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Sphere: Simulator of edge infrastructures for the optimization of performance and resources energy consumption
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.Ministerio de Ciencia, Innovación y Universidades RTI2018-098062-A-I0
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