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Mobility Support for Energy and QoS aware IoT Services Placement in the Fog

Abstract : Fog computing has emerged as a strong distributed computation paradigm to support applications with stringent latency requirements. It offers almost ubiquitous computation capacities over a large geographical area. However, Fog systems are highly heterogeneous and dynamic which makes services placement decision quite challenging considering nodes mobility that may decrease the placement decision quality over time. This paper proposes a Mobility-aware Genetic Algorithm (MGA) for services placement in the Fog which aims at supporting nodes’ mobility while ensuring both infrastructures energy-efficiency and applications Quality of Service (QoS) requirements. We have compared this approach with two variants of Shortest Access Point migration strategy (SAP) from the literature, a proposed Mobility Greedy Heuristic (MGH) and a baseline Simple Genetic Algorithm (SGA). Experiments conducted with MyiFogSim simulator have shown that MGA ensures good performances in terms of energy and delay violations minimization compared to other methods.
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Submitted on : Tuesday, December 1, 2020 - 10:48:27 AM
Last modification on : Wednesday, June 9, 2021 - 10:00:32 AM
Long-term archiving on: : Tuesday, March 2, 2021 - 6:42:53 PM


Mobility Support for Energy an...
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Tanissia Djemai, Patricia Stolf, Thierry Monteil, Jean-Marc Pierson. Mobility Support for Energy and QoS aware IoT Services Placement in the Fog. 28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020), FESB : Faculté d'électronique, de génie mécanique et d'architecture navale de l'université de Split; Croatian Communications and Information Society (CCIS); Technically co-sponsored by the IEEE Communications Society, Sep 2020, Hvar, Croatia. pp.1-7, ⟨10.23919/SoftCOM50211.2020.9238236⟩. ⟨hal-03032764⟩



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