Title :
FARM: a feedback-based adaptive resource management for autonomous hot-spot convergence system
Author :
S. Swaminathan;G. Manimaran
fDate :
6/24/1905 12:00:00 AM
Abstract :
We present a novel and comprehensive resource management solution for the autonomous hot-spot convergence system (AHSCS) that uses sensor web. This solution is in response to a call for solution at the WPDRTS 2002. The proposed solution involves system analysis and design and developing a new resource management methodology, which we call Feedback-based Adaptive Resource Management (FARM). The FARM methodology combines the advantages of feedback control scheduling, path-based scheduling, value-based scheduling, and survivability strategies to provide dependable (predictable, reliable, and secure) services to the AHSCS.
Keywords :
"Resource management","Convergence","Instruments","Processor scheduling","Intelligent sensors","Low earth orbit satellites","Sensor arrays","Computer networks","Geoscience","Real time systems"
Conference_Titel :
Parallel and Distributed Processing Symposium., Proceedings International, IPDPS 2002, Abstracts and CD-ROM
Print_ISBN :
0-7695-1573-8
DOI :
10.1109/IPDPS.2002.1016484