Cargando…
On-the-Fly Fusion of Remotely-Sensed Big Data Using an Elastic Computing Paradigm with a Containerized Spark Engine on Kubernetes
Remotely-sensed satellite image fusion is indispensable for the generation of long-term gap-free Earth observation data. While cloud computing (CC) provides the big picture for RS big data (RSBD), the fundamental question of the efficient fusion of RSBD on CC platforms has not yet been settled. To t...
Autores principales: | Huang, Wei, Zhou, Jianzhong, Zhang, Dongying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122984/ https://www.ncbi.nlm.nih.gov/pubmed/33922709 http://dx.doi.org/10.3390/s21092971 |
Ejemplares similares
-
Evaluating Kubernetes batch scheduling systems for containerized declarative data analyses
por: Tintin, Xavier
Publicado: (2023) -
Getting started with Kubernetes: extend your containerization strategy by orchestrating and managing large-scale container deployments
por: Baier, Jonathan, et al.
Publicado: (2018) -
Getting started with Kubernetes: orchestrate and manage large-scale Docker deployments with Kubernetes to unlock greater control over your infrastructure and extend your containerization strategy
por: Baier, Jonathan
Publicado: (2015) -
PARSUC: A Parallel Subsampling-Based Method for Clustering Remote Sensing Big Data
por: Xia, Huiyu, et al.
Publicado: (2019) -
Horizontal Pod Autoscaling in Kubernetes for Elastic Container Orchestration
por: Nguyen, Thanh-Tung, et al.
Publicado: (2020)