AuctionWhisk: Using an auction?inspired approach for function placement in serverless fog platforms

The Function-as-a-Service (FaaS) paradigm has a lot of potential as computing model for fog environments comprising both cloud and edge nodes, compute requests can be scheduled across the entire continuum in fine-grained manner. When request rate exceeds capacity limits at resource-constrained edge, some functions need to offloaded toward cloud. In this article, we present an auction-inspired approach which application developers bid on resources while nodes decide locally execute offload order maximize revenue. Unlike many current approaches function placement fog, our work online decentralized We also proof-of-concept prototype AuctionWhisk that illustrates how such implemented real FaaS platform. Through number simulation runs system experiments, show revenue overloaded maximized without dropping requests.