.png){kind=icon}
返回
A workflow model for heterogeneous computing environments
.png){kind=icon}
PRE
AI
DOI：10.1016/j.future.2008.09.010.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This work presents the details of a model for fully decentralised scientific workflow management designed to support the efficient execution of applications in heterogeneous and unpredictable computing environments. The proposed model involves a novel application of the overlay metacomputer concept, built on a graph-oriented peer to peer framework. The use of peer to peer overlay on both batch and cycle scavenging systems Simultaneously enables the aggregation and virtual homogenisation of heterogeneous resource collectives, and makes possible the execution of complex scientific workflow applications oil otherwise batch oriented processors. Overlaying a peer to peer workflow management system oil multiple independent sites decouples task expression from resource allocation, i.e., the host resource managers allocate processing elements to host the peers, allowing the peers execute Multiple workflow tasks. This facilitates the efficient execution of very fine grained workflow expressions, which is shown to reduce both application makespan and wasted cycles when using processing elements allocated by a pre-emptive resource manager. Quantitative results are presented based on performance observed in a large scale heterogeneous multi-user environment. (C) 2008 Elsevier B.V. All rights reserved.
Keyword:
Heterogeneous resource aggregation
Fine grained workflow
Pre-emptive environments
Condensed graphs
Webcom
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:
6.9K
被引数:
2.3W
机构
引用论文
Temperature-controlled Cd(II)–phosphonate coordination polymers: Syntheses, crystal structures, and luminescent properties.png)
Polyhedron
PolyhedronIF0
PREAI
分享收藏Efficient task replication and management for adaptive fault tolerance in Mobile Grid environments
PREAI
分享收藏
查看更多内容