In order to ensure the data reliability, fault-tolerant distributed storage systems usually apply some data redundant strategies such as the multi-replicas strategy and the erasure coding strategy. Compared with the multi-replicas strategy, the erasure coding strategy has an advantage of storing less data while costs much more network traffic when repairing a failed node. To reduce the repair network cost, the regenerating code and locally repairable codes were proposed, and simple regenerating code is a representative of the locally repairable codes. However, most of the current fault-tolerant distributed storage methods based on coding strategy assume that the storage nodes are located in the star shaped logic network, ignoring the physical network topology and link bandwidth capacity. So with applying the physical network topology into the repair process of erasure code and regenerating code, some related researches propose methods of building tree shaped repair paths to get further more efficiency for repairing a failed node. But because of the difference in encoding and repairing process, those methods are not fit for the repair of simple regenerating code. To resolve the problem, this paper introduces the link bandwidth capacity into the repair process of simple regenerating code based on the physical network topology. It builds a bandwidth-aware node repair analysis model, and proposes an algorithm to build parallel repair trees based on the optimal bottleneck path and optimal repair tree methods. Experiments are also designed to evaluate the performance of the algorithm. The result shows that compared with the method based on star shaped network topology, the proposed algorithm reduces the latency of repair process effectively.