Cover Image

Characterizing FaaS Workflows on Public Clouds: The Good, the Bad and the Ugly

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kulkarni, Varad, Reddy, Nikhil, Khare, Tuhin, Prasad, Abhinandan S., Babu, Chitra, Simmhan, Yogesh
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

Optimizing FaaS Platforms for MCP-enabled Agentic Workflows
by: Kulkarni, Varad, et al.
Published: (2026)

AgentX: Towards Orchestrating Robust Agentic Workflow Patterns with FaaS-hosted MCP Services
by: Tokal, Shiva Sai Krishna Anand, et al.
Published: (2025)

GeoFaaS: An Edge-to-Cloud FaaS Platform
by: Malekabbasi, Mohammadreza, et al.
Published: (2024)

Joint$λ$: Orchestrating Serverless Workflows on Jointcloud FaaS Systems
by: Li, Rui, et al.
Published: (2025)

ElastiBench: Scalable Continuous Benchmarking on Cloud FaaS Platforms
by: Schirmer, Trever, et al.
Published: (2024)

GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS
by: Kamatar, Alok, et al.
Published: (2024)

LLM4FaaS: No-Code Application Development using LLMs and FaaS
by: Wang, Minghe, et al.
Published: (2025)

Application-Centric Benchmarking of Distributed FaaS Platforms using BeFaaS
by: Grambow, Martin, et al.
Published: (2023)

Junctiond: Extending FaaS Runtimes with Kernel-Bypass
by: Saurez, Enrique, et al.
Published: (2024)

Towards a Testbed for Scalable FaaS Platforms
by: Schirmer, Trever, et al.
Published: (2025)

FaaS Is Not Enough: Serverless Handling of Burst-Parallel Jobs
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)

Increasing Efficiency and Result Reliability of Continuous Benchmarking for FaaS Applications
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)

Eudoxia: a FaaS scheduling simulator for the composable lakehouse
by: Srivastava, Tapan, et al.
Published: (2025)

Provuse: Platform-Side Function Fusion for Performance and Efficiency in FaaS Environments
by: Kowallik, Niklas, et al.
Published: (2026)

Action Engine: Automatic Workflow Generation in FaaS
by: Esashi, Akiharu, et al.
Published: (2024)

Flock: A Low-Cost Streaming Query Engine on FaaS Platforms
by: Liao, Gang, et al.
Published: (2023)

In Serverless, OS Scheduler Choice Costs Money: A Hybrid Scheduling Approach for Cheaper FaaS
by: Zhao, Yuxuan, et al.
Published: (2024)

Understanding the Performance and Power of LLM Inferencing on Edge Accelerators
by: Arya, Mayank, et al.
Published: (2025)

ATLAS: Efficient Out-of-Core Inference for Billion-Scale Graph Neural Networks
by: Naman, Pranjal, et al.
Published: (2026)

OptimES: Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks
by: Naman, Pranjal, et al.
Published: (2025)

Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device
by: Tayal, Mumuksh, et al.
Published: (2025)

Ripple: Scalable Incremental GNN Inferencing on Large Streaming Graphs
by: Naman, Pranjal, et al.
Published: (2025)

Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models
by: K., Prashanthi S., et al.
Published: (2025)

Transformer-Based Model for Cold Start Mitigation in FaaS Architecture
by: Mouen, Alexandre Savi Fayam Mbala, et al.
Published: (2025)

Adaptive Heuristics for Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets
by: Raj, Suman, et al.
Published: (2024)

Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning
by: Hudson, Nathaniel, et al.
Published: (2024)

AeroGen: Agentic Drone Autonomy through Single-Shot Structured Prompting & Drone SDK
by: Astu, Kautuk, et al.
Published: (2026)

Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators
by: K., Prashanthi S., et al.
Published: (2023)

A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management
by: Qi, Sirui, et al.
Published: (2024)

Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks
by: Naman, Pranjal, et al.
Published: (2025)

Limitless FaaS: Overcoming serverless functions execution time limits with invoke driven architecture and memory checkpoints
by: Andraca, Rodrigo Landa, et al.
Published: (2024)

RIPPLE++: An Incremental Framework for Efficient GNN Inference on Evolving Graphs
by: Naman, Pranjal, et al.
Published: (2026)

AeroDaaS: A Programmable Drones-as-a-Service Platform for Intelligent Aerial Systems
by: Astu, Kautuk, et al.
Published: (2026)

AeroDaaS: Towards an Application Programming Framework for Drones-as-a-Service
by: Raj, Suman, et al.
Published: (2025)

Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators
by: Banerjee, Roopkatha, et al.
Published: (2025)

A Blockchain-Enabled Framework for Storage and Retrieval of Social Data
by: Parab, Aishwarya, et al.
Published: (2025)

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

AerialDB: A Federated Peer-to-Peer Spatio-temporal Edge Datastore for Drone Fleets
by: Jaiswal, Shashwat, et al.
Published: (2025)