Function-Aware Resource Management Framework for Serverless Edge Computing

Haneul Ko, Sangheon Pack

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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
Issue number2
Publication statusPublished - 2023 Jan 15
Externally publishedYes


  • 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


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