Imagen de Portada

Optimizing FaaS Platforms for MCP-enabled Agentic Workflows

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kulkarni, Varad, Jha, Vaibhav, Reddy, Nikhil, Eswaran, Anand, Jayachandran, Praveen, Simmhan, Yogesh
Formato:	Preprint
Publicado:	2026
Materias:	Distributed, Parallel, and Cluster Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Characterizing FaaS Workflows on Public Clouds: The Good, the Bad and the Ugly
por: Kulkarni, Varad, et al.
Publicado: (2025)

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

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

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

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

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

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

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

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

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

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

FaaS Is Not Enough: Serverless Handling of Burst-Parallel Jobs
por: Barcelona-Pons, Daniel, et al.
Publicado: (2024)

The State of FaaS: An analysis of public Functions-as-a-Service providers
por: Ekwe-Ekwe, Nnamdi, et al.
Publicado: (2024)

Increasing Efficiency and Result Reliability of Continuous Benchmarking for FaaS Applications
por: Rese, Tim C., et al.
Publicado: (2024)

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

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

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

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

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

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

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

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

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

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

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

Umbilical Choir: Automated Live Testing for Edge-To-Cloud FaaS Applications
por: Malekabbasi, Mohammadreza, et al.
Publicado: (2025)

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

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

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

ProFaaStinate: Delaying Serverless Function Calls to Optimize Platform Performance
por: Schirmer, Trever, et al.
Publicado: (2023)

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

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

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

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

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

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

Aragog: Just-in-Time Model Routing for Scalable Serving of Agentic Workflows
por: Dai, Yinwei, et al.
Publicado: (2025)

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

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