Artículo
Sphere: Simulator of edge infrastructures for the optimization of performance and resources energy consumption
Autor/es | Fernández Cerero, Damián
Fernández Montes González, Alejandro Ortega Rodríguez, Francisco Javier Jakóbik, Agnieszka Widlak, Adrian |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2020 |
Fecha de depósito | 2022-03-14 |
Publicado en |
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Resumen | Edge computing constitutes a key paradigm to address the new requirements of areas such as
smart cars, industry 4.0, and health care, where massive amounts of heterogeneous data from
continuous geographically-distributed ... Edge computing constitutes a key paradigm to address the new requirements of areas such as smart cars, industry 4.0, and health care, where massive amounts of heterogeneous data from continuous geographically-distributed sources have to be processed and computed near real-time. To this end, new distributed infrastructures consisting on small computing clusters close to data sources, also known as Cloudlets have emerged. In order to evaluate the performance of these solutions we present Sphere, a simulation tool that enables researchers to establish various scenarios, including: (a) topology and orchestration model of the infrastructure; (b) incoming workload patterns; (c) resource-managing models; and (d) scheduling policies. Moreover, Sphere allows researchers to apply efficiency and performance policies both at infrastructure and cluster levels. The simulator presents the following benefits: (a) Evaluation of various orchestration models; (b) Analysis of resource-efficiency and performance strategies at Edge-infrastructure and cluster (Cloudlet/Cloud) level; (c) Execution of diverse workload generation patterns; (d) Evaluation of strategies for the infrastructure communication, as well as the impact on tasks completion time (makespan); and (e) Simulation of each cluster (Cloudlet/Cloud) independently, including resource-managing, scheduling and resource-efficiency models. Finally, we performed a deep evaluation based on realistic Edge-Computing use cases. The results of the experiments confirm that it is a performant and reliable tool for the analysis of orchestration, graph-resolving, energy-efficiency, resource-managing and scheduling strategies in Edge-computing environments. |
Agencias financiadoras | Ministerio de Ciencia, Innovación y Universidades (MICINN). España |
Identificador del proyecto | RTI2018-098062-A-I00 |
Cita | Fernández Cerero, D., Fernández Montes González, A., Ortega Rodríguez, F.J., Jakóbik, A. y Widlak, A. (2020). Sphere: Simulator of edge infrastructures for the optimization of performance and resources energy consumption. Simulation Modelling Practice and Theory, 101 (May 2020, nº101966) |
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