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Resource allocation for edge computing with multiple tenant configurations

Andrea Araldo, A. Di Stefano, Antonella Di Stefano

202031 citationsDOIOpen Access PDF

Abstract

Edge Computing (EC) consists in deploying computational resources, e.g., memory, CPUs, at the Edge of the network, e.g., base stations, access points, and run there a part of the computation currently running on the Cloud. This approach promises to reduce latency, inter-domain traffic and enhance user experience. Since resources at the Edge are scarce, resource allocation is crucial for EC. While most of the studies assume users interact directly with the Edge submitting a sequence of tasks, we instead consider that users will interact with different Service Providers (SPs), as they currently do in the Web. We therefore consider the case of a Network Operator (NO) that owns the resources at the Edge and must decide how much resource to allocate to the different tenants (SPs).

Topics & Concepts

Computer scienceEdge computingCloud computingEnhanced Data Rates for GSM EvolutionResource allocationComputer networkEdge deviceDistributed computingLatency (audio)Service (business)Resource (disambiguation)Service providerOperating systemTelecommunicationsEconomicsEconomyIoT and Edge/Fog ComputingCloud Computing and Resource ManagementCaching and Content Delivery