Cargando…
Big Data Workflows: Locality-Aware Orchestration Using Software Containers
The emergence of the edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. Therefore, data processing solutions must consider data locality to reduce the performance penalties from data transfers among re...
Autores principales: | Corodescu, Andrei-Alin, Nikolov, Nikolay, Khan, Akif Quddus, Soylu, Ahmet, Matskin, Mihhail, Payberah, Amir H., Roman, Dumitru |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706844/ https://www.ncbi.nlm.nih.gov/pubmed/34960302 http://dx.doi.org/10.3390/s21248212 |
Ejemplares similares
-
Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines
por: Khan, Akif Quddus, et al.
Publicado: (2023) -
Deep learning approach to security enforcement in cloud workflow orchestration
por: El-Kassabi, Hadeel T., et al.
Publicado: (2023) -
Analysis software and workflows in LHCb
por: Rodrigues, Eduardo
Publicado: (2019) -
Docker containers and orchestration
por: SINDRILARU, Elvin Alin
Publicado: (2015) -
Software Agents in Data and Workflow Management
por: Barrass, T A, et al.
Publicado: (2005)