In this paper, harmony search algorithms have been proposed to self-configuration of intelligent grids for big data processing. Self-configuration of computer grids lies in the fact that new computer nodes are automatically configured by software agents and then integrated into the grid. A base node works due to several configuration parameters that define some aspects of data communications and energy power consumption. We propose some optimization agents that are based on harmony search to find a suboptimal configuration of fault–tolerant grids processing big data. Criteria such as probability that all tasks meet their deadlines and also a reliability of grid are considered. Finally, some experimental results have been considered.