A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management
Fuente:
arXiv
Saved in:
| Main Authors: | Qi, Sirui, Moore, Hayden, Hogade, Ninad, Milojicic, Dejan, Bash, Cullen, Pasricha, Sudeep |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters
by: Moore, Hayden, et al.
Published: (2025)
by: Moore, Hayden, et al.
Published: (2025)
CASA: A Framework for SLO and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing
by: Qi, S., et al.
Published: (2024)
by: Qi, S., et al.
Published: (2024)
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS
by: Kamatar, Alok, et al.
Published: (2024)
by: Kamatar, Alok, et al.
Published: (2024)
Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers
by: Hogade, Ninad, et al.
Published: (2024)
by: Hogade, Ninad, 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)
by: Moore, H., et al.
Published: (2026)
GeoFaaS: An Edge-to-Cloud FaaS Platform
by: Malekabbasi, Mohammadreza, et al.
Published: (2024)
by: Malekabbasi, Mohammadreza, et al.
Published: (2024)
Sustainable Graph Analytics Workload Scheduling with Evolutionary Reinforcement Learning in Edge-Cloud Systems
by: Ramicetty, P., et al.
Published: (2026)
by: Ramicetty, P., et al.
Published: (2026)
ElastiBench: Scalable Continuous Benchmarking on Cloud FaaS Platforms
by: Schirmer, Trever, et al.
Published: (2024)
by: Schirmer, Trever, et al.
Published: (2024)
Application-Centric Benchmarking of Distributed FaaS Platforms using BeFaaS
by: Grambow, Martin, et al.
Published: (2023)
by: Grambow, Martin, et al.
Published: (2023)
Towards a Testbed for Scalable FaaS Platforms
by: Schirmer, Trever, et al.
Published: (2025)
by: Schirmer, Trever, et al.
Published: (2025)
Optimizing FaaS Platforms for MCP-enabled Agentic Workflows
by: Kulkarni, Varad, et al.
Published: (2026)
by: Kulkarni, Varad, et al.
Published: (2026)
Characterizing FaaS Workflows on Public Clouds: The Good, the Bad and the Ugly
by: Kulkarni, Varad, et al.
Published: (2025)
by: Kulkarni, Varad, et al.
Published: (2025)
Provuse: Platform-Side Function Fusion for Performance and Efficiency in FaaS Environments
by: Kowallik, Niklas, et al.
Published: (2026)
by: Kowallik, Niklas, et al.
Published: (2026)
LLM4FaaS: No-Code Application Development using LLMs and FaaS
by: Wang, Minghe, et al.
Published: (2025)
by: Wang, Minghe, et al.
Published: (2025)
Junctiond: Extending FaaS Runtimes with Kernel-Bypass
by: Saurez, Enrique, et al.
Published: (2024)
by: Saurez, Enrique, et al.
Published: (2024)
Flock: A Low-Cost Streaming Query Engine on FaaS Platforms
by: Liao, Gang, et al.
Published: (2023)
by: Liao, Gang, et al.
Published: (2023)
FaaS Is Not Enough: Serverless Handling of Burst-Parallel Jobs
by: Barcelona-Pons, Daniel, et al.
Published: (2024)
by: Barcelona-Pons, Daniel, et al.
Published: (2024)
The State of FaaS: An analysis of public Functions-as-a-Service providers
by: Ekwe-Ekwe, Nnamdi, et al.
Published: (2024)
by: Ekwe-Ekwe, Nnamdi, et al.
Published: (2024)
Joint$λ$: Orchestrating Serverless Workflows on Jointcloud FaaS Systems
by: Li, Rui, et al.
Published: (2025)
by: Li, Rui, et al.
Published: (2025)
Increasing Efficiency and Result Reliability of Continuous Benchmarking for FaaS Applications
by: Rese, Tim C., et al.
Published: (2024)
by: Rese, Tim C., et al.
Published: (2024)
Umbilical Choir: Automated Live Testing for Edge-To-Cloud FaaS Applications
by: Malekabbasi, Mohammadreza, et al.
Published: (2025)
by: Malekabbasi, Mohammadreza, et al.
Published: (2025)
Eudoxia: a FaaS scheduling simulator for the composable lakehouse
by: Srivastava, Tapan, et al.
Published: (2025)
by: Srivastava, Tapan, et al.
Published: (2025)
In Serverless, OS Scheduler Choice Costs Money: A Hybrid Scheduling Approach for Cheaper FaaS
by: Zhao, Yuxuan, et al.
Published: (2024)
by: Zhao, Yuxuan, et al.
Published: (2024)
AgentX: Towards Orchestrating Robust Agentic Workflow Patterns with FaaS-hosted MCP Services
by: Tokal, Shiva Sai Krishna Anand, et al.
Published: (2025)
by: Tokal, Shiva Sai Krishna Anand, et al.
Published: (2025)
Transformer-Based Model for Cold Start Mitigation in FaaS Architecture
by: Mouen, Alexandre Savi Fayam Mbala, et al.
Published: (2025)
by: Mouen, Alexandre Savi Fayam Mbala, et al.
Published: (2025)
Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning
by: Hudson, Nathaniel, et al.
Published: (2024)
by: Hudson, Nathaniel, et al.
Published: (2024)
Action Engine: Automatic Workflow Generation in FaaS
by: Esashi, Akiharu, et al.
Published: (2024)
by: Esashi, Akiharu, et al.
Published: (2024)
Limitless FaaS: Overcoming serverless functions execution time limits with invoke driven architecture and memory checkpoints
by: Andraca, Rodrigo Landa, et al.
Published: (2024)
by: Andraca, Rodrigo Landa, et al.
Published: (2024)
SLO-Aware Scheduling for Large Language Model Inferences
by: Huang, Jinqi, et al.
Published: (2025)
by: Huang, Jinqi, et al.
Published: (2025)
ProFaaStinate: Delaying Serverless Function Calls to Optimize Platform Performance
by: Schirmer, Trever, et al.
Published: (2023)
by: Schirmer, Trever, et al.
Published: (2023)
Tangram: High-resolution Video Analytics on Serverless Platform with SLO-aware Batching
by: Peng, Haosong, et al.
Published: (2024)
by: Peng, Haosong, et al.
Published: (2024)
Aladdin: Joint Placement and Scaling for SLO-Aware LLM Serving
by: Nie, Chengyi, et al.
Published: (2024)
by: Nie, Chengyi, et al.
Published: (2024)
SLO-Aware Task Offloading within Collaborative Vehicle Platoons
by: Sedlak, Boris, et al.
Published: (2024)
by: Sedlak, Boris, et al.
Published: (2024)
Taming Request Imbalance: SLO-Aware Scheduling for Disaggregated LLM Inference
by: Wang, Qipeng
Published: (2026)
by: Wang, Qipeng
Published: (2026)
PromptTuner: SLO-Aware Elastic System for LLM Prompt Tuning
by: Gao, Wei, et al.
Published: (2026)
by: Gao, Wei, et al.
Published: (2026)
PATCHEDSERVE: A Patch Management Framework for SLO-Optimized Hybrid Resolution Diffusion Serving
by: Sun, Desen, et al.
Published: (2025)
by: Sun, Desen, et al.
Published: (2025)
FaasMeter: Energy-First Serverless Computing
by: Rehman, Abdul, et al.
Published: (2024)
by: Rehman, Abdul, et al.
Published: (2024)
BrownoutServe: SLO-Aware Inference Serving under Bursty Workloads for MoE-based LLMs
by: Hu, Jianmin, et al.
Published: (2025)
by: Hu, Jianmin, et al.
Published: (2025)
Harli: SLO-Aware Co-location of LLM Inference and PEFT-based Finetuning on Model-as-a-Service Platforms
by: Xu, Ao, et al.
Published: (2025)
by: Xu, Ao, et al.
Published: (2025)
Hummingbird: SLO-Oriented GPU Preemption at Microsecond-scale
by: Hu, Tiancheng, et al.
Published: (2026)
by: Hu, Tiancheng, et al.
Published: (2026)
Similar Items
-
Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters
by: Moore, Hayden, et al.
Published: (2025) -
CASA: A Framework for SLO and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing
by: Qi, S., et al.
Published: (2024) -
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS
by: Kamatar, Alok, et al.
Published: (2024) -
Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers
by: Hogade, Ninad, 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)