GRAND: toward scalability in a grid environment

• Tipo: Artigo em Revista Científica Internacional
• Data: 2007

Autores

Patricia Kayser Vargas (Autor) Outra; Ines C Dutra (Autor) FCUP; Vinfcius D do Nascimento (Autor) Outra; Lucas A S Santos (Autor) Outra; Luciano C da Silva (Autor) Outra; Claudio F R Geyer (Autor) Outra; Bruno Schulze (Autor) Outra

Revista

Título: Concurrency Computation Practice and Experience

Vol. 19

Páginas: 1991-2009

ISSN: 1532-0626

Editora: Wiley-Blackwell

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 4 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: P-005-5PK

DOI: 10.1002/cpe.1138

Abstract (EN): One of the challenges in Grid computing research is to provide a means to automatically submit, manage, and monitor applications whose main characteristic is to be composed of a large number of tasks. The large number of explicit tasks, generally placed on a centralized job queue, can cause several problems: (1) they can quickly exhaust the memory of the submission machine; (2) they can deteriorate the response time of the submission machine due to these demanding too many open ports to manage remote execution of each of the tasks; (3) they may cause network traffic congestion if all tasks try to transfer input and/or output files across the network at the same time; (4) they make it impossible for the user to follow execution progress without an automatic tool or interface; (5) they may depend on fault-tolerance mechanisms implemented at application level to ensure that all tasks terminate successfully. In this work we present and validate a novel architectural model, GRAND (Grid Robust ApplicatioN Deployment), whose main objective is to deal with the submission of a large numbers of tasks. Copyright (c) 2006 John Wiley & Sons, Ltd.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 19