Scheduling in the Grid Application Development Software Project

Dail, Holly; Sievert, Otto; Berman, Fran; Casanova, Henri; YarKhan, Asim; Vadhiyar, Sathish; Dongarra, Jack; Liu, Chuang; Yang, Lingyun; Angulo, Dave; Foster, Ian

doi:10.1007/978-1-4615-0509-9_6

Cited by 47 publications

(32 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…GrADS is built upon three components [6]. A Program Preparation System handles application development, composition, and compilation, a Program Execution System provides on-line resource discovery, binding, application performance monitoring, and rescheduling.…”

Section: Related Workmentioning

confidence: 99%

Plug-in scheduler design for a distributed grid environment

Caron

Chis

2006

Proceedings of the 4th International Workshop on Middleware for Grid Computing

View full text Add to dashboard Cite

This report presents the approach chosen within the DIET (Distributed Interactive Engineering Toolbox) project a Grid-RPC environment to allow a resource broker to be tuned for specific application classes. Our design allows the use of generic or application dependent performance measures in a simple and seamless way. Key-words: Grid Computing, Scheduling, Performance PredictionThis text is also available as a research report of the Laboratoire de l'Informatique du Parallélisme http://www.ens-lyon.fr/LIP. Plug-in Scheduler Design for a Distributed Grid EnvironmentRésumé : Ce rapport présente l'approche choisie dans le cadre du projet DIET (Distributed Interactive Engineering Toolbox), un environnement de type Grid-RPC, permettantà un ordonnanceur d'être adapté pour des classes d'applications spécifiques. Notre approche permet, de façon simple, d'utiliser des mesures de performances génériques ou dépendantes de l'application.

show abstract

Section: Related Workmentioning

confidence: 99%

Plug-in scheduler design for a distributed grid environment

Caron

Chis

2006

Proceedings of the 4th International Workshop on Middleware for Grid Computing

View full text Add to dashboard Cite

show abstract

“…Other schedulers can also be used in the GrADSoft framework, for example, an exhaustive search scheduler exists and experiments have been performed using a simulated annealing scheduler [34]. Several papers have discussed details of the scheduling in GrADSoft [11,10,8].…”

Section: Performance Model Mapper and Schedulingmentioning

confidence: 99%

Biological sequence alignment on the computational grid using the GrADS framework

YarKhan

Dongarra

2005

Future Generation Computer Systems

Self Cite

View full text Add to dashboard Cite

In spite of the existence of several grid middleware projects, developing and executing programs on the computational grid remains a user intensive process. The goal of the Grid Application Development Software (GrADS) project is to make the grid simpler to use despite the dynamically changing status of grid resources. Protein and genome sequence alignment is a basic operation in bioinformatics, and it requires large data sets and tends to be highly compute intensive. In this paper, we present work done to grid-enable a biological sequence alignment package (FASTA) and to run it under the GrADS framework. We discuss the advantages of using GrADS framework for FASTA.

show abstract

“…Therefore, the goal of the paper is to define a systematic development process for Grid systems that supports the participation of mobile nodes and incorporates security aspects into of all sofware lifecycle will thus play a significant role in the development of systems based on Grid computing. The reasons that led us to focus on this topic are several: Firstly, the lack of adequate development methods for this kind of systems since the majority of existing Grid applications have been built without a systematic development process and are based on ad-hoc developments (Dail et al, 2004;Kolonay & Sobolewski, 2004), suggests the need for adapted development methodologies (Giorgini et al, 2007;Graham, 2006;Jacobson et al, 1999;Open Group, 2009). Secondly, due to the fact that the resources in a Grid are expensive, dynamic, heterogeneous, geographically located and under the control of multiple administrative domains (Bhanwar & Bawa, 2008), and the tasks accomplished and the information exchanged are confidential and sensitive, the security of these systems is hard to achieve.…”

mentioning

confidence: 99%