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GRAND: toward scalability in a Grid environment
Author(s) -
Vargas Patrícia Kayser,
Dutra Inês C.,
do Nascimento Vinícius D.,
Santos Lucas A. S.,
da Silva Luciano C.,
Geyer Cláudio F. R.,
Schulze Bruno
Publication year - 2006
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.1138
Subject(s) - computer science , scalability , software deployment , grid , distributed computing , queue , fault tolerance , interface (matter) , operating system , computer network , geometry , mathematics , bubble , maximum bubble pressure method
Abstract 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 © 2006 John Wiley & Sons, Ltd.