Towards Auction-Based Function Placement in Serverless Fog Platforms

TL;DR

This paper proposes an auction-based method for function placement in fog computing platforms, enabling edge offloading decisions based on developer bids to optimize resource utilization and revenue.

Contribution

It introduces a novel auction-based approach for function placement in fog environments, combining developer bidding with local resource management.

Findings

Simulation results show effective resource allocation

The approach can maximize fog node revenue

Potential for improved offloading decisions

Abstract

The Function-as-a-Service (FaaS) paradigm has a lot of potential as a computing model for fog environments comprising both cloud and edge nodes. When the request rate exceeds capacity limits at the edge, some functions need to be offloaded from the edge towards the cloud. In this position paper, we propose an auction-based approach in which application developers bid on resources. This allows fog nodes to make a local decision about which functions to offload while maximizing revenue. For a first evaluation of our approach, we use simulation.