.png){kind=icon}
返回
Hybrid Computing-Where HPC meets grid and Cloud Computing
.png){kind=icon}
PRE
AI
DOI：10.1016/j.future.2010.11.003.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We introduce a hybrid High Performance Computing (HPC) infrastructure architecture that provides predictable execution of scientific applications, and scales from a single resource to multiple resources, with different ownership, policy, and geographic locations. We identify three paradigms in the evolution of HPC and high-throughput computing: owner-centric HPC (traditional), Grid computing, and Cloud computing. After analyzing the synergies among HPC, Grid and Cloud computing, we argue for an architecture that combines the benefits of these technologies. We call the building block of this architecture, Elastic Cluster. We describe the concept of Elastic Cluster and show how it can be used to achieve effective and predictable execution of HPC workloads. Then we discuss implementation aspects, and propose a new distributed information system design that combines features of distributed hash tables and relational databases. (C) 2010 Elsevier B.V. All rights reserved.
Keyword:
Distributed systems
Scheduling
Cloud computing
HPC
Statistical reservation
Cloud bursting
Virtualization
Distributed hash table
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
F
IF:
6.1
论文数:
6.8K
被引数:
2.3W
机构
暂无机构信息
引用论文
Do queens of bumblebee species differ in their choice of flower colour morphs of Corydalis cava (Fumariaceae)?.png)
Apidologie
OAAI
ApidologieIF0
OAAI分享收藏分享收藏
分享收藏
查看更多内容