Adaptive computing on the Grid using AppLeS

Berman F.; Wolski R.; Casanova H.; Cirne W.; Dail H.; Faerman M.; Figueira S.; Hayes J.; Obertelli G.; Schopf J.; Shao G.; Smallen S.; Spring N.; Su A.; Zagorodnov D.

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Adaptive computing on the Grid using AppLeS

机译：使用AppLeS在网格上进行自适应计算

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摘要

Ensembles of distributed, heterogeneous resources, also known as computational grids, have emerged as critical platforms for high-performance and resource-intensive applications. Such platforms provide the potential for applications to aggregate enormous bandwidth, computational power, memory, secondary storage, and other resources during a single execution. However, achieving this performance potential in dynamic, heterogeneous environments is challenging. Recent experience with distributed applications indicates that adaptivity is fundamental to achieving application performance in dynamic grid environments. The AppLeS (Application Level Scheduling) project provides a methodology, application software, and software environments for adaptively scheduling and deploying applications in heterogeneous, multiuser grid environments. We discuss the AppLeS project and outline our findings.

机译：分布式，异构资源的集合（也称为计算网格）已经成为高性能和资源密集型应用程序的关键平台。这样的平台为应用程序在一次执行期间聚合巨大的带宽，计算能力，内存，辅助存储和其他资源提供了潜力。但是，在动态，异构环境中实现这种性能潜力具有挑战性。分布式应用程序的最新经验表明，适应性对于在动态网格环境中实现应用程序性能至关重要。 AppLeS（应用程序级别调度）项目提供了一种方法，应用程序软件和软件环境，用于在异构的多用户网格环境中自适应地调度和部署应用程序。我们讨论AppLeS项目并概述我们的发现。

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来源
《IEEE Transactions on Parallel and Distributed Systems》 |2003年第4期|p.369-382|共14页
作者
Berman F.; Wolski R.; Casanova H.; Cirne W.; Dail H.; Faerman M.; Figueira S.; Hayes J.; Obertelli G.; Schopf J.; Shao G.; Smallen S.; Spring N.; Su A.; Zagorodnov D.;
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San Diego Supercomput. Center, La Jolla, CA, USA;

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原文格式 PDF
正文语种 eng
中图分类无线电电子学、电信技术;
关键词
processor scheduling; metacomputing; distributed programming; distributed heterogeneous resources; computational grids; high-performance applications; resource-intensive applications; bandwidth; computational power; memory; secondary storage; adaptiv;

机译：处理器调度;元计算分布式编程;分散的异构资源;计算网格;高性能应用;资源密集型应用程序;带宽;计算能力;记忆;二级存储;适应性;

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机译：PG-TRUST：大型对等网格计算的自适应和可扩展的信任计算模型
2. Research of Adapting Algorithm for WSRF Model and Adapting in Grid Computing [J] . YANG, Qing, WANG, 电子学报：英文版 . 2006,第003期

机译：WSRF模型的自适应算法及网格计算的自适应研究
3. Appling Grid Computing for Video on Demand Performance Enhancement [J] . Dina Farouk ALtayeb Ali, Fatima abdelgani Mustafa, Rasha Husaan, International Journal of Innovative Research in Science, Engineering and Technology . 2016,第8期

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4. The AppLeS Parameter Sweep Template: User-Level Middleware for the Grid [C] . Casanova H., Berman F., Obertelli G., Supercomputing, ACM/IEEE 2000 Conference . -1

机译：AppLeS参数扫描模板：网格的用户级中间件
5. Asynchronous fast adaptive composite grid methods for elliptic problems on adaptively-refined curvilinear grids. [D] . Philip, Bobby. 2001

机译：自适应细化曲线网格上椭圆问题的异步快速自适应复合网格方法。
6. Indirect adaptive soft computing based wavelet-embedded control paradigms for WT/PV/SOFC in a grid/charging station connected hybrid power system [O] . Sidra Mumtaz, Laiq Khan, Saghir Ahmed, 2011

机译：电网/充电站混合动力系统中基于间接自适应软计算的WT / PV / SOFC小波嵌入控制范式
7. Adaptive Computing on the Grid Using AppLeS [O] . Henri Casanova, Walfredo Cirne, Holly Dail, 2015

机译：使用appLes在网格上进行自适应计算
8. Infrastructure to Support Massively Computing With Adaptive Unstructured Grids [R] . Jansen, K. E. , Shephard, M. S. , Flaherty, J. E. 1998

机译：利用自适应非结构化网格支持大规模计算的基础设施

Adaptive computing on the Grid using AppLeS

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