Year: 2024
Type: conference-paper
Abstract: Serverless computing is changing the way in which we structure and deploy computations in Internet-scale edge systems. This paper presents Capybara, a new scalable and 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 through a consistent DHT-based P2P architecture; and (2) providing a programmable handler abstraction to customize state management policies (e.g., data caching policies, container "keep-alive" times, access control methods, and data replication policies). We implement Capybara prototype on the Pastry DHT, deploy it on 150 Amazon EC2 nodes, and evaluate it by building several use cases to conduct real-world experiments, demonstrating its significant gains in data locality, state management customization, and scalability compared to the state-of-the-art.
Authors: Xin Chen, Manoj Prabhakar Paidiparthy, Liting Hu
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Awards: G1972130436, 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, G6671297155, CAREER: Scalable and Adaptive Edge Stream Processing
OpenAlex ID: W4401991742