The effect of using idle node-seeking task algorithm (INSTA) on sequence alignments of the cytochrome P450 superfamily, performed using the disk-storage algorithm. For up to 40 nodes, the total execution time decreased as the number of computation nodes increased. In cases of conditions of load imbalance, most nodes were not busy. In an extreme case, 75% of the overall nodes were idle state during the computation. This observation indicates that INSTA increases turnaround frequencies of the idle nodes for assigning the next job; thus, INSTA ensures that most nodes are busy. Increased speed is the main performance criterion for parallel and distributed algorithms. Within this work, it is possible to predict the system size that is required to adjust cluster node numbers and thus maximize speed-up and optimize computing resource utilization.