GRAND: toward scalability in a grid environment

• Type: Article in International Scientific Journal
• Date: 2007

Authors

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

Journal

Title: Concurrency Computation Practice and Experience

Vol. 19

Pages: 1991-2009

ISSN: 1532-0626

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 4 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 19