Y. Yang, X. Yang, and C. Zhou
Low management cost, task scheduling, information mechanism, limited task duplicating algorithm, LMCGrid
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.
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