Capybara: an Edge-Friendly Distributed Object Store for Diverse Serverless Functions
Year: 2025
Type: conference-paper
Abstract: While originally designed for the cloud, the benefits of the serverless paradigm are also vital in Edge/Fog computing environments. This paper presents Capybara, a new scalable, programmable distributed object store for storing and sharing serverless function data objects (state) on edge infrastructures. The key innovations here are (1) achieving scalability and avoiding the significant DRAM cost of indexing metadata servers through a "game-theoretic" DHT-based P2P architecture; (2) providing edge users with a "programmable" handler abstraction to customize data management policies, such as different function image caching policies, warm container "keep-alive" durations, data access control methods, and data replication policies.
Authors: Xin Chen, Manoj Prabhakar Paidiparthy, Chen Qian, Liting Hu
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funder: National Science Foundation
Awards: CNS Core: Small: Core Scheduling Techniques and Programming Abstractions for Scalable Serverless Edge Computing Engine, OAC Core: A Scalable and Deployable Container Orchestration Cyber Infrastructure Toolkit for Deploying Big Data Analytics Applications in Public Cloud, CAREER: Scalable and Adaptive Edge Stream Processing
OpenAlex ID: W7110178796
