Title :
Grid Resource Management by means of Ant Colony Optimization
Author :
Pavani, Gustavo Sousa ; Waldman, Helio
Author_Institution :
State Univ. of Campinas, Campinas
Abstract :
The use of a manageable optical network is an important requirement for the new advanced data-intensive grid applications that begin to emerge on the e-Science field. In this paper, we propose an ACO-based algorithm that can provision on-demand and dynamically lightpaths on a grid system. Indeed, the proposed algorithm can schedule jobs by discovering processing and network resources on the grid, assigning the job to a specific system and executing the job. This is achieved with the help of an integrated GMPLS control plane, which allows both resource monitoring and management of networking resources.
Keywords :
grid computing; optical fibre networks; telecommunication network management; ACO-based algorithm; GMPLS control plane; ant colony optimization; grid resource network management; job scheduling; optical network; resource monitoring; Ant colony optimization; Computer networks; Grid computing; Laboratories; Monitoring; Optical fiber networks; Resource management; Routing; Scalability; Scheduling;
Conference_Titel :
Broadband Communications, Networks and Systems, 2006. BROADNETS 2006. 3rd International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-0425-4
Electronic_ISBN :
978-1-4244-0425-4
DOI :
10.1109/BROADNETS.2006.4374427
