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Multi-tenancy in resource-constrained environments is a key challenge in Edgecomputing. In this paper, we develop 'DYVERSE: DYnamic VERtical Scaling inEdge' environments, which is the first light-weight and dynamic verticalscaling mechanism for managing resources allocated to applications forfacilitating multi-tenancy in Edge environments. To enable dynamic verticalscaling, one static and three dynamic priority management approaches that areworkload-aware, community-aware and system-aware, respectively are proposed.This research advocates that dynamic vertical scaling and priority managementapproaches reduce Service Level Objective (SLO) violation rates. An online-gameand a face detection workload in a Cloud-Edge test-bed are used to validate theresearch. The merits of DYVERSE is that there is only a sub-second overhead perEdge server when 32 Edge servers are deployed on a single Edge node. Whencompared to executing applications on the Edge servers without dynamic verticalscaling, static priorities and dynamic priorities reduce SLO violation rates ofrequests by up to 4% and 12% for the online game, respectively, and in bothcases 6% for the face detection workload. Moreover, for both workloads, thesystem-aware dynamic vertical scaling method effectively reduces the latency ofnon-violated requests, when compared to other methods.

DYVERSE: DYnamic VERtical Scaling in Multi-tenant Edge Environments