Modeling and simulation of smart grid-aware edge computing federations
Compute-intensive Internet of Things (IoTs) applications have led to the edge computing paradigm. Edge computing decentralizes the IT infrastructure in multiple edge data centers (EDCs) across the access networks to reduce latency and network congestion. Edge computing can benefit significantly from...
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| Veröffentlicht in: | Cluster computing 2023-02, Vol.26 (1), p.719-743 |
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| creator | Cárdenas, Román Arroba, Patricia Risco-Martín, José L. Moya, José M. |
| description | Compute-intensive Internet of Things (IoTs) applications have led to the edge computing paradigm. Edge computing decentralizes the IT infrastructure in multiple edge data centers (EDCs) across the access networks to reduce latency and network congestion. Edge computing can benefit significantly from different aspects of smart grids to achieve lower energy consumption and greater resilience to electricity price fluctuations. This paper presents a modeling, simulation, and optimization (M&S&O) framework for analyzing and dimensioning smart grid-aware edge computing federations. This tool integrates aspects of a consumer-centric smart grid model to the resource management policies of the EDCs. To illustrate the benefits of this tool, we show a realistic case study for optimizing the energy consumption and operational expenses of an edge computing federation that provides service to a driver assistance IoT application. Results show that this approach can reduce the daily energy consumption by 20.3% and the electricity budget by 30.3%. |
| doi_str_mv | 10.1007/s10586-022-03797-8 |
| format | Article |
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| subjects | Cloud computing Computer centers Computer Communication Networks Computer Science Cooling Edge computing Electricity Electricity pricing Energy consumption Energy efficiency Federations Internet of Things Internet service providers Modelling Network latency Operating Systems Processor Architectures Quality of service Resource management Simulation Smart grid Software |
| title | Modeling and simulation of smart grid-aware edge computing federations |
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