David Bermbach, S. Maghsudi, Jonathan Hasenburg, Tobias Pfandzelter
{"title":"Towards Auction-Based Function Placement in Serverless Fog Platforms","authors":"David Bermbach, S. Maghsudi, Jonathan Hasenburg, Tobias Pfandzelter","doi":"10.1109/ICFC49376.2020.00012","DOIUrl":null,"url":null,"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.","PeriodicalId":173977,"journal":{"name":"2020 IEEE International Conference on Fog Computing (ICFC)","volume":"257 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Fog Computing (ICFC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFC49376.2020.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 34
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.