Grid computing provides infrastructure for solving distributed problem by sharing, selection and aggregation of distributed resources at runtime depending on their availability, performance, cost and user's quality of service requirements. Utilization of this powerful technology is mainly conditioned by tricky management of different architectures and environments and by the difficulty to identify an efficient resource selection to map tasks into grid resources that dynamically vary their features. Resources selection needs of intelligence based automatic workflow generation to predict optimal run-time jobs allocation. In this paper we propose a dynamic job run-time scheduling system based on Java and fuzzy technology to manage Grid resources and minimize human interaction in scheduling grid jobs
Jobs run-time scheduling in a Java Based Grid Architecture / Guaragnella, Cataldo; Guerriero, Andrea; C., Pasquale; F., Ragni (LECTURE NOTES IN COMPUTER SCIENCE). - In: Emerging intelligent computing technology and applications : 5. International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009 : proceedings / [a cura di] De-Shuang Huang ... [et al.]. - [s.l] : Springer, 2009. - ISBN 978-3-642-04069-6. - pp. 453-463 [10.1007/978-3-642-04070-2_51]
Jobs run-time scheduling in a Java Based Grid Architecture
GUARAGNELLA, Cataldo;GUERRIERO, Andrea;
2009-01-01
Abstract
Grid computing provides infrastructure for solving distributed problem by sharing, selection and aggregation of distributed resources at runtime depending on their availability, performance, cost and user's quality of service requirements. Utilization of this powerful technology is mainly conditioned by tricky management of different architectures and environments and by the difficulty to identify an efficient resource selection to map tasks into grid resources that dynamically vary their features. Resources selection needs of intelligence based automatic workflow generation to predict optimal run-time jobs allocation. In this paper we propose a dynamic job run-time scheduling system based on Java and fuzzy technology to manage Grid resources and minimize human interaction in scheduling grid jobsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
