Function-Aware Resource Management Framework for Serverless Edge Computing

Haneul Ko, Sangheon Pack

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Serverless edge computing is an emerging concept where only required functions are defined and executed as container instances at the edge cloud. The edge cloud has finite resources; therefore, sophisticated resource management is indispensable to accommodate more requests. In this article, we propose a function-aware resource management (FARM) framework for serverless edge computing that defines per-function queues to maximally utilize edge cloud resources. The FARM framework optimally determines: 1) which container instances should be maintained as warm status and 2) the amount of computing resources assigned to them. The FARM framework specifically formulates a constrained Markov decision process problem to minimize the memory resource consumption for the warm status maintenance while guaranteeing on-time task completion and converts it to a linear programming model to derive the optimal solution. The evaluation results show that the FARM framework can reduce the memory resource consumption of the edge cloud while meeting the on-time task completion.

Original languageEnglish
Pages (from-to)1310-1319
Number of pages10
JournalIEEE Internet of Things Journal
Volume10
Issue number2
DOIs
Publication statusPublished - 2023 Jan 15
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Function-aware resource management (FARM)
  • joint optimization
  • serverless edge computing
  • warm start

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Function-Aware Resource Management Framework for Serverless Edge Computing'. Together they form a unique fingerprint.

Cite this