A worldwide flock of Condors: load sharing among workstation clusters
Future Generation Computer Systems - Special issue: resource management in distributed systems
SuperWeb: Towards a Global Web-Based Parallel Computing Infrastructure
IPPS '97 Proceedings of the 11th International Symposium on Parallel Processing
XtremWeb: A Generic Global Computing System
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Heuristics for Scheduling Parameter Sweep Applications in Grid Environments
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Volunteer computing
A Comparison among Grid Scheduling Algorithms for Independent Coarse-Grained Tasks
SAINT-W '04 Proceedings of the 2004 Symposium on Applications and the Internet-Workshops (SAINT 2004 Workshops)
| Hi-index | 0.00 |
This paper proposes a Low Management Cost computing Grid model (LMCGrid), aiming at harvesting the idle time of computers connected to Internet to run large-scale distributed applications. In LMCGrid, no specific node is designated to manage dynamically changing resources. Despite the absence of the management node, the corresponding information mechanism, task scheduling algorithm and limited task duplicating algorithm naturally evolve the system into equilibrium to perform large-scale distributed computation with low cost. A simulation software package has been developed to verify this model and to assess its performance. The results showed that LMCGrid reasonably distributed loads in a dynamic environment, and fully utilized the computational capacity of idling resources, and that it was feasible to solve large-scale, embarrassingly parallel applications such as parameter sweep and Monte Carlo simulations efficiently.