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A Matching Game With Discard Policy for Virtual Machines Placement in Hybrid Cloud-Edge Architecture for Industrial IoT Systems

Romano Fantacci, Benedetta Picano

2020IEEE Transactions on Industrial Informatics36 citationsDOIOpen Access PDF

Abstract

Nowadays, industrial Internet of Things (IIoTs) has gained attention as an emerging application area of the Internet of Things paradigm to improve efficiency and reliability in a wide class of manufacture processes. This article focuses on a combined edge-cloud computing architecture for IIoT systems, and addresses the minimization of both the mean system response time and the number of requests dropping due to a response time greater than their time deadline. The problem is formulated as a matching game with externalities between the edge computing servers, and the applications themselves. The proposed strategy adopts a discard policy with the aim at favoring the IIoT-devices requests with a not-expired deadline. Moreover, a suitable discussion of the matching stability is proposed. Finally, the strategy's validity has been confirmed by the system performance expressed in terms of mean and worst system response time and outage probability, in comparison to methods recently proposed in the literature.

Topics & Concepts

Computer scienceCloud computingServerEnhanced Data Rates for GSM EvolutionReliability (semiconductor)Matching (statistics)Distributed computingEdge computingResponse timeArchitectureThe InternetGame theoryMinificationStability (learning theory)Computer networkArtificial intelligenceMachine learningOperating systemEconomicsMathematicsArtQuantum mechanicsPhysicsProgramming languageStatisticsPower (physics)Visual artsMicroeconomicsIoT and Edge/Fog ComputingAdvanced Queuing Theory AnalysisBlockchain Technology Applications and Security