Por favor, use este identificador para citar o enlazar este ítem:
https://hdl.handle.net/11000/34212
CloudEdgeAssetOptimizer: Tool to optimize the Cloud-Edge computing network resources at given requirements of processing delay, battery capacity and cost
Título : CloudEdgeAssetOptimizer: Tool to optimize the Cloud-Edge computing network resources at given requirements of processing delay, battery capacity and cost |
Autor : Tervydis, Paulius Svilainis, Linas Nakutis, Žilvinas Rodríguez-Martínez, Alberto |
Editor : Elsevier |
Departamento: Departamentos de la UMH::Ingeniería de Comunicaciones |
Fecha de publicación: 2024-05 |
URI : https://hdl.handle.net/11000/34212 |
Resumen :
CloudEdgeAssetsOptimizer is a software tool designed to evaluate and optimize the assets within a Cloud
and Edge computing network. Its primary purpose is to provide insights and estimations to ensure efficient
resource allocation and decision-making. The developed software simulates the queues in Cloud and Edge
devices, providing waiting times, battery consumption of Edge devices, and Servers’ load. With aforementioned
parameters available, valuable insights for decision-making can be obtained to optimize the network. Alternatively,
automated optimization can be performed using the embedded functions. CloudEdgeAssetsOptimizer
aims to optimize the operational efficiency, enhance resource utilization, and ultimately improve the overall
system performance. CloudEdgeAssetsOptimizer functions utilize the queueing theory principles, therefore
it also enables users to explore and fine-tune the system parameters across diverse domains, including
telecommunication networks, transportation and manufacturing systems.
|
Palabras clave/Materias: Edge Cloud computing Load balancing Optimization |
Área de conocimiento : CDU: Ciencias aplicadas: Ingeniería. Tecnología |
Tipo de documento : info:eu-repo/semantics/article |
Derechos de acceso: info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI : https://doi.org/10.1016/j.softx.2024.101714 |
Aparece en las colecciones: Artículos Ingeniería Comunicaciones
|
La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.