Systems on Datacenter GPUs
by: Devata, Sriram, et al.
Published: (2026)

Prefill-as-a-Service: KVCache of Next-Generation Models Could Go Cross-Datacenter
by: Qin, Ruoyu, et al.
Published: (2026)

CrossPipe: Towards Optimal Pipeline Schedules for Cross-Datacenter Training
by: Chen, Tiancheng, et al.
Published: (2025)

Tetris: Efficient Intra-Datacenter Calls Packing for Large Conferencing Services
by: Gandhi, Rohan, et al.
Published: (2025)

Capsule: Efficient Player Isolation for Datacenters
by: Du, Zhouheng, et al.
Published: (2025)

Survey of Disaggregated Memory: Cross-layer Technique Insights for Next-Generation Datacenters
by: Wang, Jing, et al.
Published: (2025)

The Ghost in the Datacenter: Link Flapping, Topology Knowledge Failures, and the FITO Category Mistake
by: Borrill, Paul
Published: (2026)

PowerTrip: Exploiting Federated Heterogeneous Datacenter Power for Distributed ML Training
by: Mehboob, Talha, et al.
Published: (2025)

An Explorative Study on Distributed Computing Techniques in Training and Inference of Large Language Models
by: Hakim, Sheikh Azizul, et al.
Published: (2025)

DCGen 1.1 Technical Report: Generating Datacenter Configurations (including IT, Power, Cooling)
by: Gnibga, Wedan Emmanuel, et al.
Published: (2026)

Characterization of Large Language Model Development in the Datacenter
by: Hu, Qinghao, et al.
Published: (2024)

Uncertainty-Aware Decarbonization for Datacenters
by: Li, Amy, et al.
Published: (2024)

MARLIN: Multi-Agent Game-Theoretic Reinforcement Learning for Sustainable LLM Inference in Cloud Datacenters
by: Moore, H., et al.
Published: (2026)

OpenG2G: A Simulation Platform for AI Datacenter-Grid Runtime Coordination
by: Chung, Jae-Won, et al.
Published: (2026)

Distribution and Management of Datacenter Load Decoupling
by: Lin, Liuzixuan, et al.
Published: (2025)

Adaptive, Efficient and Fair Resource Allocation in Cloud Datacenters leveraging Weighted A3C Deep Reinforcement Learning
by: Kumari, Suchi, et al.
Published: (2025)

Coherence-Aware Task Graph Modeling for Realistic Application
by: Xiong, Guochu, et al.
Published: (2025)

Modeling the Impact of Fiber Latency on Compute-Communication Overlap in Geo-Distributed Multi-Datacenter AI Training
by: Papavasileiou, Ioannis, et al.
Published: (2026)

MuxTune: Efficient Multi-Task LLM Fine-Tuning in Multi-Tenant Datacenters via Spatial-Temporal Backbone Multiplexing
by: Xue, Chunyu, et al.
Published: (2026)

Hotspot-Aware Scheduling of Virtual Machines with Overcommitment for Ultimate Utilization in Cloud Datacenters
by: Wu, Jiaxi, et al.
Published: (2026)

QAOA in Quantum Datacenters: Parallelization, Simulation, and Orchestration
by: Liaqat, Amana, et al.
Published: (2025)

Coordinated Cooling and Compute Management for AI Datacenters
by: Abera, Nardos Belay, et al.
Published: (2026)

Composing Distributed Computations Through Task and Kernel Fusion
by: Yadav, Rohan, et al.
Published: (2024)

Designing Datacenter Power Delivery Hierarchies for the AI Era
by: Wilkins, Grant, et al.
Published: (2026)

Cost-aware Duration Prediction for Software Upgrades in Datacenters
by: Ding, Yi, et al.
Published: (2022)

Power- and Fragmentation-aware Online Scheduling for GPU Datacenters
by: Lettich, Francesco, et al.
Published: (2024)

FlowMesh: A Service Fabric for Composable LLM Workflows
by: Shen, Junyi, et al.
Published: (2025)

Proceedings of 3rd Workshop on Heterogeneous Composable and Disaggregated Systems
by: Pinto, Christian, et al.
Published: (2024)

A Systematic Literature Review on Task Allocation and Performance Management Techniques in Cloud Data Center
by: Chauhan, Nidhika, et al.
Published: (2024)

Designing Dense Satellite Clusters for Distributed Space-based Datacenters
by: Pénot, Jules, et al.
Published: (2026)