Probabilistic QoS-aware Placement of VNF Chains at the Edge. Issue 1 (15th January 2022)

• Record Type: Journal Article
• Authors: FORTI, STEFANO; PAGANELLI, FEDERICA; BROGI, ANTONIO
• Is Part Of: Theory and practice of logic programming. Volume 22:Issue 1(2022)
• Page Start: 1
• Page End: 36
• Publication Date: 2022-01-15
• Subjects: Edge computing -- IoT -- VNF chain placement -- NFV -- SDN -- probabilistic logic programming; Logic programming -- Periodicals; Artificial intelligence -- Computer programs -- Periodicals; Constraint programming (Computer science) -- Periodicals; 005.115
• DOI: 10.1017/S1471068421000016
• Languages: English
• ISSNs: 1471-0684

Abstract

Abstract: Deploying Internet of Things (IoT)-enabled virtual network function (VNF) chains to Cloud-Edge infrastructures requires determining a placement for each VNF that satisfies all set deployment requirements as well as a software-defined routing of traffic flows between consecutive functions that meets all set communication requirements. In this article, we present a declarative solution, EdgeUsher, to the problem of how to best place VNF chains to Cloud-Edge infrastructures. EdgeUsher can determine all eligible placements for a set of VNF chains to a Cloud-Edge infrastructure so to satisfy all of their hardware, IoT, security, bandwidth, and latency requirements. It exploits probability distributions to model the dynamic variations in the available Cloud-Edge infrastructure and to assess output eligible placements against those variations.