Cargando…
Sector and Sphere: the design and implementation of a high-performance data cloud
Cloud computing has demonstrated that processing very large datasets over commodity clusters can be done simply, given the right programming model and infrastructure. In this paper, we describe the design and implementation of the Sector storage cloud and the Sphere compute cloud. By contrast with t...
Autores principales: | Gu, Yunhong, Grossman, Robert L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3391065/ https://www.ncbi.nlm.nih.gov/pubmed/19451100 http://dx.doi.org/10.1098/rsta.2009.0053 |
Ejemplares similares
-
High-Precision Registration of Point Clouds Based on Sphere Feature Constraints
por: Huang, Junhui, et al.
Publicado: (2016) -
Implementing Azure Cloud design patterns: implement efficient design patterns for data management, high availability, monitoring, and other popular patterns on your Azure Cloud
por: Michalski, Oliver, et al.
Publicado: (2018) -
Data Lakes, Clouds, and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data
por: Grossman, Robert L.
Publicado: (2019) -
Storage design and implementation in vSphere 5.0
por: Khalil, Mostafa
Publicado: (2012) -
Design and Implementation of High-Availability Architecture for IoT-Cloud Services
por: Yang, Hyunsik, et al.
Publicado: (2019)