AuctionWhisk: Using an auction‐inspired approach for function placement in serverless fog platforms. (6th December 2021)

• Record Type: Journal Article
• Authors: Bermbach, David; Bader, Jonathan; Hasenburg, Jonathan; Pfandzelter, Tobias; Thamsen, Lauritz
• Is Part Of: Software, practice & experience. Volume 52:Number 5(2022)
• Page Start: 1143
• Page End: 1169
• Publication Date: 2021-12-06
• Subjects: distributed scheduling -- fog computing -- function‐as‐a‐service -- serverless computing; Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.3058
• Languages: English
• ISSNs: 0038-0644

Abstract

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